100+ datasets found
  1. E

    Google Maps Statistics And Facts [2025]

    • electroiq.com
    Updated Mar 24, 2025
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    Electro IQ (2025). Google Maps Statistics And Facts [2025] [Dataset]. https://electroiq.com/stats/google-maps-statistics/
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    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Electro IQ
    License

    https://electroiq.com/privacy-policyhttps://electroiq.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Google Maps Statistics: Google Maps has changed how we used to navigate or explore the world. In 2024, it will most certainly become the ultimate mapping service, getting so much more than most other services and boasting so many more users. This article will discuss some of the Google Maps statistics its global coverage, technology achievements, and downloads.

  2. Most popular navigation apps in the U.S. 2023, by downloads

    • statista.com
    Updated Mar 4, 2024
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    Statista (2024). Most popular navigation apps in the U.S. 2023, by downloads [Dataset]. https://www.statista.com/statistics/865413/most-popular-us-mapping-apps-ranked-by-audience/
    Explore at:
    Dataset updated
    Mar 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, Google Maps was the most downloaded map and navigation app in the United States, despite being a standard pre-installed app on Android smartphones. Waze followed, with 9.89 million downloads in the examined period. The app, which comes with maps and the possibility to access information on traffic via users reports, was developed in 2006 by the homonymous Waze company, acquired by Google in 2013.

    Usage of navigation apps in the U.S. As of 2021, less than two in 10 U.S. adults were using a voice assistant in their cars, in order to place voice calls or follow voice directions to a destination. Navigation apps generally offer the possibility for users to download maps to access when offline. Native iOS app Apple Maps, which does not offer this possibility, was by far the navigation app with the highest data consumption, while Google-owned Waze used only 0.23 MB per 20 minutes.

    Usage of navigation apps worldwide In July 2022, Google Maps was the second most popular Google-owned mobile app, with 13.35 million downloads from global users during the examined month. In China, the Gaode Map app, which is operated along with other navigation services by the Alibaba owned AutoNavi, had approximately 730 million monthly active users as of September 2022.

  3. State Geologic Map Compilation – Geology

    • anrgeodata.vermont.gov
    • hub.arcgis.com
    Updated Jan 13, 2023
    + more versions
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    Esri U.S. Federal Datasets (2023). State Geologic Map Compilation – Geology [Dataset]. https://anrgeodata.vermont.gov/datasets/4d9fb5c0a6344407aec56f47a11482b5
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    Dataset updated
    Jan 13, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    State Geologic Map Compilation – GeologyThis feature layer, utilizing data from the U.S. Geological Survey, portrays the State Geologic Map Compilation (SGMC) geodatabase of the conterminous United States. The SGMC represents a seamless, spatial database of 48 State geologic maps. Per USGS, "A national digital geologic map database is essential in interpreting other datasets that support numerous types of national-scale studies and assessments, such as those that provide geochemistry, remote sensing, or geophysical data. The SGMC is a compilation of the individual USGS releases of the Preliminary Integrated Geologic Map Databases for the United States."SGMC: Cohansey FormationData currency: August 18, 2017Data source: The State Geologic Map Compilation (SGMC) Geodatabase of the Conterminous United States.Data modification: NoneFor more information: The State Geologic Map Compilation (SGMC) Geodatabase of the Conterminous United StatesFor feedback please contact: ArcGIScomNationalMaps@esri.comU.S. Geological SurveyPer USGS, "The USGS provides science about the natural hazards that threaten lives and livelihoods; the water, energy, minerals, and other natural resources we rely on; the health of our ecosystems and environment; and the impacts of climate and land-use change."

  4. State Geologic Map Compilation - Vector Tiles

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • colorado-river-portal.usgs.gov
    • +1more
    Updated Jun 19, 2018
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    Esri U.S. Federal Datasets (2018). State Geologic Map Compilation - Vector Tiles [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/8bda3f34abf84b60b26887f4160ff249
    Explore at:
    Dataset updated
    Jun 19, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    State Geologic Map Compilation - Vector TilesThis tile layer supports the State Geologic Map Compilation (SGMC) web map at small scales of the conterminous United States. Vector tile layers deliver map data as vector files and include one or more layers that are rendered on the client based on a style delivered with the layer. Per USGS, "A national digital geologic map database is essential in interpreting other datasets that support numerous types of national-scale studies and assessments, such as those that provide geochemistry, remote sensing, or geophysical data. The SGMC is a compilation of the individual USGS releases of the Preliminary Integrated Geologic Map Databases for the United States."State Geologic Map Compilation - Vector TilesData currency: June 30, 2017Data source: The State Geologic Map Compilation (SGMC) Geodatabase of the Conterminous United States.Data modification: NoneFor more information: The State Geologic Map Compilation (SGMC) Geodatabase of the Conterminous United StatesFor feedback please contact: ArcGIScomNationalMaps@esri.comU.S. Geological SurveyPer USGS, "The USGS provides science about the natural hazards that threaten lives and livelihoods; the water, energy, minerals, and other natural resources we rely on; the health of our ecosystems and environment; and the impacts of climate and land-use change."

