20 datasets found
  1. C

    Allegheny County Building Footprint Locations

    • data.wprdc.org
    • catalog.data.gov
    csv, geojson, html +2
    Updated Jun 18, 2020
    + more versions
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    Allegheny County (2020). Allegheny County Building Footprint Locations [Dataset]. https://data.wprdc.org/dataset/allegheny-county-building-footprint-locations
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    csv, zip(88665556), kml(667898226), geojson(433589441), htmlAvailable download formats
    Dataset updated
    Jun 18, 2020
    Dataset provided by
    Allegheny County DCS-GIS
    Authors
    Allegheny County
    Area covered
    Allegheny County
    Description

    This dataset contains photogrammetrically compiled roof outlines of buildings. All near orthogonal corners are square. Buildings that are less than 400 square feet are not captured. Special consideration is given to garages that are less than 400 square feet and will be digitized when greater than 200 square feet. Interim rooflines, such as dormers and party walls, as well as minor structures, such as carports, decks, patios, stairs, etc., and impermanent structures, such as sheds, are not shown. Large buildings which appear to house activities that are commercial or industrial in nature are shown as commercial/industrial. Structures that appear to be primarily residential in nature, including hotels and apartment buildings are shown as residential buildings. Structures which appear to be used or owned primarily by governmental, nonprofit, religious, or charitable organizations, or which serve a public function are shown as public buildings. Structures which are closely associated with a larger building, such as a garage, are shown as an out building. Structures which cannot be clearly defined as Industrial/Commercial; Residential; Public; or Out Buildings are flagged as such for later categorization. The classification of buildings is subject to the interpretation from the aerial photography and may not reflect the building’s actual use. Buildings that have an area less than the minimum required size for data capture will occasionally be present in the Geodatabase. Buildings are not removed after they have been digitized and determined to be less than the minimum required size.

    Development Notes: Data meets or exceeds map accuracy standards in effect during the spring of 1992 and updated as a result of a flyover in the spring of 2004 and 2015. Original data was derived from aerial photography flown in the spring of 1992 for the eastern half of the County and the spring of 1993 for the western half of the County. Photography was produced at a scale of 1"=1500'. Mapping was stereo digitized at a scale of 1"=200'.

  2. a

    Allegheny County Building Footprint Locations

    • hub.arcgis.com
    • openac-alcogis.opendata.arcgis.com
    • +1more
    Updated Jan 25, 2024
    + more versions
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    County of Allegheny, PA (2024). Allegheny County Building Footprint Locations [Dataset]. https://hub.arcgis.com/documents/90da4bafa779443aa150f0bc6d0f7adf
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    Dataset updated
    Jan 25, 2024
    Dataset authored and provided by
    County of Allegheny, PA
    Area covered
    Allegheny County
    Description

    This dataset contains photogrammetrically compiled roof outlines of buildings. All near orthogonal corners are square. Buildings that are less than 400 square feet are not captured. Special consideration is given to garages that are less than 400 square feet and will be digitized when greater than 200 square feet. Interim rooflines, such as dormers and party walls, as well as minor structures, such as carports, decks, patios, stairs, etc., and impermanent structures, such as sheds, are not shown. Large buildings which appear to house activities that are commercial or industrial in nature are shown as commercial/industrial. Structures that appear to be primarily residential in nature, including hotels and apartment buildings are shown as residential buildings. Structures which appear to be used or owned primarily by governmental, nonprofit, religious, or charitable organizations, or which serve a public function are shown as public buildings. Structures which are closely associated with a larger building, such as a garage, are shown as an out building. Structures which cannot be clearly defined as Industrial/Commercial; Residential; Public; or Out Buildings are flagged as such for later categorization. The classification of buildings is subject to the interpretation from the aerial photography and may not reflect the building’s actual use. Buildings that have an area less than the minimum required size for data capture will occasionally be present in the Geodatabase. Buildings are not removed after they have been digitized and determined to be less than the minimum required size.

    If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (https://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (https://openac-alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below.

    Category: Housing and Properties

    Organization: Allegheny County

    Department: Geographic Information Systems Group; Department of Information Technology

    Temporal Coverage: current

    Data Notes:

    Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot

    Development Notes: Data meets or exceeds map accuracy standards in effect during the spring of 1992 and updated as a result of a flyover in the spring of 2004 and 2015. Original data was derived from aerial photography flown in the spring of 1992 for the eastern half of the County and the spring of 1993 for the western half of the County. Photography was produced at a scale of 1"=1500'. Mapping was stereo digitized at a scale of 1"=200'.

    Other: none

    Related Document(s): Data Dictionary (none)

    Frequency - Data Change: Daily

    Frequency - Publishing: Nightly

    Data Steward Name: Eli Thomas

    Data Steward Email: gishelp@alleghenycounty.us

  3. Textured Buildings from Footprint by Land Use

    • rwanda.africageoportal.com
    • hub.arcgis.com
    • +1more
    Updated Jun 24, 2016
    + more versions
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    Esri (2016). Textured Buildings from Footprint by Land Use [Dataset]. https://rwanda.africageoportal.com/content/7b8c9c8e74e24485ad17fafa8754fbe3
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    Dataset updated
    Jun 24, 2016
    Dataset authored and provided by
    Esrihttp://esri.com/
    Description

    Buildings are the foundation of any 3D city; they create a realistic visual context for understanding the built environment. This rule can help you quickly create 3D buildings using your existing 2D building footprint polygons. Create buildings for your whole city or specific areas of interest. Use the buildings for context surrounding higher-detail buildings or proposed future developments.Already have existing 3D buildings? Check out the Textured Buildings from Mass by Building Type rule.What you getA Rule Package file named Building_FromFootprint_Textured_ByLandUse.rpk Rule works with a polygon layerGet startedIn ArcGIS Pro Use this rule to create Procedural Symbols, which are 3D symbols drawn on 2D features Create 3D objects (Multipatch layer) for sharing on the webShare on the web via a Scene LayerIn CityEngine:CityEngine File Navigator HelpParametersBuilding Type: Eave_Height: Height from the ground to the eave, units controlled by the Units parameterFloor_Height: Height of each floor, units controlled by the Units parameterLand_Use: Use on the land and type of building, this helps in assigning appropriate building texturesRoof_Form: Style of the building roof (Gable, Hip, Flat, Green)Roof_Height: Height from the eave to the top of the roof, units controlled by the Units parameterDisplay:Color_Override: Setting this to True will allow you to define a specific color using the Override_Color parameter, and will disable photo-texturing.Override_Color: Allows you to specify a building color using the color palette. Note: you must change the Color_Override parameter from False to True for this parameter to take effect.Transparency: Sets the amount of transparency of the feature Units:Units: Controls the measurement units in the rule: Meters | FeetNote: You can hook up the rule parameters to attributes in your data by clicking on the database icon to the right of each rule parameter. The database icon will change to blue when the rule parameter is mapped to an attribute field. The rule will automatically connect when field names match rule parameter names. Use layer files to preserve rule configurations unique to your data.For those who want to know moreThis rule is part of a the 3D Rule Library available in the Living Atlas. Discover more 3D rules to help you perform your work.Learn more about ArcGIS Pro in the Getting to Know ArcGIS Pro lesson

  4. D

    Building Restoration Service Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Building Restoration Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/building-restoration-service-market
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    pptx, csv, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Building Restoration Service Market Outlook



    The global building restoration service market size was valued at approximately USD 27.8 billion in 2023 and is projected to reach around USD 45.3 billion by 2032, growing at a compound annual growth rate (CAGR) of 5.8% over the forecast period. The growth of this market can be attributed to the increasing necessity for maintaining the structural integrity and aesthetic appeal of buildings, driven by aging infrastructure and the rising awareness of sustainable construction practices.



    The aging infrastructure in many developed and developing countries is a significant growth factor for the building restoration service market. As buildings get older, the need for restoration services to maintain their structural integrity becomes more crucial. Structural degradation can pose safety risks, necessitating timely interventions to extend the lifespan of these buildings. Additionally, the surge in urbanization and the preference for preserving historical buildings rather than replacing them with new structures have bolstered the demand for restoration services. This approach not only conserves cultural heritage but also minimizes the environmental impact associated with demolition and new construction.



    Technological advancements in restoration techniques and materials have also played a pivotal role in the market's growth. Innovations such as non-invasive diagnostic tools, eco-friendly materials, and advanced repair methods have made restoration projects more efficient and effective. These developments have enabled service providers to offer high-quality restoration solutions that meet modern sustainability standards. Furthermore, government regulations and incentives promoting the restoration and preservation of buildings have encouraged property owners and developers to invest in restoration services, thereby driving market growth.



    Waterway Restoration has emerged as a crucial aspect of urban planning and environmental conservation, particularly in areas with significant historical and cultural landmarks. As cities expand and urbanization intensifies, the restoration of waterways becomes essential to maintain ecological balance and enhance the aesthetic appeal of urban landscapes. This process involves rehabilitating natural watercourses that have been altered or degraded due to human activities, restoring their natural flow and ecological functions. Waterway Restoration not only improves water quality and biodiversity but also provides recreational opportunities and enhances property values in surrounding areas. The integration of waterway restoration projects into urban development plans reflects a growing commitment to sustainable development and environmental stewardship, aligning with the broader goals of the building restoration service market.



