97 datasets found
  1. Modern Antique Map (WGS84)

    • hub.arcgis.com
    Updated May 29, 2019
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    Esri (2019). Modern Antique Map (WGS84) [Dataset]. https://hub.arcgis.com/maps/2b7b13d3f4a943b5879ffe9c7650e101
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    Dataset updated
    May 29, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The Modern Antique Map (WGS84) (World Edition) web map provides a world basemap symbolized with a unique antique styled map, with a modern flair -- including the benefit of multi-scale mapping. The comprehensive map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. This basemap, included in the ArcGIS Living Atlas of the World, uses the Modern Antique (WGS84) vector tile layer and World Hillshade (WGS84) raster tile layer.The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps WGS84 are updated quarterly.Check out other WGS84 basemaps in the World Basemaps (WGS84) group. Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the layers referenced in this map.Precise Tile Registration The map uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.

  2. GLOBALISE Early Modern Map Collection

    • zenodo.org
    zip
    Updated Oct 13, 2024
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    Leon van Wissen; Leon van Wissen (2024). GLOBALISE Early Modern Map Collection [Dataset]. http://doi.org/10.5281/zenodo.13926225
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    zipAvailable download formats
    Dataset updated
    Oct 13, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Leon van Wissen; Leon van Wissen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This repository is part of the GLOBALISE project, offering access to colonial-era map collections from the Dutch National Archive (and in future other heritage institutions). These collections include significant maps created during the 17th and 18th centuries, depicting regions under Dutch colonial influence. The repository provides scripts for preparing these maps for enrichment by creating IIIF Manifests and Collections, making them accessible for georeferencing, annotation, and further research in the GLOBALISE project and beyond. Additionally, the repository includes pilot projects for automated enrichments of the maps. These are work in progress.

  3. s

    High-resolution geological map dataset areas - Dataset - SARIG catalogue

    • pid.sarig.sa.gov.au
    Updated Mar 27, 2025
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    (2025). High-resolution geological map dataset areas - Dataset - SARIG catalogue [Dataset]. https://pid.sarig.sa.gov.au/dataset/mesac273
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    Dataset updated
    Mar 27, 2025
    Description

    Over the past 20 years a number of higher resolution map datasets - at scales of less than 1:50,000 - have been produced by the Geological Survey of South Australia as special purpose maps, or as part of modern mapping campaigns where data is... Over the past 20 years a number of higher resolution map datasets - at scales of less than 1:50,000 - have been produced by the Geological Survey of South Australia as special purpose maps, or as part of modern mapping campaigns where data is captured digitally in the field and subsequently up-scaled and merged into the 1:100,000 dataset. Datasets include the Musgrave Province, central and eastern Gawler Craton, Mount Painter, Curnamona Province, Adelaide Plains, Adelaide Rift Complex and the southeastern volcanic province. These high-resolution digital datasets are now available on request by contacting Customer Services: resources.customerservices@sa.gov.au or +61 8 8463 3000

  4. d

    Bedrock Geologic Map of Vermont - Geochronology Sample Locations

    • catalog.data.gov
    • geodata.vermont.gov
    • +5more
    Updated Dec 13, 2024
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    Vermont Geological Survey (2024). Bedrock Geologic Map of Vermont - Geochronology Sample Locations [Dataset]. https://catalog.data.gov/dataset/bedrock-geologic-map-of-vermont-geochronology-sample-locations-846dd
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    Dataset updated
    Dec 13, 2024
    Dataset provided by
    Vermont Geological Survey
    Area covered
    Vermont
    Description

    The 2011 Bedrock Geologic Map of Vermont (1:100,000 scale) was created to integrate detailed (1:12,000- to 1:24,000-scale) modern mapping with the theory of plate tectonics to provide a framework for geologic, tectonic, economic, hydrogeologic, and environmental characterization of the bedrock of Vermont. It supersedes the 1961 bedrock geologic map which was produced at a scale of 1:250,000 (Doll and others, 1961).Please see the metadata and readme files at the publication website:https://pubs.usgs.gov/sim/3184/

