This dataset contains elevation, 1986 forest type, land-use history, and soils maps for the Prospect Hill Tract, digitized from paper maps in the Harvard Forest Archives. File format = Idrisi 4.1 binary. Resolution = 10m x 10m. Coordinates = UTM zone 18. Datum = 1927 North American. This dataset has been replaced with a new vector series for the entire Harvard Forest (see HF110).

Various spatial layers associated with this FRMSP

This feature service is available through CT ECO, a partnership between UConn CLEAR and CT DEEP. It is also available as a map service and a tiled map service. This dataset is a statewide service of municipal parcels (properties) including their geometry (polygon shape) and attributes (tabular information about each parcel). In order to preserve the attributes, each municipality is added individually to the service.

Map of the concentrating solar power prospects for California. Data obtained from the National Renewable Energy Laboratory (NREL) in 2008.NOTE: The direct normal solar resource measurements shown are derived from 10km Perez data (2004), with modifications by NREL. Potentially sensitive lands, major urban areas, and water features have been excluded. Areas with resource < 6.75 kwh/m2/day, slope > 1% and minimum contiguous < 5 square kilometers were also excluded to identify those areas with the greatest potential for development.

This data was last updated in July of 2018.

See full Data Guide here. This layer includes polygon features that depict protected open space for towns of the Protected Open Space Mapping (POSM) project, which is administered by the Connecticut Department of Energy and Environmental Protection, Land Acquisition and Management. Only parcels that meet the criteria of protected open space as defined in the POSM project are in this layer. Protected open space is defined as: (1) Land or interest in land acquired for the permanent protection of natural features of the state's landscape or essential habitat for endangered or threatened species; or (2) Land or an interest in land acquired to permanently support and sustain non-facility-based outdoor recreation, forestry and fishery activities, or other wildlife or natural resource conservation or preservation activities. Includes protected open space data for the towns of Andover, Ansonia, Ashford, Avon, Beacon Falls, Canaan, Clinton, Berlin, Bethany, Bethel, Bethlehem, Bloomfield, Bridgewater, Bolton, Brookfield, Brooklyn, Canterbury, Canton, Chaplin, Cheshire, Colchester, Colebrook, Columbia, Cornwall, Coventry, Cromwell, Danbury, Derby, East Granby, East Haddam, East Hampton, East Hartford, East Windsor, Eastford, Ellington, Enfield, Essex, Farmington, Franklin, Glastonbury, Goshen, Granby, Griswold, Groton, Guilford, Haddam, Hampton, Hartford, Hebron, Kent, Killingworth, Lebanon, Ledyard, Lisbon, Litchfield, Madison, Manchester, Mansfield, Marlborough, Meriden, Middlebury, Middlefield, Middletown, Monroe, Montville, Morris, New Britain, New Canaan, New Fairfield, New Milford, New Hartford, Newington, Newtown, Norfolk, North, Norwich, Preston, Ridgefield, Shelton, Stonington, Oxford, Plainfield, Plainville, Pomfret, Portland, Prospect, Putnam, Redding, Rocky Hill, Roxbury, Salem, Salisbury, Scotland, Seymour, Sharon, Sherman, Simsbury, Somers, South Windsor, Southbury, Southington, Sprague, Sterling, Suffield, Thomaston, Thompson, Tolland, Torrington, Union, Vernon, Wallingford, Windham, Warren, Washington, Waterbury, Watertown, West Hartford, Westbrook, Weston, Wethersfield, Willington, Wilton, Windsor, Windsor Locks, Wolcott, Woodbridge, Woodbury, and Woodstock. Additional towns are added to this list as they are completed. The layer is based on information from various sources collected and compiled during the period from March 2005 through the present. These sources include but are not limited to municipal Assessor's records (the Assessor's database, hard copy maps and deeds) and existing digital parcel data. The layer represents conditions as of the date of research at each city or town hall. The Protected Open Space layer includes the parcel shape (geometry), a project-specific parcel ID based on the Town and Town Assessor's lot numbering system, and system-defined (automatically generated) fields. The Protected Open Space layer has an accompanying table containing more detailed information about each feature (parcel). This table is called Protected Open Space Dat, and can be joined to Protected Open Space in ArcMap using the parcel ID (PAR_ID) field. Detailed information in the Protected Open Space Data attribute table includes the Assessor's Map, Block and Lot numbers (the Assessor's parcel identification numbering system), the official name of the parcel (such as the park or forest name if it has one), address and owner information, the deed volume and page numbers, survey information, open space type, the unique parcel ID number (Par_ID), comments collected by researchers during city/town hall visits, and acreage. This layer does not include parcels that do not meet the definition of open space as defined above. Features are stored as polygons that represent the best available locational information, and are "best fit" to the land base available for each. The Connecticut Department of Environmental Protection's (CTDEP) Permanently Protected Open Space Phase Mapping Project Phase 1 (Protected Open Space Phase1) layer

