This group of layers was developed by the Balmoral Group and contains the critical infrastructure layers as defined in 380.093(2)(a) Florida Statutes. The layers were sourced from various public State of Florida and Federal Sources. Critical infrastructure includes wastewater treatment facilities and lift stations, stormwater treatment facilities and pump stations, drinking water facilities, water utility conveyance systems, electric production and supply facilities, solid and hazardous waste facilities, military installations, communications facilities, and disaster debris management sites. Typically, the data are utilized in various vulnerability assessments in evaluating the exposure and sensitivity from combined events of sea level rise, precipitation, major storms, and flooding. The data will also be used in efforts to complete a comprehensive statewide assessment for the State of Florida.

This geodatabase reflects the U.S. Geological Survey’s (USGS) ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports in Africa. The geodatabase and geospatial data layers serve to create a new geographic information product in the form of a geospatial portable document format (PDF) map. The geodatabase contains data layers from USGS, foreign governmental, and open-source sources as follows: (1) mineral production and processing facilities, (2) mineral exploration and development sites, (3) mineral occurrence sites and deposits, (4) undiscovered mineral resource tracts for Gabon and Mauritania, (5) undiscovered mineral resource tracts for potash, platinum-group elements, and copper, (6) coal occurrence areas, (7) electric power generating facilities, (8) electric power transmission lines, (9) liquefied natural gas terminals, (10) oil and gas pipelines, (11) undiscovered, technically recoverable conventional and continuous hydrocarbon resources (by USGS geologic/petroleum province), (12) cumulative production, and recoverable conventional resources (by oil- and gas-producing nation), (13) major mineral exporting maritime ports, (14) railroads, (15) major roads, (16) major cities, (17) major lakes, (18) major river systems, (19) first-level administrative division (ADM1) boundaries for all countries in Africa, and (20) international boundaries for all countries in Africa.

Infrastructure projects are compiled from the capital improvement plans for Transportation, Airport & Ferry, Surface Water Management, and Sewers. Programs (chipseal, paving, guardrail) are not displayed. Project location, scope, and schedule are subject to change. Please read metadata for additional information(https://matterhorn.piercecountywa.gov/GISmetadata/pdbpubw_improvement_project_points.html). Any data download constitutes acceptance of the Terms of Use (https://matterhorn.piercecountywa.gov/Disclaimer/PierceCountyGISDataTermsofUse.pdf).

Instant App for viewing this individual sector, direct link at bottom right of system description page or on our NJSP/SEOC/GIS Hub Page at: https://seoc-njoem.hub.arcgis.com/Within Instant App for viewing ALL 10 Public Critical Infrastructure GIS Data - Sectors - direct link at:https://njoem.maps.arcgis.com/apps/instant/portfolio/index.html?appid=9b0f325f559a499685aa5c92a2f2696a

The GIS data maintained by HPPM includes information on buildings and grounds related to Harvard University. Our "standard" base layers are available to Harvard affiliates and their service providers (for example, architects) working on Harvard projects in AutoCAD DWG, ESRI SHP or File Geodatabase format. Additional datasets are sometimes available by special arrangement. http://home.hppm.harvard.edu/pages/gis-data-layers

Building footprints from the 2011 LiDAR project. Includes outlines of buildings with an area of 40 square feet or greater. Automated classification of buildings performed using TerraScan. Manual cleanup of building classification was then carried out within point cloud data using TerraScan or LP360. Building footprints were digitized automatically using the LP360 building extraction feature. Footprints cleaned up manually using ArcGIS.This dataset is static and has not been edited since its original delivery.