  5. Internet users who accessed maps/navigation services on a smartphone in 2022...

    • statista.com
    Updated Apr 21, 2023
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    Statista (2023). Internet users who accessed maps/navigation services on a smartphone in 2022 [Dataset]. https://www.statista.com/statistics/479893/internet-users-who-accessed-maps-gps-on-smartphone-within-the-last-month-usa/
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    Dataset updated
    Apr 21, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic illustrates the share of internet users who used online maps / navigation services on a smartphone in the past 4 weeks in the United States in 2022, by age. The results were sorted by age. In 2022, some 39 percent of respondents aged 18 to 29 years stated they used online maps / navigation services on a smartphone in the past 4 weeks.

    The Statista Global Consumer Survey offers a global perspective on consumption and media usage, covering the offline und online world of the consumer.

  6. State Traffic Safety Information - STSI FARS Crash Data Map

    • catalog.data.gov
    • data.transportation.gov
    Updated May 1, 2024
    + more versions
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    National Highway Traffic Safety Administration (2024). State Traffic Safety Information - STSI FARS Crash Data Map [Dataset]. https://catalog.data.gov/dataset/state-traffic-safety-information-stsi-fars-crash-data-map
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    Dataset updated
    May 1, 2024
    Description

    The State Traffic Safety Information (STSI) portal is part of the larger Fatality Analysis Reporting System (FARS) Encyclopedia. STSI provides state-by-state traffic safety profiles, including: crash data, lives saved/savable, legislation, economic costs, grant funding, alcohol related crash data, performance measures, and geographic maps of crash data.

  7. d

    California State Waters Map Series--Offshore of Ventura Web Services

    • catalog.data.gov
    • dataone.org
    • +2more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). California State Waters Map Series--Offshore of Ventura Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-offshore-of-ventura-web-services
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Ventura, California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Ventura map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of Ventura map area data layers. Data layers are symbolized as shown on the associated map sheets.

  8. d

    California State Waters Map Series--Offshore of Point Conception Web...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). California State Waters Map Series--Offshore of Point Conception Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-offshore-of-point-conception-web-services
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Point Conception, California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Point Conception map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of Point Conception map area data layers. Data layers are symbolized as shown on the associated map sheets.

  9. c

    Northeastern States State Boundary Set

    • geodata.ct.gov
    • gimi9.com
    • +2more
    Updated Oct 30, 2019
    + more versions
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    Department of Energy & Environmental Protection (2019). Northeastern States State Boundary Set [Dataset]. https://geodata.ct.gov/maps/73de6773a9d64f77a1fac65bbaaf4323
    Explore at:
    Dataset updated
    Oct 30, 2019
    Dataset authored and provided by
    Department of Energy & Environmental Protection
    License

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

    Area covered
    Description

    Northeastern United States State Boundary data are intended for geographic display of state boundaries at statewide and regional levels. Use it to map and label states on a map. These data are derived from Northeastern United States Political Boundary Master layer. This information should be displayed and analyzed at scales appropriate for 1:24,000-scale data. The State of Connecticut, Department of Environmental Protection (CTDEP) assembled this regional data layer using data from other states in order to create a single, seamless representation of political boundaries within the vicinity of Connecticut that could be easily incorporated into mapping applications as background information. More accurate and up-to-date information may be available from individual State government Geographic Information System (GIS) offices. Not intended for maps printed at map scales greater or more detailed than 1:24,000 scale (1 inch = 2,000 feet.)

  10. Global market size of HD mapping for autonomous vehicles 2020 & 2028

    • statista.com
    Updated Apr 27, 2021
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    Statista (2021). Global market size of HD mapping for autonomous vehicles 2020 & 2028 [Dataset]. https://www.statista.com/statistics/565809/global-market-size-for-mapping-in-vehicles/
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    Dataset updated
    Apr 27, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Worldwide
    Description

    The global HD maps for autonomous vehicles market was sized at almost 1.6 billion U.S. dollars in 2020. It is forecast that in 2028, the market will surpass the size of 16.5 billion U.S. dollars, growing at a steady CAGR of around 34 percent.