TY2024CY25 Special Assessment for Cleveland: m919345-1835 prospect energy impvt 25

The objective of the project was to build a open database of prospects inline with the in-house database of prospects created from confidential NSTA data. The data presented is as submitted in the relinquishment reports and so may contain errors and be incomplete.

This data release includes GIS datasets supporting the Colorado Legacy Mine Lands Watershed Delineation and Scoring tool (WaDeS), a web mapping application available at https://geonarrative.usgs.gov/colmlwades/. Water chemistry data were compiled from the U.S. Geological Survey (USGS) National Water Information System (NWIS), U.S. Environmental Protection Agency (EPA) STORET database, and the USGS Central Colorado Assessment Project (CCAP) (Church and others, 2009). The CCAP study area was used for this application. Samples were summarized at each monitoring station and hardness-dependent chronic and acute toxicity thresholds for aquatic life protections under Colorado Regulation No. 31 (CDPHE, 5 CCR 1002-31) for cadmium, copper, lead, and/or zinc were calculated. Samples were scored according to how metal concentrations compared with acute and chronic toxicity thresholds. The results were used in combination with remote sensing derived hydrothermal alteration (Rockwell and Bonham, 2017) and mine-related features (Horton and San Juan, 2016) to identify potential mine remediation sites within the headwaters of the central Colorado mineral belt. Headwaters were defined by watersheds delineated from a 10-meter digital elevation dataset (DEM), ranging in 5-35 square kilometers in size. Python and R scripts used to derive these products are included with this data release as documentation of the processing steps and to enable users to adapt the methods for their own applications. References Church, S.E., San Juan, C.A., Fey, D.L., Schmidt, T.S., Klein, T.L. DeWitt, E.H., Wanty, R.B., Verplanck, P.L., Mitchell, K.A., Adams, M.G., Choate, L.M., Todorov, T.I., Rockwell, B.W., McEachron, Luke, and Anthony, M.W., 2012, Geospatial database for regional environmental assessment of central Colorado: U.S. Geological Survey Data Series 614, 76 p., https://doi.org/10.3133/ds614. Colorado Department of Public Health and Environment (CDPHE), Water Quality Control Commission 5 CCR 1002-31. Regulation No. 31 The Basic Standards and Methodologies for Surface Water. Effective 12/31/2021, accessed on July 28, 2023 at https://cdphe.colorado.gov/water-quality-control-commission-regulations. Horton, J.D., and San Juan, C.A., 2022, Prospect- and mine-related features from U.S. Geological Survey 7.5- and 15-minute topographic quadrangle maps of the United States (ver. 8.0, September 2022): U.S. Geological Survey data release, https://doi.org/10.5066/F78W3CHG. Rockwell, B.W. and Bonham, L.C., 2017, Digital maps of hydrothermal alteration type, key mineral groups, and green vegetation of the western United States derived from automated analysis of ASTER satellite data: U.S. Geological Survey data release, https://doi.org/10.5066/F7CR5RK7.