  5. U

    Modern monthly effective recharge maps for the conterminous U.S., 2003-2015

    • data.usgs.gov
    • datasets.ai
    • +3more
    Updated Feb 27, 2024
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    Meredith Reitz; Ward Sanford (2024). Modern monthly effective recharge maps for the conterminous U.S., 2003-2015 [Dataset]. http://doi.org/10.5066/P9NRVAQ5
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    Dataset updated
    Feb 27, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Meredith Reitz; Ward Sanford
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Oct 1, 2003 - Dec 31, 2015
    Area covered
    United States, Contiguous United States
    Description

    This data set includes 1 km resolution monthly timescale estimates of the effective recharge component of the water budget over the time period from October 2003 - December 2015. These estimates were developed as water budget residuals using previously published data sets for other water budget components: PRISM precipitation (Daly et al., 2004), SNODAS snow water equivalent (National Operational Hydrologic Remote Sensing Center, 2004), SSEBop-WB evapotranspiration (Reitz et al., 2017), a map of groundwater-sourced irrigation (Reitz et al., 2017), and monthly surface runoff maps (Reitz et al., 2019). The recharge data were estimated as the difference between water supply (precipitation plus snow melt plus irrigation) and the other water budget components (snow accumulation, surface runoff, and ET) for a given month. In locations / months where the SNODAS snow accumulation data indicated greater snow accumulation than PRISM precipitation for that month, the snow accumulation was ca ...

  6. d

    Data from: High-resolution geophysics in modern geological mapping

    • datadiscoverystudio.org
    pdf v.unknown
    Updated Jan 1, 1997
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    Wyborn, D.; Whitaker, A.J.; Wellman, P.; Jacques, A.L. (1997). High-resolution geophysics in modern geological mapping [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/fc87a4dcbad44253b66cad49aaa889e4/html
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    pdf v.unknownAvailable download formats
    Dataset updated
    Jan 1, 1997
    Authors
    Wyborn, D.; Whitaker, A.J.; Wellman, P.; Jacques, A.L.
    Description

    A modern geoscientific knowledge base developed through systematic mapping is a major component of sustainable development strategies, underpinning mineral resource assessment and exploration. High-resolution airborne magnetic and gamma-ray spectrometric surveys are fundamental to modern geoscientific mapping, providing cost-effective definition of structure and lithology in a diverse range of geological provinces and terrains. Magnetic (and gravity) data are particularly valuable in determining basement structure and continuity under cover. Gamma-ray spectrometric data provide geochemical (K, Th, U) maps that have proved valuable in mapping bedrock lithology and alteration, and for mapping regolith materials and activity, particularly in highly weathered (regolith-dominated) terrains. More than 3 million line kilometres of new high-resolution airborne geophysics have been acquired by the Australian Commonwealth, State and Northern Territory geological surveys, since the commencement of the National Geoscience Mapping Accord, in support of geological mapping in a wide range of provinces. These new data, coupled with other modern mapping technologies, notably geographic information systems, provide a means of rapid, cost-effective geoscientific mapping and analysis in a wide diversity of geological environments and terrains. New geological maps and other thematic maps based on these geophysical data enable better definition of mineral potential and contribute directly to more effective and efficient exploration. In all provinces, new high-resolution airborne magnetic and gamma-ray spectrometric data have resulted in better definition of both geological structure and lithological boundaries than indicated on previous maps. This paper shows, by examples, the usefulness of geophysical data over a wide range of mapping in support of the mineral industry.

  7. b

    Montana Wetland Framework

    • gallatinvalleyplan.bozeman.net
    • gallatin-valley-plan-bozeman.hub.arcgis.com
    Updated May 12, 2023
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    Bozeman GIS Community (2023). Montana Wetland Framework [Dataset]. https://gallatinvalleyplan.bozeman.net/datasets/bzn-community::montana-wetland-framework/explore?showTable=true
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    Dataset updated
    May 12, 2023
    Dataset authored and provided by
    Bozeman GIS Community
    Area covered
    Description

    The Montana Wetland and Riparian Framework represents the extent, type, and approximate location of wetlands, riparian areas, and deepwater habitats in Montana. These data delineate the areal extent of wetlands and deepwater habitats as defined by Cowardin et al. (2013) and riparian areas as defined by the U.S. Fish and Wildlife Service (2019). This is modern mapping completed by Montana Natural Heritage Program's (MTNHP) Wetland and Riparian Mapping Center manually digitized at a scale of 1:4,500 or 1:5,000 from orthorectified digital color-infrared aerial imagery collected during the summers of 2005, 2009, 2011, 2013, 2015, 2017, and 2019 by the National Agricultural Imagery Program (NAIP). These data are intended for use in publications at a scale of 1:12,000 or smaller. These data do not cover the entire state of Montana. For areas within Montana that do not have modern MTNHP mapping, please use the NWI Legacy (outdated mapping) and the NWI Scalable (incomplete mapping) datasets. For more information regarding the different datasets, please refer to the following document https://mtnhp.org/nwi/Wetland_Riparian_Mapping_Status_Info.pdf.