    The increasing awareness of environmental sustainability has further propelled the demand for building restoration services. Property owners and developers are increasingly opting for restoration over new construction to reduce their carbon footprint. Restoring existing buildings is often more environmentally friendly than demolishing them and constructing new ones, as it conserves resources and reduces waste. This growing emphasis on sustainability has made building restoration services a preferred choice for many, thereby contributing to the market's expansion.



    Regionally, the building restoration service market exhibits varied growth patterns. North America and Europe are mature markets with a high concentration of aging infrastructure, driving significant demand for restoration services. In contrast, the Asia Pacific region is experiencing rapid urbanization and economic growth, leading to increased investments in building restoration to preserve historical sites and maintain urban infrastructure. Latin America and the Middle East & Africa are also witnessing a steady rise in restoration activities, supported by government initiatives and growing awareness of sustainable construction practices.



    Service Type Analysis



    The building restoration service market can be segmented based on service type into structural restoration, facade restoration, interior restoration, roofing restoration, and others. Structural restoration holds a significant share of the market due to the critical need for maintaining the safety and stability of buildings. This segment involves repairing and reinforcing structural components such as beams, columns, and founda

  5. D

    Graphite Lightweight Building Panel Market Report | Global Forecast From...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 12, 2024
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    Dataintelo (2024). Graphite Lightweight Building Panel Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-graphite-lightweight-building-panel-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Sep 12, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Graphite Lightweight Building Panel Market Outlook



    The global graphite lightweight building panel market size was valued at approximately USD 1.8 billion in 2023 and is projected to reach around USD 3.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.5% during the forecast period. The growth of this market can be attributed to the increasing demand for energy-efficient building materials and the rapid urbanization in emerging economies.



    One of the main growth factors for the graphite lightweight building panel market is the rising awareness about the benefits of energy-efficient construction materials. These panels are known for their excellent thermal insulation properties, which make them ideal for reducing energy consumption in buildings. The global emphasis on reducing carbon footprints and achieving sustainability goals is driving the adoption of such advanced materials, thereby fueling market growth. Additionally, the construction sector is increasingly leaning towards lightweight materials to simplify logistics and reduce structural load, further supplementing the demand for graphite panels.



    Technological advancements in manufacturing processes are another significant growth driver. Innovations in production techniques have enabled the creation of more durable and adaptable graphite panels. Enhanced fire resistance and improved insulation properties are examples of recent advancements that have widened the scope of application for these panels. As manufacturers continue to invest in research and development, the market is expected to benefit from the introduction of even more efficient and cost-effective solutions.



    The increasing rate of urbanization, particularly in Asia Pacific and Latin America, is also a crucial factor propelling the market forward. As more people migrate to urban areas, the demand for residential and commercial buildings rises, necessitating the use of efficient and sustainable construction materials. The ability of graphite lightweight building panels to meet these demands makes them an attractive choice for architects and builders. Emerging economies are thus expected to be key drivers of market growth during the forecast period.



    Furthermore, the regional outlook for graphite lightweight building panels indicates that markets in Asia Pacific and North America are likely to experience significant growth. The Asia Pacific region is expected to dominate the market due to rapid urbanization, economic development, and favorable government policies promoting energy-efficient buildings. Meanwhile, in North America, stringent building codes and a growing focus on green construction practices are likely to drive market expansion. Europe is also expected to see considerable growth due to its established construction industry and increasing investments in sustainable infrastructure.



    Product Type Analysis



    The graphite lightweight building panel market by product type is segmented into Standard Panels, Insulated Panels, and Fire-Resistant Panels. Each of these segments brings unique attributes to the table, catering to different requirements in construction and renovation projects. Standard panels are generally used for basic construction needs and are significantly easier to handle and install compared to traditional building materials. They offer decent insulation properties and are cost-effective, making them a popular choice for various applications.



    Insulated panels, on the other hand, take the benefits of standard panels a step further by providing superior thermal insulation. These panels are particularly useful in regions with extreme weather conditions, helping to maintain a consistent indoor temperature and reduce energy costs. The demand for insulated panels is expected to grow rapidly, driven by increasing awareness about energy efficiency and the rising cost of energy. As governments around the world implement stricter building codes focusing on energy conservation, insulated panels are likely to gain more traction in the market.



    Fire-resistant panels are another critical segment that is growing in importance. With increasing concerns about fire safety in both residential and commercial buildings, the demand for fire-resistant construction materials is on the rise. These panels are designed to withstand high temperatures and prevent the spread of fire, thereby enhancing the safety of buildings. Innovations in materials science are continually improving the fire-resistant properties of these panels, making them a vital component of modern construction practices.

  6. Alpine County Land Use Survey 2013

    • data.cnra.ca.gov
    Updated Aug 31, 2021
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    California Department of Water Resources (2021). Alpine County Land Use Survey 2013 [Dataset]. https://data.cnra.ca.gov/dataset/alpine-county-land-use-survey-2013
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    zip, csv, geojson, kml, html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Aug 31, 2021
    Dataset provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    Area covered
    Alpine County
    Description

    This map is designated as Final.

    Land-Use Data Quality Control

    Every published digital survey is designated as either ‘Final’, or ‘Provisional’, depending upon its status in a peer review process.

    Final surveys are peer reviewed with extensive quality control methods to confirm that field attributes reflect the most detailed and specific land-use classification available, following the standard DWR Land Use Legendspecific to the survey year. Data sets are considered ‘final’ following the reconciliation of peer review comments and confirmation by the originating Regional Office. During final review, individual polygons are evaluated using a combination of aerial photointerpretation, satellite image multi-spectral data and time series analysis, comparison with other sources of land use data, and general knowledge of land use patterns at the local level.

    Provisional data sets have been reviewed for conformance with DWR’s published data record format, and for general agreement with other sources of land use trends. Comments based on peer review findings may not be reconciled, and no significant edits or changes are made to the original survey data.

    The 2013 Alpine County land use survey data was developed by the State of California, Department of Water Resources (DWR) through its Division of Integrated Regional Water Management (DIRWM) and Division of Statewide Integrated Water Management (DSIWM). Land use boundaries were digitized and land use data were gathered by staff of DWR’s North Central Region using extensive field visits and aerial photography. The land uses that were mapped were detailed agricultural land uses, and lesser detailed urban and native vegetation land uses. The land use data went through standard quality control procedures before final processing. Quality control procedures were performed jointly by staff at DWR’s DSIWM headquarters, under the leadership of Jean Woods, and North Central Region, under the supervision of Kim Rosmaier. This data was developed to aid DWR’s ongoing efforts to monitor land use for the main purpose of determining current and projected water uses. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standards version 2.1, dated March 9, 2016. DWR makes no warranties or guarantees - either expressed or implied - as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov.

    This data represents a land use survey of Alpine County conducted by the California Department of Water Resources, North Central Regional Office staff. Land use field boundaries were digitized with ArcGIS 10.0 and 10.2 using 2012 U.S.D.A National Agriculture Imagery Program (NAIP) one-meter imagery as the base. Agricultural fields were delineated by following actual field boundaries instead of using the centerlines of roads to represent the field borders. Field boundaries were reviewed and updated using 2013 Landsat 8 imagery. Field boundaries were not drawn to represent legal parcel (ownership) boundaries, and are not meant to be used as parcel boundaries. The field work for this survey was conducted during September 2013. Images, land use boundaries and ESRI ArcMap software were loaded onto laptop computers that were used as the field data collection tools. Staff took these laptops into the field and virtually all agricultural fields were visited to identify the land use. Global positioning System (GPS) units connected to the laptops were used to confirm the surveyor's location with respect to the fields. Land use codes were digitized in the field using dropdown selections from defined domains. Upon completion of the survey, a Python script was used to convert the data table into the standard land use format. ArcGIS geoprocessing tools and topology rules were used to locate errors for quality control. The primary focus of this land use survey is mapping agricultural fields. Urban residences and other urban areas were delineated using aerial photo interpretation. Some urban areas may have been missed, especially in forested areas. Rural residential land use was delineated by drawing polygons to surround houses and other buildings along with some of the surrounding land. These footprint areas do not represent the entire footprint of urban land. Sources of irrigation water were identified for general areas and occasionally supplemented by information obtained from landowners. Water source information was not collected for each field in the survey, so the water source listed for a specific agricultural field may not be accurate. After quality control procedures were completed, the data was finalized. The positional accuracy of the digital line work, which is based upon the orthorectified NAIP imagery, is approximately 6 meters. The land use attribute accuracy for agricultural fields is high, because almost every delineated field was visited by a surveyor. The accuracy is 95 percent because some errors may have occurred. Possible sources of attribute errors are: a) Human error in the identification of crop types, b) Data entry errors.

  7. D

    Property Maintenance System Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Property Maintenance System Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/property-maintenance-system-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Property Maintenance System Market Outlook



    As of 2023, the global market size for Property Maintenance Systems has been valued at approximately $4.5 billion, and it is projected to reach around $10.2 billion by 2032, growing at an impressive compound annual growth rate (CAGR) of 9.5% during the forecast period. This considerable growth is driven by several factors, including the increasing necessity for efficient property management, technological advancements, and the escalating awareness of the benefits of maintenance systems in enhancing property value and reducing operational costs.