description: The Unpublished Digital Geologic-GIS Map of the Hatch Trading Post Quadrangle, Utah is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (hatp_geology.gdb), a 10.1 ArcMap (.MXD) map document (hatp_geology.mxd), individual 10.1 layer (.LYR) files for each GIS data layer, an ancillary map information (.PDF) document (hove_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.TXT) and FAQ (.HTML) formats, and a GIS readme file (hatp_gis_readme.pdf). Please read the hatp_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie OMeara (stephanie.omeara@colostate.edu; see contact information below). Presently, a GRI Google Earth KMZ/KML product doesn't exist for this map. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: National Park Service Geologic Resources Inventory and U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (hatp_metadata_faq.html; available at http://nrdata.nps.gov/geology/gri_data/gis/hove/hatp_metadata_faq.html). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet (127 meters or 416.7 feet for structure contour lines and uranium prospects) of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 12N. The data is within the area of interest of Hovenweep National Monument.; abstract: The Unpublished Digital Geologic-GIS Map of the Hatch Trading Post Quadrangle, Utah is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (hatp_geology.gdb), a 10.1 ArcMap (.MXD) map document (hatp_geology.mxd), individual 10.1 layer (.LYR) files for each GIS data layer, an ancillary map information (.PDF) document (hove_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.TXT) and FAQ (.HTML) formats, and a GIS readme file (hatp_gis_readme.pdf). Please read the hatp_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie OMeara (stephanie.omeara@colostate.edu; see contact information below). Presently, a GRI Google Earth KMZ/KML product doesn't exist for this map. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: National Park Service Geologic Resources Inventory and U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (hatp_metadata_faq.html; available at http://nrdata.nps.gov/geology/gri_data/gis/hove/hatp_metadata_faq.html). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet (127 meters or 416.7 feet for structure contour lines and uranium prospects) of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 12N. The data is within the area of interest of Hovenweep National Monument.

The California Department of Water Resources (CA-DWR), North Central Region Office (NCRO), Bathymetry and Technical Support Section, conducted a bathymetric survey at the request of the CA-DWR Division of Environmental Services. The project area is: Miner Slough downstream of HWY-84 and in the Sacramento Deep Water Ship Channel south of Arrowhead Harbor. The purpose of the project is to provide high resolution, accurate bathymetry data for hydraulic models of the Prospect Island area. These models will aid in the selection of alternatives to create beneficial wetlands on the island. The data will also be used to support seepage analyses on neighboring islands. Field work was conducted in January and February of 2012 using RTK GPS and sonar technology. Single beam sonar with RTK GPS was used to supplement a multibeam sonar survey where the channel was inaccessible by our multibeam collection platform. This dataset contains single beam bathymetry only. The multibeam data exists as its own file associated with this dataset. • Horizontal Units: US Foot• Vertical Units: US Foot

ISO is an independent advisory organization that collects information on a community's building-code adoption and enforcement services in order to provide a ranking for insurance companies. ISO assigns a Building Code Effectiveness Classification from 1 to 10 based on the data collected. Class 1 represents exemplary commitment to building-code enforcement.Municipalities with better rankings are lower risk, and their residents' insurance rates can reflect that. The prospect of minimizing catastrophe-related damage and ultimately lowering insurance costs gives communities an incentive to enforce their building codes rigorously.This page provides data for the Insurance Services Organization (ISO) performance measure. This data includes residential and commercial building code enforcement ratings for the City of Tempe.The performance measure dashboard is available at 1.15 Insurance Services Organization (ISO) RatingAdditional InformationSource: Insurance Service Organization RatingContact: Chris ThompsonContact E-Mail: Christopher_Thompson@tempe.govData Source Type: ExcelPreparation Method: Information added to Excel spreadsheet from rating reportPublish Frequency: Every 5 YearsPublish Method: ManualData Dictionary

