This map supports a story map application developed for UDOT Planning for the review of the corridor planning process. This web map compiles static layers created based on information sent by UDOT Planning as well as dynamic layers developed by UDOT GIS. The static data in this map does not have a refresh cycle and is current as of 7/13/2016. Additional information about the UDOT served layers can be found by searching UPlan.

Explore the dynamic Digital Map Service market, revealing key insights, growth drivers, and future trends for industries like transportation, automotive, and smart cities. Discover market size and CAGR projections.

This article introduces the Mapping Attitudes, Perceptions and Support (MAPS) dataset, which provides rich survey data from more than 12,000 respondents in Colombia. Our panel survey – carried out in two separate waves in 2019 and 2021 – is representative at the level of each ‘Program for Development with a Territorial Focus’ (PDET, for its acronym in Spanish), the most war-affected regions and those targeted for peace agreement implementation. We describe the sample and compare support for the peace agreement in MAPS to other recent surveys in Colombia, showing how MAPS reveals regional variation obscured in nationally representative surveys. Regression analyses illustrate how the panel data allow us to explore how and why people’s perceptions of the agreement shift over time. The MAPS data will enable scholars to gain insights into the microfoundations of peacebuilding over time and across space.

This dataset details the potential locations for future beneficial use of dredged material within the South marine plan area. Records have been digitised for specific stretches of coast in the South marine plan area from analysis of the SMPs, SSSI condition lists and CCO coastal squeeze analysis. Data outputs from the MMO 1073 project. The aim of this project is to develop data and maps to describe existing sites of coastal works (replenishment, defence, creation), and future sites of requirement and opportunity in the South marine plan areas. The evidence gathered will assist with developing text or a policy and supporting map for the South marine plans that promotes holistic, integrated and sustainable management of the marine area.

Purpose:This web map supports the SR-258 & 118 Corridor Study storymap. Linework has been styled using Classic Map Viewer. The study and storymap were created by WCG with Kyle Horton as the lead and Ryan Anderson as the Project Manager. The storymap and supporting content were transferred ownership to UDOT Region 4 GIS on 9/28/2025.Go Live Date:12/30/2021 Project PIN: 19528 ePM Project Name:SR-258 & SR-118; Corridor Vision & Access Study Owner: Bracken Davis (udotgisr4@utah.gov) Update Interval:Data is not updated. It is static from the time of the study. When a project is created based on information from the study the project information will be added manually to indicate that a project has been started. Support Layers:SR 258 and SR 118 Linework feature layerSevier County TMP Future Roads feature layerElsinore_Town_Data feature layerSR 258 and SR 118 Corridor Study Turning Movement Volumes feature layerSR 258 and SR 118 Study Roadway Links feature layerSR-258 & SR-118 Corridor Study Proximity of Existing Accesses feature layerSR 258 and SR 118 Corridor Study Zoning feature layerusRAP feature layerSR-258 & SR-118 Corridor Study Limits feature layerSR 258 and SR 118 Future Roadways feature layerExisting AT Facilities Service feature layerAssociated Apps:SR-258 & SR-118 Corridor Study storymap Expected Life of Data:This storymap will remain active and publicly available until all projects related to this study are completed, at which time the study will be archived.

This map supports several story maps of performance measures. This is a proof-of-concept effort that is in draft form.

The Digital Bedrock Geologic-GIS Map of the Saint-Gaudens National Historical Park and Vicinity, New Hampshire is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (saga_bedrock_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (saga_bedrock_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (saga_bedrock_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (saga_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (saga_bedrock_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (saga_bedrock_geology_metadata_faq.pdf). Please read the saga_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. 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). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: 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 (saga_bedrock_geology_metadata.txt or saga_bedrock_geology_metadata_faq.pdf). 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 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 Google Earth, ArcGIS, QGIS 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: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The USGS Transportation service from The National Map (TNM) is based on TIGER/Line data provided through U.S. Census Bureau and road data from U.S. Forest Service. Some of the TIGER/Line data includes limited corrections done by USGS. Transportation data consists of roads, railroads, trails, airports, and other features associated with the transport of people or commerce. The data include the name or route designator, classification, and location. Transportation data support general mapping and geographic information system technology analysis for applications such as traffic safety, congestion mitigation, disaster planning, and emergency response. The National Map transportation data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and structures, to produce general reference base maps. The National Map Download Client allows free downloads of public domain transportation data in either Esri File Geodatabase or Shapefile formats. For additional information on the transportation data model, go to https://nationalmap.gov/transport.html.