    One of the primary growth factors of the Property Maintenance System market is the rising demand for automation in property management. With advancements in technology, property owners and managers are increasingly adopting software solutions to streamline their operations, reduce human errors, and enhance efficiency. Automated systems help in scheduling routine maintenance, tracking work orders, and predicting potential issues before they escalate, thus ensuring the longevity and optimal performance of property assets. This trend is particularly pronounced in the commercial and industrial sectors, where large-scale operations necessitate efficient management systems.



    Another significant factor contributing to market growth is the increasing focus on sustainability and energy efficiency. Modern property maintenance systems are designed to monitor and manage energy consumption, thereby helping property owners reduce their carbon footprint and operational costs. These systems provide real-time data and analytics, enabling proactive measures to optimize energy use. Additionally, governments and regulatory bodies worldwide are implementing stringent energy efficiency standards, which further propels the adoption of these systems across various sectors.



    Moreover, the growing emphasis on enhancing occupant safety and comfort is driving the demand for advanced property maintenance systems. In residential and commercial buildings, ensuring the safety and well-being of occupants is of paramount importance. Modern maintenance systems offer features like predictive maintenance, which helps in identifying and addressing potential safety hazards before they become critical. Furthermore, such systems contribute to maintaining a comfortable living and working environment by ensuring that all building systems, such as HVAC, lighting, and security, are functioning optimally.



    The integration of a Maintenance Management System is becoming increasingly vital in the property maintenance landscape. These systems provide a structured approach to managing maintenance activities, ensuring that all tasks are tracked, scheduled, and completed efficiently. By centralizing maintenance operations, property managers can gain better visibility into their maintenance workflows, identify bottlenecks, and optimize resource allocation. This not only enhances the overall efficiency of maintenance operations but also contributes to extending the lifespan of property assets. With the growing complexity of modern buildings, the need for a robust Maintenance Management System becomes even more pronounced, offering a comprehensive solution to manage both routine and emergency maintenance tasks effectively.



    From a regional perspective, North America is expected to dominate the Property Maintenance System market due to the high adoption rate of advanced technologies and the presence of key market players in the region. However, Asia Pacific is projected to witness the highest growth rate during the forecast period, driven by rapid urbanization, infrastructural development, and increasing investments in real estate. Europe follows closely, with significant developments in smart building technologies and stringent regulatory frameworks supporting market growth.



    Component Analysis



    The Property Maintenance System market is segmented by components into software and services. The software segment encompasses various types of property maintenance software that offer functionalities such as work order management, preventive maintenance scheduling, and asset tracking. These software solutions are increasingly being adopted due to their ability to streamline maintenance activities, reduce downtime, and enhance operational efficiency. Moreover, the integration of advanced technologies like AI and IoT in these software solutions further drives their adoption by providing predictive analytics and real-time moni

  8. e

    Land Use Land Cover High Resolution Map (5-m) for Côte-d’Or (21) - Dataset -...

    • b2find.eudat.eu
    Updated Oct 12, 2024
    + more versions
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    (2024). Land Use Land Cover High Resolution Map (5-m) for Côte-d’Or (21) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/2fce2a43-5d43-5f23-9eaf-acb29946e244
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    Dataset updated
    Oct 12, 2024
    Description

    The LULC HRL Map is produced from a combination of multi-sources data: the French national topographic database; the Land Parcel Identification System (LPIS) database; and Corine Land Cover. The LULC HRL classification contains 11 land cover categories: 11 Industrial or Commercial buildings and other Facilities 12 Agricultural buildings 13 Low-rise Residential or Mixed buildings 14 High-rise Residential or Mixed buildings 2 Fields 3 Meadows/Grassy plots 4 Bushes/Shrubs 5 Trees/Forest 6 Vineyards 7 Water bodies 8 Others artificial surfaces The LULC HRL Map is produced from a combination of multi-sources data: the French national topographic database (Institut national de l’information géographique et forestière, the French national geographic institute); the Land Parcel Identification System (LPIS) database (Agency for Services and Payment, French public institution responsible for the implementation of national and European public policies; Integrated Administration and Control System, European Union); and Corine Land Cover (European Environment Agency, Joint Research Center, European Union). The topographic database contains a land cover description employed for topographic map production at a scale of 1:25 000, with a minimum unit of collection of approximately 8 ha. The information is relatively precise on the contours of urban areas (buildings), road and rail infrastructures, hydrography, and trees and shrubs; however, it does not make it possible to distinguish the land uses within the agricultural, forested, or natural areas. The LPIS database, which draws on the digital cadastral database (1:500–1:5000), allows us to identify those agricultural areas for which subsidies are sought under the European Common Agricultural Policy (CAP). It was used to determine the agricultural land-use (grass-like vegetation and arable land) on the scale of cadastral parcels. Corine Land Cover (CLC) is thematically much richer, in particular in agri- cultural areas, but its spatial resolution, which is rather coarse (approximately 1:100 000), means it cannot identify the nature of a polygon of less than 25 ha. Despite its rather coarse resolution, CLC has a thematically richer land-use nomenclature than can be used to refine plant cover. The land-cover information layer was constructed in two steps. The first was to generate a simplified geometry of land use in vector form (polygons and lines). The operation begins by detecting the “polygonal skeleton” that integrates roads, railways, and the hydrographic network attributing to them a footprint proportional to their width. Next are added (1) agricultural surface features from the LPIS (field, meadow, orchard, other agriculture use); (2) plant-covered areas, mostly forest and orchard; and (3) artificialized surfaces (buildings, quarries, parking areas, etc.). Each addition is made by masking and expansion so as to approximate the “polygonal skeleton”. The features not described in the topographic database and the LPIS are categorized as “unidentified polygons”. Some of this class is marked down as grassland-lawn using CLC classes “321” (Natural grasslands) and “231” (Pastures). Processing is done with the PostGIS functionalities: intersection, union, dilation, erosion, etc. of polygons or lines (PostGIS, 2018). This stage enables eight land-use categories to be defined: (1) urban footprints, (2) fields, (3) meadows, (4) forests, (5) orchards, (6) rivers and water bodies, (7) road and rail infrastructure footprints, (8) unidentified polygons. This first vectorial geometric model is changed into a 5m resolution raster layer and then supplemented to produce a land-use layer com- patible with the landscape analysis contemplated. Categories (4), (6) and (7) describing relatively homogeneous and straightforward landscape features were kept unchanged. The improvement described below was primarily for heterogeneous and complex landscape features (categories (1), (2), (3) and (5)) that are replaced by simple landscape objects (buildings, mineral surfaces, copses, fields, grass-covered areas, etc.). The improvement also covers pixels in category (8). Pixels of the urban footprint (1) are differentiated into three types of landscape items: the built area, parking areas, and urban plant cover. The built area is incrusted by distinguishing its height and function: (11, LRM) Low-rise Residential or Mixed buildings (< 12m∼1–2 storeys); (12, HRM) High-rise Residential or Mixed buildings (≥12m∼3 storeys and more); (13, ICF) Industrial or Commercial buildings and other Facilities; (14) agricultural buildings. Parking areas were also created around some buildings and classified as category (7): a 5m (1 pixel) buffer around HRM polygons and ICF polygons between 50 and 999m2; a 25m buffer for ICF polygons of 1000m2 (5 pixels) and more. The buffer sizes were established from existing planning and building codes. Non-built and non-parking areas in the urban footprint are converted into plant cover in the following proportions: grass 50% of pixels; Trees 25%; shrubs and bushes 25%. These proportions are based on the visual identification and quantification of green areas/ expanses in built the environment using orthophoto images. This is done by first converting non-built and non-parking areas into grass pixels and then drawing tree pixels and shrub and bush pixels at random. For the field (2) and meadow (3) categories identified with tree cover (presence of trees in CLC), 10% of randomly drawn pixels are converted into trees. The pixels classified as orchards (5) and that are within a polygon classified as vineyard (221) in CLC are reclassified as vineyard. The remaining pixels are first converted into grass and then into shrubs and bushes by randomly drawing 70% of the pixels. Pixels in category (8), “unidentified polygons”, are reclassified by comparison with the CLC polygons.

  9. D

    Hollow Clay Bricks Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Hollow Clay Bricks Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-hollow-clay-bricks-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Hollow Clay Bricks Market Outlook



    The global hollow clay bricks market size was valued at approximately $5.8 billion in 2023, and it is projected to reach around $9.2 billion by 2032, growing at a CAGR of 5.2% during the forecast period. Key growth factors for this market include rising urbanization, increasing demand for energy-efficient building materials, and the expanding construction industry in emerging economies.



    One of the primary growth drivers of the hollow clay bricks market is the accelerating pace of urbanization. As more people move to cities, the need for residential and commercial buildings increases, which in turn fuels demand for construction materials like hollow clay bricks. These bricks are particularly favored for their thermal insulation properties, which help in reducing the overall energy consumption of buildings. This is increasingly significant in the context of stringent energy regulations and the growing emphasis on sustainable construction practices.



    The rising awareness about the environmental benefits of using hollow clay bricks is another significant factor contributing to market growth. Unlike concrete or other synthetic materials, clay bricks can be easily recycled and have a smaller carbon footprint. They also offer better breathability and moisture regulation, which enhances indoor air quality. This has made them a popular choice among environmentally conscious builders and architects who are looking to minimize the ecological impact of their projects.



    The increasing investments in infrastructure development, especially in emerging economies, are also playing a pivotal role in the expansion of the hollow clay bricks market. Countries in Asia-Pacific, Latin America, and parts of Africa are experiencing rapid growth in infrastructure projects, including roads, bridges, and public buildings. These projects often require large quantities of durable and cost-effective building materials, making hollow clay bricks an attractive option due to their strength and affordability.