The global indoor GIS substations market is experiencing robust growth, driven by the increasing demand for reliable and efficient power transmission and distribution infrastructure. The market, estimated at $X billion in 2025 (assuming a realistic market size based on typical values for this type of specialized equipment and considering the provided CAGR), is projected to exhibit a Compound Annual Growth Rate (CAGR) of XX% from 2025 to 2033. This growth is fueled by several key factors, including the expanding power grids in developing economies, the increasing adoption of smart grids, and the rising need for compact and space-saving substation solutions in densely populated urban areas. Furthermore, stringent government regulations promoting grid modernization and enhanced power reliability are significantly contributing to market expansion. The rising integration of renewable energy sources into the grid also necessitates advanced substation technologies, further boosting the demand for indoor GIS substations. Medium voltage substations currently dominate the market share, but the high and extra-high voltage segments are expected to witness significant growth owing to large-scale power transmission projects globally. The market's segmentation by application reveals strong demand from power transmission and distribution utilities, reflecting the crucial role of these substations in ensuring a stable and reliable power supply. While established players like ABB, GE, Siemens, and Hitachi dominate the market landscape, the presence of regional players such as Larsen & Toubro further adds to the competitive dynamics. However, challenges such as high initial investment costs and the complexity of installation can impede market growth to some extent. Nevertheless, the long-term outlook for the indoor GIS substations market remains highly positive, fueled by continued infrastructure development and technological advancements. The geographic distribution shows strong market presence in North America and Europe, but the Asia-Pacific region, particularly China and India, is expected to emerge as a significant growth driver in the coming years, propelled by rapid urbanization and industrialization. This report provides a detailed analysis of the global indoor gas-insulated switchgear (GIS) substation market, projecting significant growth in the coming years. The market is expected to surpass $15 billion by 2030, driven by increasing urbanization, grid modernization initiatives, and the rising demand for reliable power infrastructure. This in-depth study examines key market trends, regional dynamics, leading players, and future growth prospects for indoor GIS substations.

The global high-voltage gas-insulated substation (GIS) market is experiencing robust growth, driven by the increasing demand for reliable and efficient power transmission and distribution infrastructure. The market size in 2025 is estimated at $10 Billion, exhibiting a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several key factors, including the expansion of renewable energy sources requiring advanced grid infrastructure, the rising urbanization leading to increased electricity demand, and the growing focus on improving grid reliability and resilience. The shift towards smart grids and the integration of advanced technologies like digital substations further contribute to market expansion. Significant investments in upgrading aging power grids, particularly in developing economies, are also creating substantial opportunities. The market is segmented by type (isolated phase GIS, integrated 3-phase GIS, hybrid GIS, others) and application (electric power, manufacturing, others), with the electric power sector dominating. Leading players such as ABB, GE Grid Solutions, Siemens, and Mitsubishi Electric are driving innovation and competition, offering a range of solutions tailored to specific customer needs and geographical locations. Growth is expected to be particularly strong in regions experiencing rapid economic development and infrastructure expansion, such as Asia-Pacific and the Middle East & Africa. However, the high initial investment cost associated with GIS substations and the potential impact of economic downturns pose challenges to market growth. Nevertheless, the long-term prospects for the high-voltage GIS substation market remain positive, underpinned by the continued growth of the global energy sector and the ongoing need for reliable and efficient power delivery. Technological advancements, such as the development of more compact and environmentally friendly GIS systems, are expected to further stimulate market growth in the coming years. The market's competitive landscape is characterized by both established global players and emerging regional manufacturers, creating a dynamic and innovative environment. This report provides a detailed analysis of the global high voltage gas-insulated substation (GIS) market, projecting significant growth to reach $30 billion by 2030. It offers in-depth insights into market trends, key players, and future growth opportunities, incorporating data from leading manufacturers like ABB, Siemens, and GE Grid Solutions. The report utilizes rigorous market research methodologies to ensure accuracy and reliability, making it an indispensable resource for industry stakeholders.