The Digital Geologic-GIS Map of Mount Rainier National Park, Washington is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (mora_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (mora_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (mora_geology.gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (mora_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (mora_geology_metadata_faq.pdf). Please read the mora_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: http://www.google.com/earth/index.html. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. 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). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: 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 (mora_geology_metadata.txt or mora_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet 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 Google Earth, ArcGIS, QGIS 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: https://www.nps.gov/articles/gri-geodatabase-model.htm). The GIS data projection is NAD83, UTM Zone 10N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth.

This dataset is part of a dataset series that establishes an ecosystem service maps (national scale) for a set of services prioritised through stakeholder consultation and any intermediate layers created by Environment Systems Ltd in the cause of the project. The individual dataset resources in the datasets series are to be considered in conjunction with the project report: https://www.npws.ie/research-projects/ecosystems-services-mapping-and-assessment The project provides a National Ecosystem and Ecosystem Services (ES) map for a suite of prioritised services to assist implementation of MAES (Mapping and Assessment of Ecosystems and their services) in Ireland. This involves stakeholder consultation for identification of services to be mapped, the development of a list of indicators and proxies for mapping, as well as an assessment of limitations to ES mapping on differing scales (Local, Catchment, Region, National, EU) based on data availability. Reporting on data gaps forms part of the project outputs. The project relied on the usage of pre-existing data, which was also utilised to create intermediate data layers to aid in ES mapping. For a full list of the data used throughout the project workings, please refer to the project report. .hidden { display: none } Public Dashboards No dashboard exists for this dataset.

This is the starter Data Set for the Explore & Collaborate Project.The aim of this project is to set up a methodology and opensource Geo-data base for cities and villages to exploit so that they can draft their Climate Action Plans.The key data source is the Social Progress Index and the IPCC's Climate Risk Layers which will be sourced, modeled and uploaded to the geo-data base hosted by the Society for Conservation and GIS, the SCGIS on the Mapping a good life for all within planetary boundaries web map.Please join the SCGIS, to get a free ArcGIS Online Account and access to all the layers used in the web map.

National Ecosystem and Ecosystem Services Map – Supporting Ecosystem Service Information: Contribution to the grassland network. Published by Department of Housing, Local Government and Heritage. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).This dataset contains a raster dataset showing areas' contributing to the grassland network, including how important the area is for the network (based on habitat type and proximity to the next core area).

This dataset is part of a dataset series that establishes an ecosystem service maps (national scale) for a set of services prioritised through stakeholder consultation and any intermediate layers created by Environment Systems Ltd in the cause of the project. The individual dataset resources in the datasets series are to be considered in conjunction with the project report: https://www.npws.ie/research-projects/ecosystems-services-mapping-and-assessment

The project provides a National Ecosystem and Ecosystem Services (ES) map for a suite of prioritised services to assist implementation of MAES (Mapping and Assessment of Ecosystems and their services) in Ireland.

This involves stakeholder consultation for identification of services to be mapped, the development of a list of indicators and proxies for mapping, as well as an assessment of limitations to ES mapping on differing scales (Local, Catchment, Region, National, EU) based on data availability. Reporting on data gaps forms part of the project outputs.

The project relied on the usage of pre-existing data, which was also utilised to create intermediate data layers to aid in ES mapping. For a full list of the data used throughout the project workings, please refer to the project report....

Web map tile service (WMTS), which enables viewing of cadastral map both in digital and analogue form. Data are provided in a form of map tiles in WGS84/Pseudo-Mercator coordinate reference system. A Google Maps compatible scale set is used. The service fulfills the OGC WMTS 1.0.0 standard. The service is publicly available, free-of-charge and covers the whole territory of the Czech Republic. All layers except overview map are provided in levels 17 (1 : 4 265) to 25 (1 : 16).