    Bricks have been a fundamental component of construction for centuries, offering durability and versatility in a wide range of building projects. The evolution of bricks, particularly hollow clay bricks, has been driven by the need for more sustainable and energy-efficient materials. These bricks not only provide structural integrity but also contribute to energy conservation by enhancing thermal insulation. As the construction industry increasingly prioritizes environmental sustainability, the role of bricks, especially those made from clay, becomes even more critical. Their ability to be recycled and their lower carbon footprint make them an ideal choice for modern building practices aimed at reducing environmental impact.



    Regionally, the Asia-Pacific market is expected to witness the most significant growth, driven by countries like China and India. The North American and European markets are also anticipated to grow steadily due to the refurbishment and renovation activities in these regions. In contrast, the Middle East & Africa and Latin America are emerging markets with high growth potential, driven by increasing construction activities and favorable government policies encouraging the use of sustainable building materials.



    Product Type Analysis



    The hollow clay bricks market can be segmented by product type into perforated hollow clay bricks, cellular hollow clay bricks, and others. Perforated hollow clay bricks are widely used due to their structural integrity and ease of installation. These bricks are often preferred in both residential and commercial construction projects because they offer improved thermal insulation and acoustic properties. The perforations reduce the overall weight of the bricks, making them easier to handle and install, which in turn reduces construction time and labor costs.



    Cellular hollow clay bricks, on the other hand, are increasingly gaining traction due to their superior insulation properties. These bricks have a cellular structure that traps air, providing excellent thermal and sound insulation. This makes them particularly suitable for projects that require high energy efficiency and noise reduction. The growing emphasis on sustainable construction practices is further driving the demand for cellular hollow clay bricks, as they contribute to significant energy savings over the lifecycle of a building.



    Other types of hollow clay brick

  10. D

    Building Sandwich Panels Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Building Sandwich Panels Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/building-sandwich-panels-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Building Sandwich Panels Market Outlook



    The global building sandwich panels market size was valued at approximately USD 10 billion in 2023 and is projected to reach around USD 18 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.5% during the forecast period. The market growth is primarily driven by the increasing demand for energy-efficient building solutions and the rising construction activities across various regions.



    The growth of the building sandwich panels market is fueled by several factors. One of the primary drivers is the increasing emphasis on green building solutions and energy efficiency. As governments and organizations strive to reduce carbon footprints and adhere to stringent building codes, the demand for sandwich panels, known for their superior insulation properties, has surged. These panels not only provide thermal insulation but also offer benefits such as fire resistance and sound insulation, making them a preferred choice in modern construction.



    Another significant growth factor is the rapid urbanization and industrialization in emerging economies. Countries in Asia Pacific and Latin America are witnessing a construction boom, driven by increasing population, rising disposable incomes, and infrastructural development. The need for quick and cost-effective building solutions in these regions has led to a heightened demand for sandwich panels, which are easy to install and require less labor compared to traditional building materials.



    The technological advancements in materials and manufacturing processes also play a crucial role in market expansion. Innovations such as the development of lightweight and high-strength materials have enhanced the performance characteristics of sandwich panels. Additionally, automated manufacturing processes have improved production efficiency and scalability, making high-quality sandwich panels more accessible and affordable for a broad range of applications.



    From a regional perspective, Europe holds a significant share of the building sandwich panels market due to the stringent energy efficiency regulations and the widespread adoption of sustainable building practices. North America is also a key market, driven by the growing demand for commercial and residential buildings with superior insulation properties. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate, attributed to the booming construction sector in countries like China and India.



    Building Construction Sheets play a crucial role in the modern construction industry, providing essential support and structure to various building components. These sheets are often used in conjunction with sandwich panels to enhance the overall strength and durability of a building. They serve as a foundational element, ensuring that the panels are securely attached and can withstand various environmental stresses. The integration of building construction sheets with sandwich panels not only improves the structural integrity of buildings but also contributes to their energy efficiency and sustainability. As the demand for innovative and efficient building solutions continues to rise, the use of building construction sheets is expected to grow, further driving the market for sandwich panels.



    Core Material Analysis



    The core material used in building sandwich panels significantly impacts their performance characteristics and application suitability. Polyurethane, polystyrene, mineral wool, and others constitute the primary core materials used in these panels. Each of these materials offers distinct advantages and caters to different market needs.



    Polyurethane (PUR) cores are widely used due to their excellent thermal insulation properties, lightweight nature, and structural strength. Sandwich panels with polyurethane cores are commonly employed in applications requiring high energy efficiency, such as cold storage buildings and refrigeration units. The demand for PUR core panels is driven by their ability to provide long-term energy savings and compliance with stringent thermal performance standards.



    Polystyrene cores, including expanded polystyrene (EPS) and extruded polystyrene (XPS), are known for their cost-effectiveness and adequate insulation properties. Polystyrene core panels are preferred in budget-sensitive projects where moderate insulation performance is acceptable. They are widely used in residential an

  11. A

    Tulare County Land Use Survey 2007

    • data.amerigeoss.org
    Updated Nov 19, 2021
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    United States (2021). Tulare County Land Use Survey 2007 [Dataset]. https://data.amerigeoss.org/it/dataset/tulare-county-land-use-survey-2007
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    arcgis geoservices rest api, csv, html, kml, geojson, zipAvailable download formats
    Dataset updated
    Nov 19, 2021
    Dataset provided by
    United States
    Area covered
    Tulare County
    Description

    This map is designated as Final.

    Land-Use Data Quality Control

    Every published digital survey is designated as either ‘Final’, or ‘Provisional’, depending upon its status in a peer review process.

    Final surveys are peer reviewed with extensive quality control methods to confirm that field attributes reflect the most detailed and specific land-use classification available, following the standard DWR Land Use Legendspecific to the survey year. Data sets are considered ‘final’ following the reconciliation of peer review comments and confirmation by the originating Regional Office. During final review, individual polygons are evaluated using a combination of aerial photointerpretation, satellite image multi-spectral data and time series analysis, comparison with other sources of land use data, and general knowledge of land use patterns at the local level.

    Provisionaldata sets have been reviewed for conformance with DWR’s published data record format, and for general agreement with other sources of land use trends. Comments based on peer review findings may not be reconciled, and no significant edits or changes are made to the original survey data.

    The 2007 Tulare County land use survey data was developed by the State of California, Department of Water Resources (DWR) through its Division of Integrated Regional Water Management (DIRWM) and Division of Statewide Integrated Water Management (DSIWM), Water Use Efficiency Branch (WUE). Digitized land use boundaries and associated attributes were gathered by staff from DWR’s South Central Region (SCRO), using extensive field visits and aerial photography. Land use polygons in agricultural areas were mapped in greater detail than areas of urban or native vegetation. Prior to the summer field survey by SCRO, WUE staff analyzed Landsat 5 imagery to identify fields likely to have winter crops. The combined land use data went through standard quality control procedures before final processing. Quality control procedures were performed jointly by staff at DWR’s WUE Land Use Unit and SCRO. This data was developed to aid DWR’s ongoing efforts to monitor land use for the main purpose of determining current and projected water uses. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standards version 2.1, dated March 9, 2016. DWR makes no warranties or guarantees - either expressed or implied - as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov. This data represents a land use survey of western Madera County conducted by DWR, South Central Regional Office staff, under the leadership of Steve Ewert, Senior Land and Water Use Supervisor. The field work for this survey was conducted during the summer of 2011. SCRO staff physically visited each delineated field, noting the crops grown at each location. Land use field boundaries were digitized using 2006 National Agriculture Imagery Program (NAIP) imagery as the base reference. Roads and waterways were delineated from a countywide shapefile using the U.S. Census Bureau's TIGER® (Topologically Integrated Geographic Encoding and Referencing) database and then clipped to match the USGS quadrangle boundaries. Digitized field boundaries were created on a quadrangle by quadrangle basis. Digitizing was completed at 1:4000 scale for the entire survey area. Field boundaries were delineated to depict observable areas of the same (homogeneous) land use type. Field boundaries do not represent legal parcel (ownership) boundaries, and are not meant to be used as formal parcel boundaries. Field work for DWR land use surveys typically occur during the summer and early fall agricultural seasons, so it can be difficult to identify fields where winter crops have been produced earlier during the survey year. To improve the mapping of winter crops, Landsat 5 imagery was analyzed to identify fields with high vegetative cover in late winter/early spring. Visual inspection of the Landsat scene displayed in false color infrared was used to select fields with both high and low vegetative cover as training data sets. These fields were used to develop spectral signatures using ERDAS Imagine and eCognition Developer software. The Landsat image was classified using a maximum likelihood supervised classification to label each pixel as vegetated or not vegetated. Then, the zonal attributes of polygons representing agricultural fields were summarized to identify fields vegetated during the winter. Polygons representing potential winter crops were used as an additional reference during field visits, and closely checked for winter crop residue. Site visits occurred from July through October 2007. Images and land use boundaries were loaded onto laptop computers that, in most cases, were used as the field data collection tools. GPS units connected to the laptops were used to confirm the surveyor's location with respect to each field. Some staff took printed copies of aerial photos into the field and wrote directly onto these photo field sheets. The data from the photo field sheets were digitized and entered back in the office. Land use codes associated with each polygon were entered in the field on laptop computers using ESRI ArcGIS software, version 9.3. Virtually all delineated fields were visited to positively observe and identify the land use type. The primary focus of this land use survey is mapping agricultural fields. Urban residences and other urban areas were delineated using aerial photo interpretation. Some urban areas may have been missed, especially in forested areas. Rural residential land use was delineated by drawing polygons to surround houses and other buildings along with some of the surrounding land. These footprint areas do not represent the entire footprint of urban land. Sources of irrigation water were identified for general areas and occasionally supplemented by information obtained from landowners. Water source information was not collected for each field in the survey, so the water source listed for a specific agricultural field may not be accurate. Before final processing, standard quality control procedures were performed jointly by staff at DWR's South Central Region, and at DSIWM headquarters under the leadership of Jean Woods, Senior Land and Water Use Supervisor. After quality control procedures were completed, the data was finalized. The positional accuracy of the digital line work, which is based upon the orthorectified NAIP imagery, is approximately 6 meters. The land use attribute accuracy for agricultural fields is high, because almost every delineated field was visited by a surveyor. The accuracy is 95 percent because some errors may have occurred. Possible sources of attribute errors are: a) Human error in the identification of crop types, b) Data entry errors.