The low-voltage gas-insulated switchgear (GIS) market is experiencing robust growth, driven by the increasing demand for reliable and safe power distribution in industrial and power transmission applications. The market size in 2025 is estimated at $2304.4 million. While the exact CAGR is not provided, considering the strong drivers and technological advancements in the sector, a conservative estimate of 7% CAGR from 2025 to 2033 is plausible. This growth is fueled by several factors, including the rising adoption of renewable energy sources, which require advanced switchgear solutions for efficient grid integration. Furthermore, stringent safety regulations and the need for improved power quality across various sectors are driving the demand for low-voltage GIS systems. The increasing urbanization and industrialization globally contribute significantly to the market's expansion, particularly in regions like Asia Pacific and North America. The segment of Integrated 3-Phase GIS is likely to witness the fastest growth due to its enhanced efficiency and reduced footprint compared to single-phase systems. The competitive landscape is characterized by the presence of major global players such as ABB, Siemens, and GE, alongside several regional manufacturers. These companies are continuously investing in research and development to improve the performance, reliability, and safety of their products. Key strategies include mergers and acquisitions, strategic partnerships, and the development of innovative products catering to specific market needs. Despite the positive outlook, challenges such as the high initial investment costs associated with low-voltage GIS and the potential impact of economic fluctuations could moderate the market's growth rate. Nonetheless, the long-term prospects for the low-voltage gas-insulated switchgear market remain positive, propelled by ongoing technological advancements and the increasing demand for reliable and efficient power distribution across diverse applications. This report provides a detailed analysis of the global low-voltage gas-insulated switchgear (GIS) market, projecting robust growth driven by increasing urbanization, renewable energy integration, and stringent safety regulations. The market, currently valued at approximately $3.5 billion, is expected to surpass $5 billion by 2030. This comprehensive study delves into market segmentation, key players, technological advancements, and future growth prospects, offering invaluable insights for stakeholders across the energy sector.

The Ultra-High Voltage (UHV) Gas Insulated Switchgear (GIS) market is experiencing robust growth, driven by the increasing demand for efficient and reliable power transmission and distribution infrastructure globally. The expanding electricity grids, particularly in developing economies experiencing rapid industrialization and urbanization, necessitate the deployment of UHV GIS to manage high power capacities and ensure grid stability. Technological advancements in GIS, such as the development of more compact and environmentally friendly designs utilizing SF6 alternatives, are further fueling market expansion. The market is segmented by application (UHV DC Converter Stations and UHV AC Substations) and type (Circuit Breaker Interrupter, Circuit Breaker Operating Mechanism, Basin Insulator, Insulation Pull Rod, Porcelain Tube Sleeve, Composite Pipe Sleeve Shell, Disconnect Switch, Grounding Switch, Bus-bar). Major players like ABB, Siemens, and Toshiba dominate the market, leveraging their established technological expertise and global reach. However, the emergence of several strong regional players like Shanghai Zonfa Electric and Henan Pinggao Electric signifies a growing competitive landscape. The market is geographically diverse, with significant contributions from North America, Europe, and Asia-Pacific, reflecting the global need for advanced power transmission solutions. While the initial investment costs for UHV GIS can be substantial, the long-term benefits in terms of reduced transmission losses and enhanced operational reliability outweigh these expenses, making it a financially viable solution for electricity grid operators. The forecast period (2025-2033) anticipates continued expansion, albeit at a potentially moderating CAGR compared to previous years. This moderation could be attributed to factors such as the cyclical nature of infrastructure projects and potential supply chain constraints impacting material availability. Nevertheless, sustained investments in renewable energy sources and the need for improved grid resilience to accommodate fluctuating renewable energy generation will continue to drive demand. The increasing adoption of smart grid technologies, which rely on efficient and reliable switchgear, further solidifies the long-term prospects of the UHV GIS market. The competitive landscape will likely witness increased mergers and acquisitions, as companies strive to consolidate their market share and expand their product portfolios. Focus on research and development will remain crucial for manufacturers to deliver innovative, sustainable, and cost-effective solutions to meet evolving grid requirements.