    Water Model Methods:

    1. Extracts layer areas only within the study area. 2. Adds an empty field for the wetland score. 3. Calculates a score in the wetland score field from 1 (lowest) to 3 (highest) for each attribute as described in the attribute selection column.

    Connectivity Model Methods:

    1. Extracts layer areas only within the study area. 2. Buffers riparian areas by 150 feet on each side, creating a 300-foot corridor. 3. Adds an empty field for the wetland score. 4. Calculates a score in the wetland score field from 1 (lowest) to 3 (highest) for each attribute as described in the attribute selection column.

  8. g

    Bedrock Geologic Map of Vermont - Units | gimi9.com

    • gimi9.com
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    Bedrock Geologic Map of Vermont - Units | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_bedrock-geologic-map-of-vermont-units-0b48d/
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    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Vermont
    Description

    The 2011 Bedrock Geologic Map of Vermont (1:100,000 scale) was created to integrate detailed (1:12,000- to 1:24,000-scale) modern mapping with the theory of plate tectonics to provide a framework for geologic, tectonic, economic, hydrogeologic, and environmental characterization of the bedrock of Vermont. It supersedes the 1961 bedrock geologic map which was produced at a scale of 1:250,000 (Doll and others, 1961).Please see the metadata and readme files at the publication website:https://pubs.usgs.gov/sim/3184/

  9. d

    Bedrock Geologic Map of Vermont - Faults and Contacts

    • catalog.data.gov
    • geodata.vermont.gov
    • +7more
    Updated Dec 13, 2024
    + more versions
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    Vermont Geological Survey (2024). Bedrock Geologic Map of Vermont - Faults and Contacts [Dataset]. https://catalog.data.gov/dataset/bedrock-geologic-map-of-vermont-faults-and-contacts-6d3a8
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    Dataset updated
    Dec 13, 2024
    Dataset provided by
    Vermont Geological Survey
    Area covered
    Vermont
    Description

    The 2011 Bedrock Geologic Map of Vermont (1:100,000 scale) was created to integrate detailed (1:12,000- to 1:24,000-scale) modern mapping with the theory of plate tectonics to provide a framework for geologic, tectonic, economic, hydrogeologic, and environmental characterization of the bedrock of Vermont. It supersedes the 1961 bedrock geologic map which was produced at a scale of 1:250,000 (Doll and others, 1961).Please see the metadata and readme files at the publication website:https://pubs.usgs.gov/sim/3184/

  10. d

    Shapefiles of ancient and modern passive margins for the world

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Shapefiles of ancient and modern passive margins for the world [Dataset]. https://catalog.data.gov/dataset/shapefiles-of-ancient-and-modern-passive-margins-for-the-world-da04d
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    World
    Description

    Two shapefiles mapping the locations of ancient and modern passive margin boundaries are presented. These data are a digital recreation of the work originally published by Bradley (2008). The ancient passive margin data were used as an evidential layer to map prospectivity for sediment-hosted Pb-Zn mineral systems (Lawley and others, 2022). The ancient passive margins dataset includes additional attributes related to the boundary's orogenic setting and history, the length of the boundary, its estimated lifespan, and its modern-day country location. Although only ancient passive margin boundaries were analyzed for the United States, Canada, and Australia for this study, boundaries for the world are included in the shapefile. The modern passive margin dataset includes an identifier for the margin segment, a margin name, the associated ocean, and age ranges of basin initiation, mean age and length of the respective passive margin segment. The modern passive margin data were not used in prospectivity modeling for ancient deposits. The passive margin boundaries in both files are mapped as line segments in geographic coordinates using a WGS84 datum. References Bradley, D.C., 2008, Passive margins through earth history: Earth-Science Reviews, v. 91, no. 1-4, p. 1-26, https://doi.org/10.1016/j.earscirev.2008.08.001. Lawley, C.J.M., McCafferty, A.E., Graham, G.E., Huston, D.L., Kelley, K.D., Czarnota, K., Paradis, S., Peter, J.M., Hayward, N., Barlow, M., Emsbo, P., Coyan, J., San Juan, C.A., and Gadd, M.G., 2022, Data-driven prospectivity modelling of sediment-hosted Zn-Pb mineral systems and their critical raw materials: Ore Geology Reviews, v. 141, no. 104635, https://doi.org/10.1016/j.oregeorev.2021.104635.