  12. Glacier National Park - Administration/Boundaries - Wilderness

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Jun 16, 2016
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    US National Park Service (2016). Glacier National Park - Administration/Boundaries - Wilderness [Dataset]. https://koordinates.com/layer/13730-glacier-national-park-administration-boundaries-wilderness/
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    mapinfo tab, csv, mapinfo mif, shapefile, kml, geodatabase, pdf, geopackage / sqlite, dwgAvailable download formats
    Dataset updated
    Jun 16, 2016
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Authors
    US National Park Service
    Area covered
    Description

    Areas managed as WILDERNESSwithin Glacier National Park. This mapping was compiled in 2014, implementing NPS Director's Order 41 (2013), which provides guidelines to NPS units for delineating wilderness boundaries. The two main criteria provided by DO-41 are that boundaries 1) must be easily identifiable on the ground, and 2) standard boundary setbacks from roads, paved or unpaved, should be 100-feet either side of centerline. Included in this mapping are areas EXCLUDED from wilderness, which generally fall within 100-feet of road centerline or are part of the park's Visitor Service Zone (GMP, 1999). Additional areas categorized as 'Excluded from wilderness' include lands designated as part of the Visitor Service Zone (VSZ), documented in the GLAC Commercial Serices Plan (2004). Developed area footprints were mapped and then buffered 300-feet. Utility corridors and point locations were mapped and buffered 25-feet. Also, large lakes with existing commercial services were included in the VSZ and thus were categorized as Excluded.POTENTIAL WILDERNESS AREAS (PWA) are the 3rd map class; these lands are currently in private ownership, providing access to private ownership, or are small fragmented areas (i.e. not easily identified on the ground and difficult to manage as wilderness due to size and surrounding land uses) between areas excluded from wilderness (e.g. utility corridors and lands between utility corridors and other excluded areas).Chronology of edits:Begin edits 11/8/13 to implement DO-41. Update layer March 4, 2014 - create version 3 with the following edits - based on 3/3/14 meeting with GLAC Leadership Team (Kym Hall):1. Camas Cr patrol cabin, include 100-ft buffer of cabin + 100-ft buffer of roadway from Inside Rd.2. Bowman CG area: extend 'excluded' area from admin road to creek edge to accommodate admin road/trail (to bridge) not yet mapped. Also inlcude 100-ft buffered trail and 100-ft buffered buildings due east of bridge. 3. Kintla CG - same changes as Bowman, using standard 100-ft buffer of road/cabins4. Belly River enclave is added to the data set.-----------Update layer January 24, 2014 with these edits:1. Add Marias Pass 'excluded' area; 100-ft buffer of RR turnaround.2. Extend HQ area 'excluded' polygon to river /park bdy3. Create Dev Area footprints for Road Camp & Packer's Roost; buffer 300-ft and add to 'excluded'.----------Update layer January 13, 2014 with these edits:1. Bowman CG - add admin road missed, 2. Walton - remove exclusion area between road buffer and boundary, and 3. Swiftcurrent - include Swiftcurrent+Josephine Lakes as excluded, plus bump-out areas for boat storage and creek used to ferry supplies from Swift. Lake to Josephine Lake.---------Update layer April 15-18, 2014 with these additions/edits:1. Create developed area for Apgar Lookout; buffer 300-ft.2. Create developed area for 1913 Ranger Station (St Mary); buffer 300-ft.3. Add 2 monitoring wells in St Mary Flats (foot of lake south of GTSR); buffer 25-ft and connect to 'excluded area' polygon4. Add water source point for Many Glacier winter cabin (north of MG road near hotel jct; buffer 25-ft and add to 'excluded area' polygon5. Buffer McCarthy Homestead structures 100-ft and add to Excluded Area polygon for Inside North Fork Rd6. Buffer Ford Creek cabin structures 100-ft and add to Excluded Area polygon for Inside North Fork Rd7. Buffer Baring Crek cabin structures 100-ft and add to Excluded Area polygon Going to the Sun Rd8. Add to Excluded Area a strip of land 60-ft south of the International Boundary (per 1974 Wilderness proposal & MOU with GLAC and Int'l Boundary Comm).---------Updated layer 5/27/2014 - add approx. 2 acres to 'Excluded fro mWilderness' near the St Mary River bridge along GTSR. This sliver of land was included to utilize the river bank as a visible and distinguishable boundary in the field.

    © NPS, Glacier NP GIS Program

    This layer is a component of Glacier National Park.

    This map service provides layers covering a variety of different datasets and themes for Glacier National Park. It is meant to be consumed by internet mapping applications and for general reference. It is for internal NPS use only. Produced November 2014.

    © Denver Service Center Planning Division, IMR Geographic Resources Division, Glacier National Park

  13. A

    i15 LandUse Trinity2006

    • data.amerigeoss.org
    • hub.arcgis.com
    Updated Feb 16, 2022
    + more versions
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    United States (2022). i15 LandUse Trinity2006 [Dataset]. https://data.amerigeoss.org/tl/dataset/i15-landuse-trinity2006-1e35c
    Explore at:
    zip, csv, arcgis geoservices rest api, geojson, kml, htmlAvailable download formats
    Dataset updated
    Feb 16, 2022
    Dataset provided by
    United States
    Description

    This map is designated as Final.

    Land-Use Data Quality Control

    Every published digital survey is designated as either ‘Final’, or ‘Provisional’, depending upon its status in a peer review process.

    Final surveys are peer reviewed with extensive quality control methods to confirm that field attributes reflect the most detailed and specific land-use classification available, following the standard DWR Land Use Legendspecific to the survey year. Data sets are considered ‘final’ following the reconciliation of peer review comments and confirmation by the originating Regional Office. During final review, individual polygons are evaluated using a combination of aerial photointerpretation, satellite image multi-spectral data and time series analysis, comparison with other sources of land use data, and general knowledge of land use patterns at the local level.

    Provisionaldata sets have been reviewed for conformance with DWR’s published data record format, and for general agreement with other sources of land use trends. Comments based on peer review findings may not be reconciled, and no significant edits or changes are made to the original survey data.

    The 2006 Trinity County land use survey data was developed by the State of California, Department of Water Resources (DWR) through its Division of Integrated Regional Water Management (DIRWM) and Division of Statewide Integrated Water Management (DSIWM). Land use boundaries were digitized and land use data was gathered by staff of DWR’s Northern Region using extensive field visits and aerial photography. The land uses that were mapped were detailed agricultural land uses, and lesser detailed urban and native vegetation land uses. The land use data went through standard quality control procedures before final processing. Quality control procedures were performed jointly by staff at DWR’s DSIWM headquarters and Northern Region, under the supervision of Tito Cervantes, Senior Land and Water Use Scientist. This data was developed to aid DWR’s ongoing efforts to monitor land use for the main purpose of determining current and projected water uses. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standards version 2.1, dated March 9, 2016. DWR makes no warranties or guarantees - either expressed or implied - as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov. This data represents a land use survey of Trinity County conducted by the California Department of Water Resources, Northern Region Office staff. Data development: Trinity County was surveyed using the 2005 one-meter resolution National Agriculture Imagery Program (NAIP) digital aerial photos from the U.S. Department of Agriculture's Farm Services Agency as a base for line work. Digital 7.5’ quadrangle sized images were created from the 2005 NAIP imagery. In the spring of 2006, DWR's Northern Region staff digitized land use boundaries using AutoCAD Map software. The digital images and land use boundaries were copied onto laptop computers that were used as the field data collection tools. Staff visited all accessible fields to positively identify agricultural land uses. These site visits occurred between June and August 2006. Land use codes were digitized directly into the laptop computers in the field using AutoCAD Map (using a standardized digitizing process). Some staff took printed aerial photos into the field and wrote land use codes directly onto these photo field sheets. The data from the photo field sheets were digitized using AutoCAD Map back in the office. For both data gathering techniques, any land use boundary changes were noted and then corrected in the office. The primary focus of this land use survey is mapping agricultural fields. Urban residences and other urban areas were delineated using primarily aerial photo interpretation, so some urban areas may have been missed. In some rural residential areas, urban land use was delineated by drawing polygons to surround houses or other buildings along with a minimal area of land surrounding these structures. These footprint areas represent the locations of structures but do not represent the entire footprint of urban land. Sources of irrigation water were not mapped in this survey. The linework and attributes from each AutoCAD drawing file were brought into ArcInfo and both quadrangle and survey-wide coverages were created, and underwent quality checks. The coverages were converted to shapefiles using ArcView. After quality control procedures were completed on each file, the data was finalized. Before final processing, standard quality control procedures were performed jointly by staff at DWR's Northern District, and at DPLA headquarters under the leadership of Jean Woods, Senior Land and Water Use Supervisor. After quality control procedures were completed, the data was finalized. The positional accuracy of the digital line work, which is based upon the 2005 orthorectified NAIP imagery, is approximately 6 meters, but in some areas linework may be 10 meters from the actual location. The land use attribute accuracy for agricultural fields is high, because almost every delineated field was visited by a surveyor. The accuracy is 95 percent because some errors may have occurred. Possible sources of attribute errors are: a) Human error in the identification of crop types, b) Data entry errors.