URL: https://geoscience.data.qld.gov.au/dataset/ds000030

North Queensland gold and base metals study

The North Queensland gold and base metals study was conducted in two stages. The first stage covered the Georgetown (Etheridge and Croydon) region and the second stage covered the Charters Towers region.

The reinterpretation of data for these regions involved a desktop analysis using geophysical data acquired through original mapping, followed by limited field checking of significant geological revisions.

Stage 1: Georgetown (November 2002)

The North Queensland Gold and Base Metals Study, Georgetown, is an integrated digital geological information package for the Georgetown area.

The Georgetown area is most prospective for epithermal gold systems, the Broken Hill type base metal mineralisation model, Kidston-Mount Leyshon type gold model, and possibly Carlin style mineralisation.

What data is included?

Datasets in the product include:

• geology and explanatory notes
• mineral occurrences
• geophysical images
• interpreted magnetic lineaments
• whole rock geochemistry
• geological field observations
• historic exploration tenure
• solid geology interpretation (excluding alluvium, soils, regolith and Mesozoic age rocks).

Data coverage

The data covers the following 1:100,000 map sheets:

• Lyndbrook
• Croydon
• Bullock Creek
• Gilbert River
• Forest Home
• Georgetown
• Mount Surprise
• Saint Ronans
• Prospect
• Esmeralda
• North Head
• Forsayth
• Einasleigh
• Conjuboy
• Pelham
• Bellfield
• Gilberton
• Lyndhurst
• Burges
• Etherdale
• Mount Norman
• Hampstead.

Data format

The data is supplied in both ArcView and MapInfo formats.

This feature class is a vector file containing polygons that represent the flood control bypasses of the Sacramento and San Joaquin Rivers. Bypasses convey excess flood waters from rivers and streams onto designated lands to reduce flood risks to populated areas. It combines polygons the capacity coverage (which follows CLD Levee centerlines) from GEI Consutlants, Flood Project Inspection and Integrity Branch (FPIIB) capacity coverage, digitized areas from 2005 NAIP (Butte Basin and Butte Slough), and polygons digitized by Michael Ward -- SJR Bypasses (Eastside, Chowchilla Canal, and Mariposa).20141015: The parent bypass layer was compiled by DWR, Northern Region Office using data supplied by various sources, as stated in the metadata, which is for display purposes in maps. The Yolo Bypass polygon has been substituted for the polygon developed by MWH Global Inc. in 2012 and was modified to more closely match previously reported acreages. The primary modifications are: 1) Removal of the Sacramento River Deep Water Channel 2) The west side of the bypass was modified to match the Central Valley Flood Protection Plan (CVFPP) economic impact dated 20110826 areas from Putah Creek to the end of the western levee. This layer was used in the CVFPP 2017 Update.20210107: Prospect Island was added from parent file Delta_Islands_20140616.shp. It is not a legal boundary and is for representation only.