  11. GIS Mapping Software Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). GIS Mapping Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/gis-mapping-software-market
    Explore at:
    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

    GIS Mapping Software Market Outlook



    The global GIS Mapping Software market size was valued at approximately USD 8.5 billion in 2023 and is projected to reach around USD 17.5 billion by 2032, growing at a CAGR of 8.3% from 2024 to 2032. This robust growth is driven by the increasing adoption of geospatial technologies across various sectors, including urban planning, disaster management, and agriculture.



    One of the primary growth factors for the GIS Mapping Software market is the rising need for spatial data analytics. Organizations are increasingly recognizing the value of geographical data in making informed decisions, driving the demand for sophisticated mapping solutions. Furthermore, advancements in satellite imaging technology and the increasing availability of high-resolution imagery are enhancing the capabilities of GIS software, making it a crucial tool for various applications.



    Another significant driver is the integration of GIS with emerging technologies such as artificial intelligence (AI) and the Internet of Things (IoT). These integrations are facilitating real-time data processing and analysis, thereby improving the efficiency and accuracy of GIS applications. For instance, in urban planning and disaster management, real-time data can significantly enhance predictive modeling and response strategies. This synergy between GIS and cutting-edge technologies is expected to fuel market growth further.



    The growing emphasis on sustainable development and smart city initiatives globally is also contributing to the market's expansion. Governments and private entities are investing heavily in GIS technologies to optimize resource management, enhance public services, and improve urban infrastructure. These investments are particularly evident in developing regions where urbanization rates are high, and there is a pressing need for efficient spatial planning and management.



    In terms of regional outlook, North America holds a significant share of the GIS Mapping Software market, driven by robust technological infrastructure and high adoption rates across various industries. However, Asia Pacific is expected to witness the highest growth rate during the forecast period. This growth is attributed to rapid urbanization, increasing government initiatives for smart cities, and rising investments in infrastructure development.



    The Geographic Information Systems Platform has become an integral part of modern spatial data management, offering a comprehensive framework for collecting, analyzing, and visualizing geographic data. This platform facilitates the integration of diverse data sources, enabling users to create detailed maps and spatial models that support decision-making across various sectors. With the increasing complexity of urban environments and the need for efficient resource management, the Geographic Information Systems Platform provides the tools necessary for real-time data processing and analysis. Its versatility and scalability make it an essential component for organizations looking to leverage geospatial data for strategic planning and operational efficiency.



    Component Analysis



    The GIS Mapping Software market is segmented by component into software and services. The software segment dominates the market, primarily due to the continuous advancements in GIS software capabilities. Modern GIS software offers a range of functionalities, from basic mapping to complex spatial analysis, making it indispensable for various sectors. These software solutions are increasingly user-friendly, allowing even non-experts to leverage geospatial data effectively.



    Moreover, the software segment is witnessing significant innovation with the integration of AI and machine learning algorithms. These advancements are enabling more sophisticated data analysis and predictive modeling, which are crucial for applications such as disaster management and urban planning. The adoption of cloud-based GIS software is also on the rise, offering scalability and real-time data processing capabilities, which are essential for dynamic applications like transport management.



    The services segment, although smaller than the software segment, is also experiencing growth. This includes consulting, implementation, and maintenance services that are critical for the successful deployment and operation of GIS systems. The increasing complexity of GIS applications nec

  12. Modern Antique Map

    • opendata-cosagis.opendata.arcgis.com
    • indianamap.org
    • +19more
    Updated Jun 27, 2016
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    Esri (2016). Modern Antique Map [Dataset]. https://opendata-cosagis.opendata.arcgis.com/maps/f35ef07c9ed24020aadd65c8a65d3754
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    Dataset updated
    Jun 27, 2016
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The Modern Antique Map (World Edition) web map provides a world basemap symbolized with a unique antique styled map, with a modern flair -- including the benefit of multi-scale mapping. The comprehensive map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. This basemap, included in the ArcGIS Living Atlas of the World, uses the Modern Antique vector tile layer and World Hillshade.The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

  13. Cadastral Mapping Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 3, 2024
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    Dataintelo (2024). Cadastral Mapping Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/cadastral-mapping-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Oct 3, 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

    Cadastral Mapping Market Outlook



    The global cadastral mapping market size was valued at approximately USD 4.2 billion in 2023 and is projected to reach around USD 7.9 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.2% during the forecast period. This market growth can be attributed to increasing urbanization, rapid advancements in geospatial technologies, and the growing need for efficient land management systems across various regions.