The Geographic Information Systems (GIS) Platform market is experiencing robust growth, projected to reach a market size of $4078.2 million in 2025. While the provided CAGR is missing, considering the widespread adoption of GIS across various sectors like government, utilities, and commercial businesses, coupled with advancements in cloud-based GIS and increasing demand for spatial analytics, a conservative estimate of the Compound Annual Growth Rate (CAGR) between 2025 and 2033 would be around 7-9%. This suggests a significant expansion of the market over the forecast period. Key drivers include the rising need for efficient resource management, improved infrastructure planning, precise location-based services, and the growing adoption of big data analytics combined with location intelligence. The market is segmented by type (Desktop GIS, Web Map Service GIS, Others) and application (Government & Utilities, Commercial Use), reflecting the diverse applications of GIS technology. Leading players like Environmental Systems Research Institute (Esri), Hexagon, Pitney Bowes, and SuperMap are shaping the market landscape through continuous innovation and strategic partnerships. The North American market currently holds a significant share due to high technology adoption and substantial investments in GIS infrastructure, but rapid growth is anticipated in Asia Pacific regions like China and India driven by urbanization and infrastructure development. The increasing availability of affordable high-resolution imagery and data fuels further expansion. The continued integration of GIS with other technologies like AI and IoT is expected to unlock new applications and further drive market growth. Challenges include the high initial investment costs for sophisticated GIS solutions, the need for skilled professionals to manage and interpret data, and ensuring data security and privacy. However, the benefits of improved decision-making, optimized resource allocation, and enhanced operational efficiency are expected to outweigh these challenges, contributing to the sustained expansion of the GIS Platform market throughout the forecast period. The market's future trajectory remains positive, fueled by technological advancements and the increasing reliance on location intelligence across various industries.

This dataset is GIS data representing waypoints and routes in the area of the Windmill Islands, Antarctica. The waypoint and route data held by the Australian Antarctic Data Centre is updated after each summer season using feedback provided by the Australian Antarctic Division's Field Training Officers with approval for changes given by the Australian Antarctic Division's Field Support Coordinator.

THIS ITEM IS PUBLIC AND READ ONLYThe Water Resources Inventory feature layer is a spatial inventory of miscellaneous point and line water related features on U.S. Fish and Wildlife Service lands. Management Actions and Maintenance related tables are included. This is a national authoritative data layer constructed by the NWRS Geospatial Advisory Committee assets sub-team based on the success of the Region 3 NWRS Water Resources Inventory dataset. This is a read-only, public AGOL View of FWS_Asset_Water_Resources_Inventory. Content can be added/edited by joining the FWS Asset Editing Group if a member of the FWS Organization. This public view only shows records that meet the following criteria:Record Status = "Valid"Public Viewable = "Yes"Data Set Contact: U.S. Fish and Wildlife Service Natural Resource Program Center, GIS Team Lead, richard_easterbrook@fws.govU.S. Fish and Wildlife Service Catalog (ServCat) Record - https://ecos.fws.gov/ServCat/Reference/Profile/154161For more information on the data that can be collected, see NWRS GAC FWS Assets sharepoint.

This GIS dataset shows the locations of fire hydrants at Davis Station. The data are formatted according to the SCAR Feature Catalogue (see Related URL below). Enter the Qinfo number of any feature at the 'Search datasets and quality' tab to search for data quality information about the feature: for example, the source of the data.

The datasets contain spatial locations in point format as a representation of embassies, high commissions and consulate facilities/missions in Australia.

This GIS dataset shows the locations of fire hydrants at Casey Station. The data are formatted according to the SCAR Feature Catalogue (see Related URL below). Enter the Qinfo number of any feature at the 'Search datasets and quality' tab to search for data quality information about the feature: for example, the source of the data.

A feature layer of Infrastructure projects identified by project leads responsible for maintenance and improvement of public infrastructure.

This point dataset contains the air traffic services centres in Australia.

The location where storm water is collected and received into the utility system.

The Australian Antarctic Data Centre's Mawson Station GIS data were originally mapped from March 1996 aerial photography. Refer to the metadata record 'Mawson Station GIS Dataset'. Since then various features have been added to this data as structures have been removed, moved or established. Some of these features have been surveyed. These surveys have metadata records from which the report describing the survey can be downloaded. However, other features have been 'eyed in' as more accurate data were not available. The eyeing in has been done based on advice from Australian Antarctic Division staff and using as a guide sources such as an aerial photograph, an Engineering plan, a map or a sketch. GPS data or measurements using a measuring tape may also have been used.