This site provides free access to Iowa geographic map data through an on-line map viewer and through Web Map Service (WMS) connections for GIS. The site was developed by the Iowa State University Geographic Information Systems Support and Research Facility in cooperation with the Iowa Department of Natural Resources, the USDA Natural Resources Conservation Service, and the Massachusetts Institute of Technology. This site was first launched in March 1999. Resources in this dataset:Resource Title: Iowa Geographic Map Server. File Name: Web Page, url: http://ortho.gis.iastate.edu/#MapLayers Online access to Iowa geographic map data through an on-line map viewer and through Web Map Service (WMS) connections for GIS, as well as a full featured ArcGIS web app.

National Ecosystem and Ecosystem Services Map – Supporting Ecosystem Service Information: Habitat Asset Register. Published by Department of Housing, Local Government and Heritage. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).This dataset contains a habitat asset register for Ireland, e.g. a national scale habitat map conflating all nationally relevant habitat data into one dataset.

This dataset is part of a dataset series that establishes an ecosystem service maps (national scale) for a set of services prioritised through stakeholder consultation and any intermediate layers created by Environment Systems Ltd in the cause of the project. The individual dataset resources in the datasets series are to be considered in conjunction with the project report: https://www.npws.ie/research-projects/ecosystems-services-mapping-and-assessment

The project provides a National Ecosystem and Ecosystem Services (ES) map for a suite of prioritised services to assist implementation of MAES (Mapping and Assessment of Ecosystems and their services) in Ireland.

This involves stakeholder consultation for identification of services to be mapped, the development of a list of indicators and proxies for mapping, as well as an assessment of limitations to ES mapping on differing scales (Local, Catchment, Region, National, EU) based on data availability. Reporting on data gaps forms part of the project outputs.

The project relied on the usage of pre-existing data, which was also utilised to create intermediate data layers to aid in ES mapping. For a full list of the data used throughout the project workings, please refer to the project report....

Discover the booming cloud-based mapping service market! Explore key trends, drivers, and restraints impacting this $15 billion (2025 est.) industry, featuring analysis of connected ADAS, automated driving, and regional growth projections through 2033. Learn about leading companies and future market opportunities.

ECM Community Support Services tables for a Quarterly Implementation Report. Including the County and Plan Details for both ECM and Community Support.This Medi-Cal Enhanced Care Management (ECM) and Community Supports Calendar Year Quarterly Implementation Report provides a comprehensive overview of ECM and Community Supports implementation in the programs' first year. It includes data at the state, county, and plan levels on total members served, utilization, and provider networks.ECM is a statewide MCP benefit that provides person-centered, community-based care management to the highest need members. The Department of Health Care Services (DHCS) and its MCP partners began implementing ECM in phases by Populations of Focus (POFs), with the first three POFs launching statewide in CY 2022.Community Supports are services that address members’ health-related social needs and help them avoid higher, costlier levels of care. Although it is optional for MCPs to offer these services, every Medi-Cal MCP offered Community Supports in 2022, and at least two Community Supports services were offered and available in every county by the end of the year.

TIGERweb allows the viewing of TIGER spatial data online and for TIGER data to be streamed to your mapping application. TIGERweb consists of a web mapping service and a REST service.

   Thew web mapping service is an Open Geospatial Consortium (OGC) service that allows users to visualize our TIGER
   (Topologically Integrated Geographic Encoding and Referencing database) data. This service consists of two
   applications and eight services. The applications allow users to select features and view their attributes, to search
   for features by name or geocode, and to identify features by selecting them from a map. The TIGERweb applications are a
   simple way to view our TIGER data without having to download the data. The web Mapping services provide a simple HTTP
   interface for requesting geo-registered map images from our geospatial database. It allows users to
   produce maps containing TIGERweb layers with layers from other servers. TIGERweb consists of
   the following two applications and eight services: 
   Applications: TIGERweb, TIGERweb Decennial
   Services: Current, ACS16, ACS15, ACS14, ACS13, Econ12, Census 2010 (for the TIGERweb application), Physical Features (for the TIGERweb application),
   Census 2010 (for the TIGERweb Decennial application), Census 2000 and Physical Features (for the TIGERweb Decennial application)

   The REST service is a way for Web clients to communicate with geographic information system (GIS) servers through Representational
   State Transfer (REST) technology. It allows users to interface with the REST server with structured URLs using a computer language like PYTHON or JAVA. The
   server responds with map images, text-based geographic information, or other resources that satisfy the request. There are three groups of services: 
   TIGERweb, TIGERweb Generalized and TIGERweb Decennial. TIGERweb consists of boundaries as of January 1, 2016 while TIGERweb Decennial consists of boundaries
   as they were of January 1, 2010. TIGERweb Generalized is specifically designed for small-scale thematic mapping.