    The expansion of urban areas and the corresponding increase in the need for effective land management infrastructure are significant growth factors driving the cadastral mapping market. As urbanization accelerates globally, local governments and planning agencies require sophisticated tools to manage and record land ownership, boundaries, and property information. Enhanced geospatial technologies, including Geographic Information Systems (GIS) and remote sensing, are pivotal in facilitating accurate and efficient cadastral mapping, thus contributing to market growth.



    Another key growth factor is the rising demand for infrastructure development. As nations invest in large-scale infrastructure projects such as roads, railways, and smart cities, there is an increased need for precise land data to ensure the proper allocation of resources and to avoid legal disputes. Cadastral mapping provides the critical data needed for these projects, hence its demand is surging. Additionally, governments worldwide are increasingly adopting digital platforms to streamline land administration processes, further propelling the market.



    Furthermore, the agricultural sector is also significantly contributing to the growth of the cadastral mapping market. Modern agriculture relies heavily on accurate land parcel information for planning and optimizing crop production. By integrating cadastral maps with other geospatial data, farmers can improve land use efficiency, monitor crop health, and enhance yield predictions. This integration is particularly valuable in precision farming, which is becoming more prevalent as the world's population grows and the demand for food increases.



    Regionally, Asia Pacific is expected to witness the highest growth in the cadastral mapping market. Factors such as rapid urbanization, extensive infrastructure development projects, and the need for improved land management are driving the demand in this region. Moreover, governments in countries like India and China are investing heavily in creating digital land records and implementing smart city initiatives, which further boosts the market. The North American and European markets are also substantial, driven by the advanced technological infrastructure and well-established land administration systems.



    Component Analysis



    The cadastral mapping market can be segmented by component into software, hardware, and services. The software segment holds a significant share in this market, driven by the increasing adoption of advanced GIS and mapping software solutions. These software solutions enable accurate land parcel mapping, data analysis, and integration with other geospatial data systems, making them indispensable tools for cadastral mapping. Companies are continuously innovating to provide more intuitive and comprehensive software solutions, which is expected to fuel growth in this segment.



    Hardware components, including GPS devices, drones, and other surveying equipment, are also critical to the cadastral mapping market. The hardware segment is expected to grow steadily as technological advancements improve the accuracy and efficiency of these devices. Innovations such as high-resolution aerial imaging and LIDAR technology are enhancing the capabilities of cadastral mapping hardware, allowing for more detailed and precise data collection. This segment is particularly essential for field surveying and data acquisition, forming the backbone of cadastral mapping projects.



    The services segment encompasses a wide range of offerings, including consulting, implementation, and maintenance services. Professional services are vital for the successful deployment and operation of cadastral mapping systems. Governments and private sector organizations often rely on specialized service providers to implement these systems, train personnel, and ensure ongoing support. As the complexity of cadastral mapping projects increases, the demand for expert services is also expected to rise, contributing to the growth of this segment.



    Integration services are another critical component within the

  14. Modern Antique

    • pacificgeoportal.com
    • cacgeoportal.com
    • +2more
    Updated Nov 6, 2017
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    Esri (2017). Modern Antique [Dataset]. https://www.pacificgeoportal.com/maps/effe3475f05a4d608e66fd6eeb2113c0
    Explore at:
    Dataset updated
    Nov 6, 2017
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This vector tile layer presents the Modern Antique style (World Edition) and provides a detailed basemap for the world, symbolized with a unique antique styled map, with a modern flair -- including the benefit of multi-scale mapping. The comprehensive map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.This vector tile layer is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.This layer is used in the Modern Antique Map web map included in ArcGIS Living Atlas of the World.See the Vector Basemaps group for other vector tile layers. Customize this StyleLearn more about customizing this vector basemap style using the Vector Tile Style Editor. Additional details are available in ArcGIS Online Blogs and the Esri Vector Basemaps Reference Document.