We are monitoring vegetation at the Harvard Forest for invasive plant populations with respect to land use history and other factors. Using our historical database for the Harvard Forest Prospect Hill tract, we have begun mapping the current distribution of exotic plants as a function of past land use. The 320 ha tract of Prospect Hill is mapped by parcels with known land-use history, soils, vegetation composition, and long-term vegetation dynamics. We plan to conduct annual vegetation surveys at Harvard Forest and the adjacent Quabbin Reservation to document six key exotic species currently present in the area: A. petiolata, the exotic shrubs B. thunbergii, Rhamnus cathartica, R. frangula, Lonicera spp. and the climbing vine, Celastrus orbiculatus. We will map the GPS coordinates and record cover estimates of each species and conduct spatial analyses on these data using our extensive records and GIS maps of land use histories at these locations. Detailed site histories will be determined certain species of interest, using field and archival records. Using similar techniques, we also plan to monitor invasive plant populations at key experimental plots (including the hemlock removal experiment at Simes Tract, and the "recovery phase" of the Chronic N addition plots). Together, these landscape-level studies will provide a novel historical context for understanding biological invasions in a historical context.

The China geospatial analytics market is experiencing robust growth, fueled by increasing government investments in infrastructure development, smart city initiatives, and precision agriculture. A Compound Annual Growth Rate (CAGR) of 10.69% from 2019 to 2024 suggests a significant expansion, projecting substantial market size in the coming years. The market's segmentation reflects its diverse applications, with strong demand across various sectors. Agriculture benefits from precise land management and resource optimization, while the utility and communication sectors leverage geospatial data for network planning and infrastructure maintenance. Defense and intelligence agencies utilize the technology for surveillance and strategic decision-making, while government bodies employ it for urban planning and disaster response. Mining and natural resources companies utilize geospatial analytics for exploration and resource management, and the automotive and transportation sectors utilize it for logistics and navigation. Furthermore, the healthcare sector is increasingly adopting geospatial analytics for epidemiology and public health monitoring, and the real estate and construction industry benefits from improved site selection and project management. The presence of established players like Weihai Wuzhou Navi-Tech and Jiangsu Xingyue Surveying and Mapping Technology Co Ltd, alongside emerging companies like GeoQ and Mapuni, indicates a competitive and dynamic market landscape. The continued expansion of 5G networks and the increasing adoption of cloud-based solutions will further drive market growth in the forecast period (2025-2033). While precise market size figures for 2019-2024 are not provided, the 10.69% CAGR and the projected growth indicate a substantial market. Extrapolating from the provided information and considering typical market growth patterns, the market is likely to witness continued expansion in the coming years, driven by technological advancements, growing data availability, and increasing government support. The competitive landscape suggests a healthy level of innovation and market penetration. The diverse applications across various sectors point to sustained growth beyond the forecast period, making the China geospatial analytics market an attractive investment prospect. China Geospatial Analytics Market: A Comprehensive Report (2019-2033) This comprehensive report provides an in-depth analysis of the burgeoning China geospatial analytics market, projecting robust growth from $XXX million in 2025 to $YYY million by 2033. The study period covers 2019-2033, with 2025 serving as the base year and the forecast period spanning 2025-2033. This report is essential for businesses, investors, and policymakers seeking to understand the market's dynamics, trends, and future potential. Key segments analyzed include surface analysis, network analysis, and geovisualization across various end-user verticals like agriculture, defense, government, and real estate. Recent developments include: March 2023: China launched a remote sensing satellite recently. At the Xichang Satellite Launching Center of Sichuan Province in southwest China, a Yaogan 34-04 satellite lifted off on Long March 2C. The Long March 2C rocket is a two-stage launch vehicle that has been used on various missions, such as remote sensing and navigation satellites., August 2023: China successfully launched the high-orbit synthetic aperture radar (SAR) satellite, L-SAR4 01. The satellite was placed into orbit from the Xichang Satellite Centre in southwest China, Sichuan Province. The LSAR4 01 Remote Sensing Satellite will allow the delivery of all-weather, day-to-day imaging of Chinese territory and areas surrounding it. It is suitable for disaster monitoring and other applications, as it provides the advantages of a short recalibration period and wide image coverage.. Key drivers for this market are: Increase in Adoption of Smart City Development, Introduction of 5G to Boost Market Growth. Potential restraints include: High Costs and Operational Concerns. Notable trends are: 5G to boost the market growth during the forecast period.