  11. MDOT SHA County Flood Statistics Maps

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.imap.maryland.gov
    • +1more
    Updated Oct 22, 2021
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    ArcGIS Online for Maryland (2021). MDOT SHA County Flood Statistics Maps [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/maryland::mdot-sha-county-flood-statistics-maps/about
    Explore at:
    Dataset updated
    Oct 22, 2021
    Dataset provided by
    Authors
    ArcGIS Online for Maryland
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Esri ArcGIS Online (AGOL) Feature Layer which provides access to the MDOT SHA County Flood Statistics MapsMDOT SHA County Flood Statistics Maps data consists of polygon geometric features which represent the geographic extent of each Maryland County with an available MDOT SHA County Flood Statistics Map. Users of this layer should consume the URL contained within each pop-up to access the MDOT SHA County Flood Statistics Map.MDOT SHA County Flood Statistics Maps data is owned & maintained by the MDOT SHA OPPE Innovative Planning & Performance Division (IPPD).For more information related to the maps, contact MDOT SHA OPPE Innovative Planning & Performance Division (IPPD):Email: IPPD@mdot.maryland.govFor more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

  12. O

    CT Vicinity State Lines

    • data.ct.gov
    • deepmaps.ct.gov
    • +3more
    application/rdfxml +5
    Updated Jan 29, 2025
    + more versions
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    Department of Energy and Environmental Protection (2025). CT Vicinity State Lines [Dataset]. https://data.ct.gov/Environment-and-Natural-Resources/CT-Vicinity-State-Lines/gyy4-5wqk
    Explore at:
    csv, application/rssxml, tsv, json, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Jan 29, 2025
    Dataset authored and provided by
    Department of Energy and Environmental Protection
    Area covered
    Connecticut
    Description

    Connecticut and Vicinity State Boundary data are intended for geographic display of state boundaries at statewide and regional levels. Use it to map and label states on a map. These data are derived from Northeastern United States Political Boundary Master layer. This information should be displayed and analyzed at scales appropriate for 1:24,000-scale data. The State of Connecticut, Department of Environmental Protection (CTDEP) assembled this regional data layer using data from other states in order to create a single, seamless representation of political boundaries within the vicinity of Connecticut that could be easily incorporated into mapping applications as background information. More accurate and up-to-date information may be available from individual State government Geographic Information System (GIS) offices. Not intended for maps printed at map scales greater or more detailed than 1:24,000 scale (1 inch = 2,000 feet.)

  13. 2021 Census - Thematic maps

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    html, pdf
    Updated Apr 13, 2022
    + more versions
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    Statistics Canada (2022). 2021 Census - Thematic maps [Dataset]. https://open.canada.ca/data/dataset/747c744f-53a1-45f4-bba2-6181454e5b0d
    Explore at:
    html, pdfAvailable download formats
    Dataset updated
    Apr 13, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    A thematic map shows the spatial distribution of one or more specific data themes for standard geographic areas. Thematic maps include: Population Age Income Language of work Instruction in the official minority language

  14. Geographic Distribution of VA Expenditures State Map

    • catalog.data.gov
    • datahub.va.gov
    • +3more
    Updated May 1, 2021
    + more versions
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    Department of Veterans Affairs (2021). Geographic Distribution of VA Expenditures State Map [Dataset]. https://catalog.data.gov/dataset/geographic-distribution-of-va-expenditures-state-map
    Explore at:
    Dataset updated
    May 1, 2021
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    This map presents a visual portrayal of the state level data contained in the Geographic Distribution of VA Expenditures report.

  15. Internet usage: route planning and road maps (e.g. Google Maps) in Germany...

    • statista.com
    Updated Nov 10, 2016
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    Statista (2016). Internet usage: route planning and road maps (e.g. Google Maps) in Germany 2013-2016 [Dataset]. https://www.statista.com/statistics/432169/online-route-planning-and-map-usage-eg-google-maps-germany/
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    Dataset updated
    Nov 10, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    This statistic shows the results of a survey on the usage of the internet for route planning, maps and road maps (e.g. Google Maps) in Germany from 2013 to 2016. In 2016, there were about 13.67 million people among the German-speaking population aged 14 years and older, who frequently used the internet to plan routes or to access maps and road maps.