  15. Aerial Mapping System Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 5, 2024
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    Dataintelo (2024). Aerial Mapping System Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/aerial-mapping-system-market
    Explore at:
    pdf, pptx, csvAvailable 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

    Aerial Mapping System Market Outlook



    The global aerial mapping system market size is estimated to reach USD 4.5 billion in 2023 and is projected to grow to USD 10.2 billion by 2032, at a compound annual growth rate (CAGR) of 9.7% during the forecast period. The primary growth drivers for this market include advancements in geospatial technology, rising demand for accurate and cost-effective location-based services, and increased governmental and commercial investments in infrastructure and urban planning.



    One of the most significant growth factors in the aerial mapping system market is the rapid technological advancements in geospatial data collection and processing. Innovations in hardware, such as high-resolution cameras and LiDAR sensors, combined with sophisticated software algorithms for data analysis, have dramatically improved the accuracy and efficiency of aerial mapping. These advancements have made it possible to capture highly detailed and precise geospatial data, which is essential for a wide range of applications, from urban planning to environmental monitoring.



    Increasing demand for cost-effective and accurate location-based services is another crucial factor driving market growth. As industries such as agriculture, construction, and disaster management become more reliant on precise geospatial information, the need for advanced aerial mapping systems has surged. These systems offer a significant advantage over traditional ground-based survey methods by providing comprehensive, real-time data that can be used for various decision-making processes. This trend is expected to continue as more sectors recognize the value of accurate geospatial data.



    Additionally, substantial investments from both governmental and commercial entities in infrastructure and urban planning are fueling the growth of the aerial mapping system market. Governments worldwide are increasingly adopting aerial mapping technologies for city planning, infrastructure development, and environmental monitoring. In the commercial sector, industries such as real estate, mining, and utilities are leveraging aerial mapping systems for site assessment, resource management, and operational efficiency. These investments are expected to drive the market further, as they underscore the critical role of aerial mapping in modern infrastructure development.



    From a regional perspective, North America holds a significant share of the aerial mapping system market, primarily due to the presence of major technology companies and extensive governmental initiatives focused on infrastructure and environmental monitoring. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid urbanization, infrastructural development, and increasing adoption of advanced technologies in countries like China and India.



    Component Analysis



    The aerial mapping system market is segmented by components into hardware, software, and services. Hardware components, such as cameras, sensors, and drones, are essential for collecting high-resolution aerial imagery and data. The advancements in these hardware components have significantly enhanced the efficiency and accuracy of aerial mapping systems. High-resolution cameras and LiDAR sensors, for example, provide detailed and precise geospatial data, which is crucial for various applications, including urban planning and environmental monitoring.



    Software components play a pivotal role in processing and analyzing the data collected by hardware. Sophisticated software algorithms can convert raw data into actionable insights, making it easier for users to interpret and utilize the information. The development of advanced data processing and analysis software has been a major driver for the market, as it allows for the efficient handling of large volumes of geospatial data. This software is essential for generating accurate maps, 3D models, and other valuable outputs from aerial imagery.



    Services, which include data collection, processing, analysis, and consulting, are also a significant segment of the aerial mapping system market. These services are often provided by specialized companies that have the expertise and equipment to conduct aerial surveys and produce high-quality geospatial data. The demand for these services is driven by the need for accurate and timely information for various applications, such as disaster management, environmental monitoring, and infrastructure development. Service providers play a crucial role in the market by offering end-to-end solutions, from dat

  16. w

    Bedrock Geologic Map of Vermont - Dikes

    • data.wu.ac.at
    • datasets.ai
    • +10more
    Updated Apr 16, 2018
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    Vermont Center for Geographic Information (2018). Bedrock Geologic Map of Vermont - Dikes [Dataset]. https://data.wu.ac.at/schema/data_gov/MDY1MTAwNGUtZWYxYi00N2FjLWIzNjgtYzU0YjYzMDljYjgw
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    zip, csv, kml, application/vnd.geo+json, application/vnd.ogc.wms_xml, json, htmlAvailable download formats
    Dataset updated
    Apr 16, 2018
    Dataset provided by
    Vermont Center for Geographic Information
    Area covered
    984ace68f4d836aaa2e21baa0dd6fcb0ec218a1b, Vermont
    Description

