12 datasets found
  1. Digital Geologic-GIS Map of Grant's Headquarters at City Point, Petersburg...

    • catalog.data.gov
    Updated Sep 26, 2025
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    National Park Service (2025). Digital Geologic-GIS Map of Grant's Headquarters at City Point, Petersburg National Battlefield, Virginia (NPS, GRD, GRI, PETE, CIPO digital map) adapted from a U.S. Geological Survey Bulletin map by Dischinger (1987) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-grants-headquarters-at-city-point-petersburg-national-battlefi
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    Dataset updated
    Sep 26, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    The Digital Geologic-GIS Map of Grant's Headquarters at City Point, Petersburg National Battlefield, Virginia 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 (cipo_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 (cipo_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 (cipo_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.) A GIS readme file (pete_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (pete_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 (cipo_geology_metadata_faq.pdf). Please read the pete_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 (cipo_geology_metadata.txt or cipo_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).

  2. a

    City Limits St. Petersburg

    • geohub-csp.opendata.arcgis.com
    Updated Dec 31, 2018
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    City of St. Petersburg, Florida (2018). City Limits St. Petersburg [Dataset]. https://geohub-csp.opendata.arcgis.com/datasets/CSP::city-limits-st-petersburg/about
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    Dataset updated
    Dec 31, 2018
    Dataset authored and provided by
    City of St. Petersburg, Florida
    Area covered
    Description

    City of St. Petersburg, FL City Limits Boundary

  3. a

    City Council Districts

    • geohub-csp.opendata.arcgis.com
    • hub.arcgis.com
    Updated Dec 31, 2018
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    City of St. Petersburg, Florida (2018). City Council Districts [Dataset]. https://geohub-csp.opendata.arcgis.com/datasets/city-council-districts/geoservice
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    Dataset updated
    Dec 31, 2018
    Dataset authored and provided by
    City of St. Petersburg, Florida
    Area covered
    Description

    City of St. Petersburg, FL City Council District Boundaries

  4. a

    Business Districts

    • geohub-csp.opendata.arcgis.com
    Updated Jan 17, 2019
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    City of St. Petersburg, Florida (2019). Business Districts [Dataset]. https://geohub-csp.opendata.arcgis.com/maps/business-districts
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    Dataset updated
    Jan 17, 2019
    Dataset authored and provided by
    City of St. Petersburg, Florida
    Area covered
    Description

    City of St. Petersburg, FL Business Districts

  5. a

    Data from: Neighborhood Associations

    • geohub-csp.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jul 5, 2017
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    City of St. Petersburg, Florida (2017). Neighborhood Associations [Dataset]. https://geohub-csp.opendata.arcgis.com/datasets/neighborhood-associations
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    Dataset updated
    Jul 5, 2017
    Dataset authored and provided by
    City of St. Petersburg, Florida
    Area covered
    Description

    City of St. Petersburg, FL Active Neighborhood Associations

  6. a

    Streets

    • geohub-csp.opendata.arcgis.com
    Updated Sep 6, 2025
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    City of St. Petersburg, Florida (2025). Streets [Dataset]. https://geohub-csp.opendata.arcgis.com/datasets/streets/data
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    Dataset updated
    Sep 6, 2025
    Dataset authored and provided by
    City of St. Petersburg, Florida
    Area covered
    Description

    Streets inventory in City of St. Petersburg

  7. a

    Future Land Use

    • geohub-csp.opendata.arcgis.com
    Updated Dec 31, 2018
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    City of St. Petersburg, Florida (2018). Future Land Use [Dataset]. https://geohub-csp.opendata.arcgis.com/items/fc2c2b08f8f04c939d7b63a10f60c0ad
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    Dataset updated
    Dec 31, 2018
    Dataset authored and provided by
    City of St. Petersburg, Florida
    Area covered
    Description

    City of St. Petersburg, FL Future Land Use

  8. a

    Parks

    • hub.arcgis.com
    • geohub-csp.opendata.arcgis.com
    Updated Dec 31, 2018
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    City of St. Petersburg, Florida (2018). Parks [Dataset]. https://hub.arcgis.com/maps/CSP::parks
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    Dataset updated
    Dec 31, 2018
    Dataset authored and provided by
    City of St. Petersburg, Florida
    Area covered
    Description