  16. 2021 Census - Reference maps

    • ouvert.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    pdf
    Updated Apr 13, 2022
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    Statistics Canada (2022). 2021 Census - Reference maps [Dataset]. https://ouvert.canada.ca/data/dataset/d8b89e72-dd02-40b2-a74d-f0235635314e
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    pdfAvailable download formats
    Dataset updated
    Apr 13, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Reference maps illustrate the location of census standard geographic areas for which census statistical data are tabulated and disseminated. The maps display the boundaries, names and unique identifiers of standard geographic areas, as well as physical features such as streets, railroads, coastlines, rivers and lakes. Reference maps include: Standard Geographical Classification (SGC) Census tracts Federal electoral districts

  17. d

    Topography - State Refence Map - ARC

    • data.gov.au
    • researchdata.edu.au
    • +2more
    zip
    Updated Apr 13, 2022
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    Bioregional Assessment Program (2022). Topography - State Refence Map - ARC [Dataset]. https://data.gov.au/data/dataset/b6f2d7af-7fbb-4bf5-9051-b725d51b270a
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    zipAvailable download formats
    Dataset updated
    Apr 13, 2022
    Dataset authored and provided by
    Bioregional Assessment Program
    License

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

    Description

    Abstract

    This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

    Dataset contains framework layers compiled for representation on state reference map, scale 1:1.5 million. Line and polygon features only. Road, rail, waterbody and watercourse themes included. State coastline not included.

    Purpose

    Can be used as a framework layer for whole of state mapping or for a generalised framework for regional mapping. Not suitable for analysis.

    Dataset History

    Information was compiled and digitised in generalised form from 1:250 000 scale hard copy maps. The individual CAD files were combined into seamless form and converted to Lambert Conformal Conic projection, standard parallels 29 degrees and 35 degrees S, central meridian 135 degrees E. Subsequently the information was converted to GIS format and re-projected to the state standard LCC projection.

    Dataset Citation

    SA Department of Environment, Water and Natural Resources (2015) Topography - State Refence Map - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/b6f2d7af-7fbb-4bf5-9051-b725d51b270a.

  18. Cuba: Maps and hydrographic or similar charts; printed in book form,...

    • app.indexbox.io
    Updated Jan 15, 2025
    + more versions
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    IndexBox AI Platform (2025). Cuba: Maps and hydrographic or similar charts; printed in book form, including atlases, topographical plans and similar articles 2019-2025 [Dataset]. https://app.indexbox.io/table/490591/192/monthly/
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox AI Platform
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2019 - Dec 31, 2025
    Area covered
    Cuba
    Description

    Statistics illustrates consumption, production, prices, and trade of Maps and hydrographic or similar charts; printed in book form, including atlases, topographical plans and similar articles in Cuba from Jan 2019 to Jan 2025.

  19. d

    Data from: California State Waters Map Series--Offshore of Tomales Point Web...

    • catalog.data.gov
    • search.dataone.org
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). California State Waters Map Series--Offshore of Tomales Point Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-offshore-of-tomales-point-web-services
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Tomales Point map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of Tomales Point map area data layers. Data layers are symbolized as shown on the associated map sheets.

  20. a

    State Survey Boundary

    • gis.data.alaska.gov
    • data-soa-dnr.opendata.arcgis.com
    • +1more
    Updated Apr 5, 2006
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    Alaska Department of Natural Resources ArcGIS Online (2006). State Survey Boundary [Dataset]. https://gis.data.alaska.gov/maps/826cb7b69c08497ebe22a1f88efd572e
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    Dataset updated
    Apr 5, 2006
    Dataset authored and provided by
    Alaska Department of Natural Resources ArcGIS Online
    Area covered
    Description

    Alaska Survey Boundary contains miscellaneous state, federal, and private surveys.

    This shape file characterizes the geographic representation of land parcels within the State of Alaska contained by the Base - Survey Boundary category. It has been extracted from data sets used to produce the State status plats. This data set includes cases noted on the digital status plats up to one day prior to data extraction.

    Each state survey feature has an associated attribute record, including a Land Administration System (LAS) file-type and file-number which serves as an index to related LAS case-file information. Additional LAS case-file and customer information may be obtained at: http://dnr.alaska.gov/projects/las/ Those requiring more information regarding State land records should contact the Alaska Department of Natural Resources Public Information Center directly.

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Electro IQ (2025). Google Maps Statistics And Facts [2025] [Dataset]. https://electroiq.com/stats/google-maps-statistics/

Google Maps Statistics And Facts [2025]

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Dataset updated
Mar 24, 2025
Dataset authored and provided by
Electro IQ
License

https://electroiq.com/privacy-policyhttps://electroiq.com/privacy-policy

Time period covered
2022 - 2032
Area covered
Global
Description

Introduction

Google Maps Statistics: Google Maps has changed how we used to navigate or explore the world. In 2024, it will most certainly become the ultimate mapping service, getting so much more than most other services and boasting so many more users. This article will discuss some of the Google Maps statistics its global coverage, technology achievements, and downloads.

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