    The bedrock geology was last mapped at a statewide scale 50 years ago at a scale of 1:250,000 (Doll and others, 1961). The 1961 map was compiled from 1:62,500-scale or smaller maps. The current map was created to integrate more detailed (1:12,000- to 1:24,000-scale) modern mapping with the theory of plate tectonics to provide a framework for geologic, tectonic, economic, hydrogeologic, and environmental characterization of the bedrock of Vermont.�

    This dataset is not symbolized. �You can access symbolized layer files for the entire VT bedrock geology map here: https://anrmaps.vermont.gov/websites/geology/BedrockLayer

    Please see the metadata and readme files at the publication website listed below for more details:

    https://pubs.usgs.gov/sim/3184/


  17. D

    Digital Map Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Jun 19, 2025
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    Market Report Analytics (2025). Digital Map Market Report [Dataset]. https://www.marketreportanalytics.com/reports/digital-map-market-88590
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The digital map market, currently valued at $25.55 billion in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 13.39% from 2025 to 2033. This expansion is fueled by several key factors. The increasing adoption of location-based services (LBS) across various sectors, including transportation, logistics, and e-commerce, is a primary driver. Furthermore, the proliferation of smartphones and connected devices, coupled with advancements in GPS technology and mapping software, continues to fuel market growth. The rising demand for high-resolution, real-time mapping data for autonomous vehicles and smart city initiatives also significantly contributes to market expansion. Competition among established players like Google, TomTom, and ESRI, alongside emerging innovative companies, is fostering continuous improvement in map accuracy, functionality, and data accessibility. This competitive landscape drives innovation and lowers costs, making digital maps increasingly accessible to a broader range of users and applications. However, market growth is not without its challenges. Data security and privacy concerns surrounding the collection and use of location data represent a significant restraint. Ensuring data accuracy and maintaining up-to-date map information in rapidly changing environments also pose operational hurdles. Regulatory compliance with differing data privacy laws across various jurisdictions adds another layer of complexity. Despite these challenges, the long-term outlook for the digital map market remains positive, driven by the relentless integration of location intelligence into nearly every facet of modern life, from personal navigation to complex enterprise logistics solutions. The market's segmentation (although not explicitly provided) likely includes various map types (e.g., road maps, satellite imagery, 3D maps), pricing models (subscriptions, one-time purchases), and industry verticals served. This diversified market structure further underscores its resilience and potential for sustained growth. Recent developments include: December 2022 - The Linux Foundation has partnered with some of the biggest technology companies in the world to build interoperable and open map data in what is an apparent move t. The Overture Maps Foundation, as the new effort is called, is officially hosted by the Linux Foundation. The ultimate aim of the Overture Maps Foundation is to power new map products through openly available datasets that can be used and reused across applications and businesses, with each member throwing their data and resources into the mix., July 27, 2022 - Google declared the launch of its Street View experience in India in collaboration with Genesys International, an advanced mapping solutions company, and Tech Mahindra, a provider of digital transformation, consulting, and business re-engineering solutions and services. Google, Tech Mahindra, and Genesys International also plan to extend this to more than around 50 cities by the end of the year 2022.. Key drivers for this market are: Growth in Application for Advanced Navigation System in Automotive Industry, Surge in Demand for Geographic Information System (GIS); Increased Adoption of Connected Devices and Internet. Potential restraints include: Growth in Application for Advanced Navigation System in Automotive Industry, Surge in Demand for Geographic Information System (GIS); Increased Adoption of Connected Devices and Internet. Notable trends are: Surge in Demand for GIS and GNSS to Influence the Adoption of Digital Map Technology.

  18. n

    Data from: High-Resolution Bathymetry of Florida Bay

    • cmr.earthdata.nasa.gov
    • search.dataone.org
    Updated Apr 20, 2017
    + more versions
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    (2017). High-Resolution Bathymetry of Florida Bay [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C2231552903-CEOS_EXTRA.html
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    Dataset updated
    Apr 20, 2017
    Time period covered
    Jan 1, 1889 - Dec 31, 1999
    Area covered
    Description

    The objective of this research was to collect new bathymetry for all of Florida Bay, digitize the historical shoreline and bathymetric data, compare previous data to modern data, and produce maps and digital grids of historical and modern bathymetry.