  14. D

    AI-Enhanced Property Management Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jun 28, 2025
    + more versions
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    Dataintelo (2025). AI-Enhanced Property Management Market Research Report 2033 [Dataset]. https://dataintelo.com/report/ai-enhanced-property-management-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    AI-Enhanced Property Management Market Outlook



    According to our latest research, the global AI-Enhanced Property Management market size reached USD 2.38 billion in 2024. The industry is demonstrating impressive momentum, driven by the adoption of artificial intelligence across real estate operations. The market is forecasted to grow at a robust CAGR of 17.6% between 2025 and 2033, and is projected to achieve a value of USD 11.98 billion by 2033. This substantial growth is attributed to increasing automation in property management, rising demand for data-driven insights, and the integration of AI-powered solutions to enhance operational efficiency and tenant experiences.



    A key growth factor for the AI-Enhanced Property Management market is the mounting need for operational efficiency and cost optimization within the real estate sector. Property owners and managers are increasingly leveraging AI-driven platforms to automate routine tasks such as rent collection, maintenance scheduling, and tenant communications. These AI solutions not only streamline workflows but also minimize human error, reduce administrative costs, and free up valuable time for property managers to focus on strategic decision-making. The adoption of predictive analytics further empowers stakeholders to anticipate maintenance issues, optimize energy usage, and enhance asset longevity, thereby creating a compelling value proposition for AI integration in property management.



    Another significant driver of market expansion is the growing emphasis on personalized tenant experiences. AI-powered property management platforms utilize advanced algorithms and machine learning models to analyze tenant preferences, behavior patterns, and feedback. This enables property managers to tailor services such as smart home automation, customized amenities, and proactive maintenance, ultimately boosting tenant satisfaction and retention rates. Furthermore, AI-driven chatbots and virtual assistants are revolutionizing customer service by providing instant responses to tenant inquiries, facilitating seamless communication, and improving overall resident engagement. As the competition in the real estate sector intensifies, these differentiated experiences are becoming critical for property owners and managers to attract and retain tenants.



    The increasing digitization of real estate and the proliferation of Internet of Things (IoT) devices are further accelerating the adoption of AI-enhanced solutions. Smart sensors and connected devices generate vast amounts of data related to building operations, energy consumption, and occupancy patterns. AI algorithms process this data in real-time, delivering actionable insights that enable predictive maintenance, energy optimization, and security enhancements. The integration of AI with IoT not only drives operational efficiencies but also supports sustainability initiatives by reducing energy waste and carbon footprints. As regulatory pressures for sustainable building management intensify worldwide, AI-enhanced property management platforms are becoming indispensable tools for compliance and environmental stewardship.



    From a regional perspective, North America currently dominates the AI-Enhanced Property Management market, accounting for the largest share in 2024. This leadership is attributed to the early adoption of advanced technologies, a mature real estate sector, and significant investments in AI research and development. Europe follows closely, driven by stringent regulations around energy efficiency and smart building management. Meanwhile, the Asia Pacific region is emerging as the fastest-growing market, fueled by rapid urbanization, expanding real estate investments, and increasing digital transformation initiatives across developing economies. Latin America and the Middle East & Africa are also witnessing steady adoption, supported by growing awareness of AI benefits and rising investments in smart infrastructure.



    Component Analysis



    The AI-Enhanced Property Management market is segmented by component into Software and Services, each playing a pivotal role in the industry’s growth trajectory. The software segment comprises advanced platforms and applications that facilitate property management automation, predictive analytics, and tenant engagement. These software solutions are increasingly leveraging machine learning algorithms, natural language processing, and big data analytics to deliver real-time insights and automate complex w

  15. A

    Tuolumne County Land Use Survey 2013

    • data.amerigeoss.org
    Updated Nov 19, 2021
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    United States (2021). Tuolumne County Land Use Survey 2013 [Dataset]. https://data.amerigeoss.org/es/dataset/activity/tuolumne-county-land-use-survey-2013
    Explore at:
    kml, zip, html, geojson, arcgis geoservices rest api, csvAvailable download formats
    Dataset updated
    Nov 19, 2021
    Dataset provided by
    United States
    Area covered
    Condado de Tuolumne
    Description

    This map is designated as Final.

    Land-Use Data Quality Control

    Every published digital survey is designated as either ‘Final’, or ‘Provisional’, depending upon its status in a peer review process.

    Final surveys are peer reviewed with extensive quality control methods to confirm that field attributes reflect the most detailed and specific land-use classification available, following the standard DWR Land Use Legendspecific to the survey year. Data sets are considered ‘final’ following the reconciliation of peer review comments and confirmation by the originating Regional Office. During final review, individual polygons are evaluated using a combination of aerial photointerpretation, satellite image multi-spectral data and time series analysis, comparison with other sources of land use data, and general knowledge of land use patterns at the local level.

    Provisional data sets have been reviewed for conformance with DWR’s published data record format, and for general agreement with other sources of land use trends. Comments based on peer review findings may not be reconciled, and no significant edits or changes are made to the original survey data.

    The 2013 Tuolumne County land use survey data was developed by the State of California, Department of Water Resources (DWR) through its Division of Integrated Regional Water Management (DIRWM) and Division of Statewide Integrated Water Management (DSIWM). Land use boundaries were digitized and land use data were gathered by staff of DWR’s North Central Region using extensive field visits and aerial photography. Land use polygons in agricultural areas were mapped in greater detail than areas of urban or native vegetation. Quality control procedures were performed jointly by staff at DWR’s DSIWM headquarters, under the leadership of Jean Woods, and North Central Region, under the supervision of Kim Rosmaier. This data was developed to aid DWR’s ongoing efforts to monitor land use for the main purpose of determining current and projected water uses. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standards version 2.1, dated March 9, 2016. DWR makes no warranties or guarantees - either expressed or implied - as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov. This data represents a land use survey of Tuolumne County conducted by the California Department of Water Resources, North Central Regional Office staff. Land use field boundaries were digitized with ArcGIS 10.0 and 10.2 using 2012 U.S.D.A National Agriculture Imagery Program (NAIP) one-meter imagery as the base. Agricultural fields were delineated by following actual field boundaries instead of using the centerlines of roads to represent the field borders. Field boundaries were reviewed and updated using 2013 Landsat 8 imagery. Field boundaries were not drawn to represent legal parcel (ownership) boundaries, and are not meant to be used as parcel boundaries. The field work for this survey was conducted during June 2013. Images, land use boundaries and ESRI ArcMap software were loaded onto laptop computers that were used as the field data collection tools. Staff took these laptops into the field and virtually all agricultural fields were visited to identify the land use. Global positioning System (GPS) units connected to the laptops were used to confirm the surveyor's location with respect to the fields. Land use codes were digitized in the field using dropdown selections from defined domains. Upon completion of the survey, a Python script was used to convert the data table into the standard land use format. ArcGIS geoprocessing tools and topology rules were used to locate errors for quality control. The primary focus of this land use survey is mapping agricultural fields. Urban residences and other urban areas were delineated using aerial photo interpretation. Some urban areas may have been missed, especially in forested areas. Rural residential land use was delineated by drawing polygons to surround houses and other buildings along with some of the surrounding land. These footprint areas do not represent the entire footprint of urban land. Sources of irrigation water were identified for general areas and occasionally supplemented by information obtained from landowners. Water source information was not collected for each field in the survey, so the water source listed for a specific agricultural field may not be accurate. Before final processing, standard quality control procedures were performed jointly by staff at DWR’s North Central Region, and at DSIWM headquarters under the leadership of Jean Woods. Senior Land and Water Use Supervisor. After quality control procedures were completed, the data was finalized. The positional accuracy of the digital line work, which is based upon the orthorectified NAIP imagery, is approximately 6 meters. The land use attribute accuracy for agricultural fields is high, because almost every delineated field was visited by a surveyor. The accuracy is 95 percent because some errors may have occurred. Possible sources of attribute errors are: a) Human error in the identification of crop types, b) Data entry errors.

  16. D

    Exterior Glass Walls Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Exterior Glass Walls Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-exterior-glass-walls-market
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    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Exterior Glass Walls Market Outlook



    The global exterior glass walls market size is expected to reach USD 45.8 billion by 2032, growing from USD 23.5 billion in 2023, with a Compound Annual Growth Rate (CAGR) of 7.2% during the forecast period. The market is riding on the back of increasing urbanization, the rise in commercial infrastructure projects, and the growing demand for aesthetic and energy-efficient building solutions. These factors are driving the demand for exterior glass walls, making them an integral part of modern construction practices.