   The following REST services are offered for both groups:
   American Indian, Alaska Native, and Native Hawaiian Areas
   Census Regions and Divisions
   Census Tracts and Blocks
   Legislative Areas 
   Metropolitan and Micropolitan Statistical Areas and Related Statistical Areas
   Places and County Subdivisions
   PUMAs, UGAs and ZCTAs
   School Districts
   States and Counties
   Urban Areas 

   The following services are only offered in TIGERweb and TIGERweb Decennial:
    Hydrography 
    Labels
    Military and Other Special Land Use Areas
    Transportation (Roads and Railroads)
    Tribal Census Tracts and Block Groups

   The following services is only offered in TIGERweb Generalized: 
    Places and County Subdivisions (Economic Places)

Comprehensive dataset containing 25 verified Mapping service businesses in Tennessee, United States with complete contact information, ratings, reviews, and location data.

Equipment GIS Mapping for Facilities Market Outlook

According to our latest research, the global Equipment GIS Mapping for Facilities market size reached USD 3.1 billion in 2024, reflecting robust expansion driven by digital transformation across facility management sectors. The market is experiencing a healthy growth trajectory, with a projected CAGR of 10.7% from 2025 to 2033. By the end of 2033, the market is forecasted to attain a value of USD 7.7 billion. This significant growth is attributed to the rising need for real-time spatial intelligence, enhanced asset management, and the integration of advanced geospatial technologies within various facility types. As organizations increasingly prioritize operational efficiency and data-driven decision-making, the adoption of GIS mapping solutions for facilities is expected to accelerate across diverse end-user verticals.

The primary growth factor fueling the Equipment GIS Mapping for Facilities market is the intensifying demand for integrated asset management and space optimization across both public and private sectors. Facility managers are under mounting pressure to maximize resource utilization, reduce operational costs, and ensure regulatory compliance. GIS mapping platforms provide a comprehensive, visualized inventory of assets, infrastructure, and spatial layouts, enabling data-driven planning and real-time monitoring. The ability to overlay facility data with geographic information empowers stakeholders to proactively manage maintenance schedules, rapidly locate equipment, and streamline emergency response. As a result, industries such as healthcare, education, government, and commercial real estate are increasingly investing in GIS mapping solutions to elevate their facility management practices.

Another significant driver is the rapid technological advancements in GIS software and hardware, coupled with the proliferation of cloud-based deployment models. Modern GIS solutions now offer robust integration capabilities with IoT devices, building management systems, and enterprise resource planning platforms. This seamless interoperability allows for the aggregation and analysis of vast datasets, supporting predictive analytics and automation. The shift towards cloud deployment is particularly notable, as it reduces upfront infrastructure costs, enhances scalability, and facilitates remote access to facility data. These innovations are making GIS mapping tools more accessible and cost-effective for organizations of all sizes, further propelling market growth.

Furthermore, the growing emphasis on sustainability, security, and emergency preparedness is amplifying the adoption of GIS mapping for facilities. Organizations are leveraging GIS to monitor energy consumption, optimize space usage, and implement green building initiatives. In addition, GIS mapping supports comprehensive security and emergency planning by providing real-time visualization of facility layouts, evacuation routes, and critical infrastructure. This holistic approach to facility management not only enhances occupant safety but also aligns with broader ESG (Environmental, Social, and Governance) goals. The convergence of these trends is expected to sustain the upward momentum of the Equipment GIS Mapping for Facilities market over the forecast period.

Regionally, North America dominates the Equipment GIS Mapping for Facilities market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The market in North America is characterized by early technology adoption, a mature facility management ecosystem, and significant investments in smart building initiatives. Europe is witnessing steady growth, driven by stringent regulatory requirements and a strong focus on sustainability. Meanwhile, Asia Pacific is emerging as a high-growth region, fueled by rapid urbanization, infrastructure development, and increasing awareness of GIS benefits. Latin America and the Middle East & Africa are also showing promising potential, albeit at a more nascent stage, as governments and enterprises gradually recognize the value of spatial intelligence in facility management.