    Detailed, high-resolution maps of Florida Bay mudbank elevations are needed to understand sediment dynamics and provide input into water quality and circulation models. The bathymetry of Florida Bay had not been systematically mapped in nearly 100 years, and some shallow areas of the bay have never been mapped. An accurate, modern bathymetric survey provides a baseline for assessing future sedimentation rates in the Bay, and a foundation for developing a sediment budget. Due to the complexity of the Bay and age of existing data, a current bathymetric grid (digitally derived from the survey) is critical for numerical models. Numerical circulation and sediment transport models being developed for the South Florida Ecosystem Restoration Program are being used to address water quality issues in Florida Bay. Application of these models is complicated due to the complex seafloor topography (basin/mudbank morphology) of the Bay. The only complete topography data set of the Bay is 100 years old. Consequently, an accurate, modern seafloor bathymetry map of the Bay is critical for numerical modeling research. A modern bathymetry data set will also permit a comparison to historical data in order to help access sedimentation rates within the Bay.

  19. A

    Bedrock Geologic Map of Vermont - Units

    • data.amerigeoss.org
    • anrgeodata.vermont.gov
    • +9more
    csv, esri rest +5
    Updated Jul 30, 2019
    + more versions
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    United States[old] (2019). Bedrock Geologic Map of Vermont - Units [Dataset]. https://data.amerigeoss.org/da_DK/dataset/geologicbedrock100k-units-color-definitions
    Explore at:
    esri rest, kml, ogc wms, csv, geojson, html, zipAvailable download formats
    Dataset updated
    Jul 30, 2019
    Dataset provided by
    United States[old]
    Area covered
    Vermont
    Description

    The bedrock geology was last mapped at a statewide scale 50 years ago at a scale of 1:250,000 (Doll and others, 1961). The 1961 map was compiled from 1:62,500-scale or smaller maps. The current map was created to integrate more detailed (1:12,000- to 1:24,000-scale) modern mapping with the theory of plate tectonics to provide a framework for geologic, tectonic, economic, hydrogeologic, and environmental characterization of the bedrock of Vermont. Please see the metadata and readme files at the publication website listed below for more details.

    This dataset is not symbolized. �You can access symbolized layer files for the entire VT bedrock geology map here: https://anrmaps.vermont.gov/websites/geology/BedrockLayer

    Please see the metadata and readme files at the publication website listed below for more details:

    https://pubs.usgs.gov/sim/3184/


  20. H

    Replication Data for: Algorithmic Maps and the Political Geography of...

    • dataverse.harvard.edu
    • dataone.org
    Updated Aug 17, 2023
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    Mark Ravina (2023). Replication Data for: Algorithmic Maps and the Political Geography of Early-modern Japan [Dataset]. http://doi.org/10.7910/DVN/63MIDP
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 17, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Mark Ravina
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Japan
    Description

    File descriptions: Village_level_calculations.R — calculates village-level metrics Parcels_sample.txt — random sample of 37,295 parcels from 25,000 unique locations, a random sample of a complete data set of 65,201 unique locations Shikoku_Voronoi_map.R — code to generate Voronoi map “Figure_11_Interactive_map_of_Iyo.html” Shikoku_Voronoi_data.txt — data for Shikoku_Voronoi_map.R gadm40_JPN_shp — folder os shapefiles for Shikoku_Voronoi_map.R Domain_Simpson_complete.txt — complete domain-level data for logit calculations, based on all 65,201 locations and 97,553 parcels.

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Esri (2019). Modern Antique Map (WGS84) [Dataset]. https://hub.arcgis.com/maps/2b7b13d3f4a943b5879ffe9c7650e101
Organization logo

Modern Antique Map (WGS84)

Explore at:
Dataset updated
May 29, 2019
Dataset authored and provided by
Esrihttp://esri.com/
Area covered
Description

The Modern Antique Map (WGS84) (World Edition) web map provides a world basemap symbolized with a unique antique styled map, with a modern flair -- including the benefit of multi-scale mapping. The comprehensive map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. This basemap, included in the ArcGIS Living Atlas of the World, uses the Modern Antique (WGS84) vector tile layer and World Hillshade (WGS84) raster tile layer.The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps WGS84 are updated quarterly.Check out other WGS84 basemaps in the World Basemaps (WGS84) group. Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the layers referenced in this map.Precise Tile Registration The map uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.

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