    One of the primary growth factors for the exterior glass walls market is the surge in urbanization and industrialization, especially in emerging economies. As more people migrate to urban areas, there is a significant need for residential and commercial buildings, which in turn propels the demand for exterior glass walls. Moreover, the evolution of architectural trends that favor sustainable and aesthetically pleasing building designs has pushed the adoption of glass walls in new constructions. These walls not only enhance the visual appeal but also provide functional benefits such as natural lighting and energy efficiency.



    The increasing focus on green building initiatives and sustainable construction practices is another pivotal growth driver. Governments and regulatory bodies around the world are implementing stringent energy-efficiency standards, encouraging the use of materials that contribute to lower carbon footprints. Exterior glass walls, with their superior insulation properties and capacity to harness natural light, align perfectly with these green building certifications and standards. This trend is particularly strong in regions like North America and Europe, where the emphasis on sustainability is a significant market influencer.



    Technological advancements in glass manufacturing and construction techniques are also boosting the market. Innovations such as smart glass—capable of adjusting its opacity based on light intensity and temperature—are gaining popularity. These advancements not only offer improved energy efficiency but also enhance the functionality and lifespan of exterior glass walls. The integration of smart technologies with glass walls is expected to unlock new opportunities in both residential and commercial sectors, further driving market growth.



    The concept of Fixed Glass Flood Wall is gaining traction as a vital component in the construction of resilient infrastructure, particularly in flood-prone areas. These walls are designed to provide a robust barrier against rising water levels, ensuring the safety and integrity of buildings. By integrating fixed glass flood walls into architectural designs, developers can achieve a balance between functionality and aesthetics. These walls not only offer protection but also maintain transparency, allowing natural light to permeate indoor spaces. As climate change continues to pose challenges, the demand for such innovative solutions is expected to rise, making them an essential consideration in future building projects.



    From a regional perspective, Asia Pacific is anticipated to witness the fastest growth during the forecast period, driven by rapid urbanization, economic growth, and large-scale infrastructure projects. The region's burgeoning middle class and increasing investments in real estate development are creating a fertile ground for the exterior glass walls market. Furthermore, government initiatives focused on smart cities and sustainable development are expected to provide a considerable boost to the market in this region.



    Product Type Analysis



    The product type segment of the exterior glass walls market includes curtain walls, storefront systems, window walls, and others. Curtain walls are anticipated to hold the largest market share due to their widespread adoption in modern architectural designs. These walls are favored for their ability to span large building surfaces without compromising structural integrity. They also offer design flexibility, energy efficiency, and ease of installation, making them a preferred choice for high-rise buildings and commercial complexes. The growing trend of skyscrapers and high-rise buildings in urban centers is likely to further propel the demand for curtain walls.



    Storefront systems are another significant segment in the market. These systems are predominantly used in retail and commercial buildings to create aesthetically app

  17. D

    Rainscreen Facade System Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 5, 2024
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    Dataintelo (2024). Rainscreen Facade System Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/rainscreen-facade-system-market
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    csv, pdf, pptxAvailable download formats
    Dataset updated
    Oct 5, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Rainscreen Facade System Market Outlook



    The global market size for rainscreen facade systems was valued at approximately USD 11 billion in 2023, and it is projected to reach around USD 25 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.5%. This growth is spurred by increasing urbanization, rising awareness about energy efficiency, and the need for aesthetically pleasing yet durable building exteriors.



    One of the major growth factors for the rainscreen facade system market is the increasing focus on energy-efficient building designs. As countries around the world are becoming more conscious of their carbon footprints, the construction industry is seeking ways to incorporate sustainable practices. Rainscreen facade systems contribute significantly to energy efficiency by providing thermal insulation and reducing the need for artificial heating and cooling. This not only lowers energy bills but also helps in mitigating the environmental impact of buildings.



    Another growth driver is the surge in urbanization and infrastructure development. Emerging economies, especially in the Asia Pacific and Latin American regions, are witnessing rapid urban expansion. This is boosting demand for new construction, thereby driving the need for advanced facade systems that offer both functional and aesthetic benefits. Additionally, the renovation of existing structures to improve energy efficiency and modernize design is further propelling market growth. Government incentives and subsidies for green buildings are also playing a crucial role in this upward trend.



    The technological advancements in materials and installation techniques are also contributing to the market's growth. Innovations such as high-pressure laminates and composite materials are making rainscreen facades more versatile and durable. Smart building technologies that integrate sensors and automation for facade management are becoming increasingly popular, adding another layer of utility to these systems. With these advancements, stakeholders in the construction industry are more inclined to invest in high-quality facade solutions.



    From a regional perspective, North America and Europe are leading the market, driven by stringent building codes and high awareness about energy efficiency. However, the Asia Pacific region is expected to witness the highest growth rate due to rapid urbanization and governmental initiatives to promote sustainable construction practices. The Middle East & Africa and Latin America are also showing promising growth potentials, backed by increasing investments in infrastructure projects and growing adoption of modern building technologies.



    Material Type Analysis



    Metal rainscreen facades are one of the most popular choices in the market. Known for their durability, aesthetics, and versatility, metal facades are extensively used in both commercial and residential buildings. The ability to withstand extreme weather conditions and the ease of maintenance make metal an attractive option. Furthermore, metals such as aluminum and steel can be recycled, aligning with the growing trend of sustainable construction. The advancements in surface treatments and coatings have further enhanced the corrosion resistance and longevity of metal facades, making them a preferred material type.



    Composite materials are also gaining traction in the rainscreen facade system market. Comprising multiple layers of different materials bonded together, composite facades offer a balanced combination of strength and lightweight properties. These materials can mimic the appearance of natural elements like wood and stone, providing architects and designers with greater creative flexibility. Additionally, composites are resistant to weathering, UV radiation, and impact, which makes them suitable for a variety of climatic conditions.



    Ceramic facades are another significant segment, especially in regions where architectural aesthetics play a crucial role. Known for their excellent thermal insulation and fire-resistance properties, ceramic rainscreen facades are favored for high-end residential and commercial projects. The availability of various colors, textures, and finishes allows for unique and attractive building designs. Despite being more expensive, the long lifespan and low maintenance requirements of ceramic facades justify the investment.



    High-pressure laminates (HPL) are making their mark in the market due to their robustness and aesthetic appeal. These facades are constructed by pressing layers of kraft paper

  18. D

    Buildings Curved Glass Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Buildings Curved Glass Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/buildings-curved-glass-market
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    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Buildings Curved Glass Market Outlook



    In 2023, the global market size for buildings curved glass was valued at approximately USD 9.5 billion. Driven by factors such as increasing architectural innovations and the rising demand for aesthetically appealing building designs, the market is forecasted to reach USD 18.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.4% during the period. This robust growth can be attributed to several key factors, including advancements in glass manufacturing technologies, the push for sustainable and energy-efficient buildings, and the expanding urbanization globally.



    One of the primary growth factors in the buildings curved glass market is the rising trend of modern, innovative architecture. As urban landscapes evolve, architects and designers are increasingly incorporating curved glass elements into their projects to enhance aesthetic appeal and functionality. Curved glass not only offers a sleek, modern look but also allows for better light penetration and unique design possibilities. This trend is especially prevalent in high-end commercial and residential buildings, driving the demand for various types of curved glass products. The development of advanced production techniques has also made it possible to manufacture high-quality curved glass at a lower cost, further fueling market growth.



    The push for sustainable and energy-efficient building materials is another significant growth driver in the curved glass market. As governments and organizations around the globe become more focused on reducing carbon footprints and improving energy efficiency, the demand for advanced building materials like curved glass is increasing. Modern curved glass products often come with enhanced insulation properties and can be integrated with smart technologies to regulate indoor temperatures, contributing to energy savings. These benefits make curved glass a preferred choice for green building initiatives, thereby stimulating market growth.



    Urbanization and infrastructure development, particularly in emerging economies, are further propelling the curved glass market. Rapid urbanization leads to increased construction activities, both residential and commercial. Countries in the Asia Pacific and the Middle East, for example, are witnessing significant investments in infrastructure, which in turn boosts the demand for innovative building materials like curved glass. The expanded use of curved glass in public buildings, skyscrapers, and large commercial complexes contributes significantly to the marketÂ’s growth trajectory.



    Architectural Glass plays a pivotal role in the evolution of modern construction, particularly in the context of curved glass applications. This specialized glass type is not only integral to the aesthetic appeal of contemporary structures but also contributes significantly to their functionality. Architectural Glass is engineered to meet the demands of complex building designs, offering superior clarity, strength, and thermal performance. Its versatility allows architects to push the boundaries of design, creating structures that are both visually stunning and highly efficient. As the demand for innovative building solutions grows, the integration of Architectural Glass in curved glass projects is expected to increase, further driving market growth.



    From a regional perspective, North America and Europe hold substantial shares in the buildings curved glass market, driven by the presence of developed economies and advanced construction industries. However, Asia Pacific is anticipated to exhibit the highest growth rate over the forecast period. This is primarily due to rapid urbanization, increasing disposable incomes, and extensive infrastructure development projects in countries like China and India. Additionally, favorable government policies aimed at boosting the construction sector in these regions are expected to further propel the market.