The data are included in the data available for download from a Related URL below. The data conform to the SCAR Feature Catalogue which includes data quality information. See a Related URL below. Data described by this metadata record has Dataset_id = 119. Each feature has a Qinfo number which, when entered at the 'Search datasets and quality' tab, provides data quality information for the feature.

Milepost locations for the Matanuska-Susitna Borough (MSB) roads (Infrastructure_Roads_MSB). GIS ESRI Shapefile. Preliminary locational information was collected by Alaska Department of Transportation (DOT). The remaining mileposts were gathered from historical mileposts datasets within MSB as well as calculated values to fill in any gaps within the milepost dataset. Milepost Data was downloaded from the Alaska Department of Transportation (DOT) on 05/02/2016. All milepost that were decimal (20.3) were removed from this layer as well as milepost that were derived for the divided Parks HWY and GLENN HWY.

The Geographic Information System (GIS) Analytics market is experiencing robust growth, projected to reach $15.10 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 12.41% from 2025 to 2033. This expansion is fueled by several key drivers. Increasing adoption of cloud-based GIS solutions enhances accessibility and scalability for diverse industries. The growing need for data-driven decision-making across sectors like retail, real estate, government, and telecommunications is a significant catalyst. Furthermore, advancements in artificial intelligence (AI) and machine learning (ML) integrated with GIS analytics are revolutionizing spatial data analysis, enabling more sophisticated predictive modeling and insightful interpretations. The market's segmentation reflects this broad adoption, with retail and real estate, government and utilities, and telecommunications representing key end-user segments, each leveraging GIS analytics for distinct applications such as location optimization, infrastructure management, and network planning. Competitive pressures are shaping the market landscape, with established players like Esri, Trimble, and Autodesk innovating alongside emerging tech companies focusing on AI and specialized solutions. The North American market currently holds a significant share, driven by early adoption and technological advancements. However, Asia-Pacific is expected to witness substantial growth due to rapid urbanization and increasing investment in infrastructure projects. Market restraints primarily involve the high cost of implementation and maintenance of advanced GIS analytics solutions and the need for skilled professionals to effectively utilize these technologies. However, the overall outlook remains extremely positive, driven by continuous technological innovation and escalating demand across multiple sectors. The future trajectory of the GIS analytics market hinges on several factors. Continued investment in research and development, especially in AI and ML integration, will be crucial for unlocking new possibilities. Furthermore, the simplification of GIS analytics software and the development of user-friendly interfaces will broaden accessibility beyond specialized technical experts. Growing data volumes from various sources (IoT, remote sensing) present both opportunities and challenges; efficient data management and analytics techniques will be paramount. The market's success also depends on addressing cybersecurity concerns related to sensitive geospatial data. Strong partnerships between technology providers and end-users will be vital in optimizing solution implementation and maximizing return on investment. Government initiatives promoting the use of GIS technology for smart city development and infrastructure planning will also play a significant role in market expansion. Overall, the GIS analytics market is poised for sustained growth, driven by technological advancements, increasing data availability, and heightened demand for location-based intelligence across a wide range of industries.

MassGIS created the layer from a list received in January 2025 from the MBLC of libraries that are members of the Massachusetts Library System (MLS). The list was cross-referenced to points in our Master Address Database to create this geospatial layer. This layer also includes a small subset of "special" libraries as categorized by the MBLC whose main function is to operate as a library. Many schools, hospitals, trial courts, law offices, historical societies, museums, private companies and other public and private institutions house libraries in addition to their primary operations. They are not included in this data layer. MassGIS has separate layers for some of these types of facilities. Search the MBLC Library Directory for more.More details...Map service also available.

This point GIS dataset shows the locations of the fire hydrants and fire hose reels at Mawson station, Antarctica.

The data are formatted according to the SCAR Feature Catalogue (see Related URL below). Enter the Qinfo number of any feature at the 'Search datasets and quality' tab to search for data quality information about the feature: for example, the source of the data.