    Product Type Analysis



    The buildings curved glass market is segmented by product type into annealed glass, heat-strengthened glass, fully tempered glass, laminated glass, and others. Annealed glass holds a significant share due to its relatively lower cost and ease of fabrication. This type of glass is widely used in applications where strength and safety are not primary concerns, such as in certain residential windows and decorative elements. However, it is more prone to breakage compared to other types, which limits its usage in high-stress environme

  19. D

    Residential Building Envelope Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 23, 2024
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    Dataintelo (2024). Residential Building Envelope Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-residential-building-envelope-market
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    csv, pptx, pdfAvailable download formats
    Dataset updated
    Sep 23, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Residential Building Envelope Market Outlook



    The global residential building envelope market size was valued at approximately USD 45 billion in 2023 and is expected to reach around USD 70 billion by 2032, growing at a CAGR of 5.2% during the forecast period. The market growth is driven by increasing awareness of energy efficiency, regulatory requirements, and the rising demand for sustainable construction practices.



    The residential building envelope market is burgeoning due to several key growth factors. Firstly, evolving regulatory frameworks across various regions, particularly in developed economies, are pushing for higher energy efficiency standards in residential buildings. Governments and regulatory bodies are increasingly mandating energy-efficient building codes and offering incentives for adopting green building materials, which directly impacts the demand for advanced building envelopes. Moreover, the global push towards reducing carbon footprints and achieving sustainability goals is prompting builders and homeowners to invest in building envelopes that offer superior insulation properties, reduced thermal bridging, and improved overall environmental performance.



    Secondly, technological advancements in building materials and construction techniques are significantly contributing to the market's expansion. Innovations such as smart glass, phase change materials, and high-performance insulation products are becoming more mainstream, offering enhanced energy efficiency and better durability. These advanced materials not only improve the thermal performance of buildings but also contribute to soundproofing and moisture control, making them highly sought after in modern residential construction. Additionally, the integration of Internet of Things (IoT) technologies in building envelopes, which allows real-time monitoring and optimization of energy consumption, is also playing a pivotal role in market growth.



    Thirdly, the growing consumer preference for aesthetic and functional home designs is fueling the demand for high-quality building envelope components. Homeowners are increasingly prioritizing not just the performance but also the appearance of their homes. This trend is driving the adoption of innovative materials and construction practices that enhance both the visual appeal and the functional characteristics of residential buildings. For instance, the use of modern glazing solutions and stylish roofing materials is becoming more popular, providing homes with a contemporary look while ensuring energy efficiency and structural integrity.



    Regionally, the Asia Pacific market is expected to witness significant growth due to rapid urbanization and an increasing number of residential construction projects in countries like China and India. The region's construction boom, coupled with rising disposable incomes and growing awareness of energy-efficient building practices, is propelling the demand for advanced building envelope solutions. In contrast, North America and Europe, with their stringent regulatory standards and well-established infrastructure, continue to be lucrative markets, emphasizing the importance of sustainability and energy efficiency in residential construction.



    Material Type Analysis



    The residential building envelope market is segmented by material type, including wood, metal, glass, plastic, and others. Wood has long been a traditional choice for building envelopes due to its aesthetic appeal, ease of use, and renewable nature. Wood is especially popular in single-family homes and certain regions where timber resources are abundant. However, the susceptibility to pests, moisture, and fire hazards remains a significant challenge, driving innovation towards treated and engineered wood products that offer better durability and performance.



    Metal materials, particularly aluminum and steel, are gaining traction due to their robustness, longevity, and recyclability. Metal envelopes provide excellent resistance to weather conditions and require minimal maintenance. They are increasingly being used in both roofing and wall applications, offering sleek, modern aesthetics alongside high structural integrity. The use of metal in building envelopes is expected to grow as construction practices evolve to prioritize both durability and sustainability.



    Glass is another critical material in the building envelope market, renowned for its ability to provide natural light and enhance the visual connection between indoor and outdoor spaces. Innovations in glass technology, such as double glazing, low-emis

  20. D

    Lightweight Construction Material Market Report | Global Forecast From 2025...

    • dataintelo.com
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    Updated Jan 7, 2025
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    Dataintelo (2025). Lightweight Construction Material Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-lightweight-construction-material-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Lightweight Construction Material Market Outlook



    The global lightweight construction material market size was valued at approximately USD 52.8 billion in 2023 and is projected to reach USD 89.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.1% from 2024 to 2032. This impressive growth is primarily driven by the increasing demand for sustainable and energy-efficient building solutions worldwide. As governments and organizations push for reduced carbon footprints, the shift towards lightweight construction materials is becoming more pronounced. These materials not only reduce the overall weight of structures, leading to cost savings in transportation and foundation costs, but also offer enhanced thermal and sound insulation properties, meeting the evolving standards of modern construction practices.



    One of the key growth factors in the lightweight construction materials market is the rising trend of urbanization and industrialization, particularly in emerging economies. As cities expand and the demand for residential and commercial spaces increases, there is a parallel demand for materials that can facilitate faster construction without compromising on strength and durability. Lightweight materials offer the advantage of quicker assembly and installation, which is crucial for keeping up with the rapid pace of urban development. Additionally, these materials contribute to creating energy-efficient buildings, aligning with global sustainability goals and reducing long-term operational costs.



    Furthermore, technological advancements in material science are significantly contributing to the growth of this market. Innovations in composite materials and the development of new alloys have expanded the applications of lightweight construction materials beyond traditional settings. For instance, the integration of nanomaterials and aerogels into construction materials has led to products with superior insulation properties and strength-to-weight ratios. Such advancements not only enhance the performance characteristics of these materials but also broaden their application scope, thus driving market growth. The increasing investment in R&D by manufacturing companies also indicates a promising future for new product developments in this sector.



    The construction industry's push towards sustainability and the increasing regulatory support for green buildings are also pivotal in propelling the lightweight construction material market. Governments around the globe are implementing stringent building codes and standards that encourage or mandate the use of environmentally friendly materials. These regulatory frameworks, coupled with tax incentives for green buildings, are encouraging the adoption of lightweight materials. As a result, construction companies are actively seeking such materials to not only comply with regulations but also to gain a competitive edge in the market, thereby further boosting the demand.



    Green Lightweight Aggregate is emerging as a pivotal component in the sustainable construction landscape. These aggregates are manufactured using environmentally friendly processes, often incorporating recycled materials, which significantly reduce the carbon footprint of construction projects. Their lightweight nature not only contributes to easier handling and transportation but also enhances the structural efficiency of buildings. By improving thermal insulation and reducing the load on foundations, Green Lightweight Aggregate supports the development of energy-efficient structures. As the construction industry increasingly prioritizes sustainability, the demand for such innovative materials is set to rise, aligning with global environmental goals and regulatory standards.



    Regionally, the market is witnessing varied growth patterns. The Asia Pacific region is leading the charge, driven by booming construction activities in countries such as China, India, and Southeast Asian nations. The rapid economic growth and the large-scale urbanization projects in these regions are major contributors. North America and Europe follow closely, with increasing renovations and retrofitting projects focused on energy efficiency. Meanwhile, the Middle East & Africa region is showing potential growth opportunities due to infrastructural developments backed by increasing investments. Latin America is gradually catching up with improvements in economic stability and construction sector recovery.



    Material Type Analysis



    The material

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Allegheny County (2020). Allegheny County Building Footprint Locations [Dataset]. https://data.wprdc.org/dataset/allegheny-county-building-footprint-locations

Allegheny County Building Footprint Locations

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5 scholarly articles cite this dataset (View in Google Scholar)
csv, zip(88665556), kml(667898226), geojson(433589441), htmlAvailable download formats
Dataset updated
Jun 18, 2020
Dataset provided by
Allegheny County DCS-GIS
Authors
Allegheny County
Area covered
Allegheny County
Description

This dataset contains photogrammetrically compiled roof outlines of buildings. All near orthogonal corners are square. Buildings that are less than 400 square feet are not captured. Special consideration is given to garages that are less than 400 square feet and will be digitized when greater than 200 square feet. Interim rooflines, such as dormers and party walls, as well as minor structures, such as carports, decks, patios, stairs, etc., and impermanent structures, such as sheds, are not shown. Large buildings which appear to house activities that are commercial or industrial in nature are shown as commercial/industrial. Structures that appear to be primarily residential in nature, including hotels and apartment buildings are shown as residential buildings. Structures which appear to be used or owned primarily by governmental, nonprofit, religious, or charitable organizations, or which serve a public function are shown as public buildings. Structures which are closely associated with a larger building, such as a garage, are shown as an out building. Structures which cannot be clearly defined as Industrial/Commercial; Residential; Public; or Out Buildings are flagged as such for later categorization. The classification of buildings is subject to the interpretation from the aerial photography and may not reflect the building’s actual use. Buildings that have an area less than the minimum required size for data capture will occasionally be present in the Geodatabase. Buildings are not removed after they have been digitized and determined to be less than the minimum required size.

Development Notes: Data meets or exceeds map accuracy standards in effect during the spring of 1992 and updated as a result of a flyover in the spring of 2004 and 2015. Original data was derived from aerial photography flown in the spring of 1992 for the eastern half of the County and the spring of 1993 for the western half of the County. Photography was produced at a scale of 1"=1500'. Mapping was stereo digitized at a scale of 1"=200'.

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