    City of St. Petersburg, FL Parks Data

  9. a

    Data from: Zoning Districts

    • hub.arcgis.com
    • geohub-csp.opendata.arcgis.com
    Updated Dec 31, 2018
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    City of St. Petersburg, Florida (2018). Zoning Districts [Dataset]. https://hub.arcgis.com/datasets/b24af4c072874264826daba9a08ecbfc
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    Dataset updated
    Dec 31, 2018
    Dataset authored and provided by
    City of St. Petersburg, Florida
    Area covered
    Description

    City of St. Petersburg, FL Zoning Districts

  10. a

    Model Borough Map

    • egrants-hub-dcced.hub.arcgis.com
    • gis.data.alaska.gov
    • +5more
    Updated Dec 5, 2018
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    Dept. of Commerce, Community, & Economic Development (2018). Model Borough Map [Dataset]. https://egrants-hub-dcced.hub.arcgis.com/documents/16c94f0ee1e54a10b2cc8c43ad61f6d6
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    Dataset updated
    Dec 5, 2018
    Dataset authored and provided by
    Dept. of Commerce, Community, & Economic Development
    Description

    Borough Boundaries Map Based on Model Borough Study that was updated in 1997. Minor modifications to reflect the incorporation of Petersburg Borough and City and Borough of Wrangell.

  11. a

    Sidewalks

    • geohub-csp.opendata.arcgis.com
    Updated Sep 6, 2025
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    City of St. Petersburg, Florida (2025). Sidewalks [Dataset]. https://geohub-csp.opendata.arcgis.com/items/f52c48737a9f4fa9b61c12dac8f980fe
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    Dataset updated
    Sep 6, 2025
    Dataset authored and provided by
    City of St. Petersburg, Florida
    Area covered
    Description

    Sidewalks in City of St. Petersburg

  12. a

    HI-Level 5 Map

    • noaa.hub.arcgis.com
    Updated Jul 17, 2025
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    NOAA GeoPlatform (2025). HI-Level 5 Map [Dataset]. https://noaa.hub.arcgis.com/maps/6c1d560ce4c24814affaf031426184e2
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    Dataset updated
    Jul 17, 2025
    Dataset authored and provided by
    NOAA GeoPlatform
    License

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

    Area covered
    Description

    Heat islands are areas where temperatures are unnaturally high - usually due to dense buildings, expansive hard surfaces, or a lack of tree cover or greenspace. People living in these communities are exposed to more dangerous conditions, especially as daytime high and nighttime low temperatures increase over time. NOAA Climate Program Office and CAPA Strategies have partnered with cities around the United States to map urban heat islands. Using Sentinel-2 satellite thermal data along with on-the-ground sensors, air temperature and heat indexes are calculated for morning, afternoon, and evening time periods. The NOAA Visualization Lab, part of the NOAA Satellite and Information Service, has made the original heat mapping data available as dynamic image services. Dataset SummaryPhenomenon Mapped: air temperatureUnits: degrees Fahrenheit Cell Size: 30 metersPixel Type: 32 bit floating pointData Coordinate Systems: WGS84 Mosaic Projection: WGS84 Extent: cities within the United StatesSource: NOAA and CAPA StrategiesPublication Date: September 20, 2021 What can you do with this layer?This imagery layer supports communities' UHI spatial analysis and mapping capabilities. The symbology can be manually changed, or a processing template applied to the layer will provide a custom rendering. Each city can be queried. Related layers include Morning Air Temperature and Evening Air Temperature. Cities IncludedBoulder, CO Brooklyn, NY Greenwich Village, NY Columbia, SC Columbia, MO Columbus, OH Knoxville, TN Jacksonville, FL Las Vegas, NV Milwaukee, WI Nashville, TN Omaha, NE Philadelphia, PA Rockville, MD Gaithersburg, MD Takoma Park, MD San Francisco, CA Spokane, WA Abingdon, VA Albuquerque, NM Arlington, MA Woburn, MA Arlington, VA Atlanta, GA Charleston, SC Charlottesville, VA Clarksville, IN Farmville, VA Gresham, OR Harrisonburg, VA Kansas City, MO Lynchburg, VA Manhattan, NY Bronx, NY Newark, NJ Jersey City, NJ Elizabeth, NJ Petersburg, VA Raleigh, NC Durham, NC Richmond, VA Richmond, IN Salem, VA San Diego, CA Virginia Beach, VA Winchester, VA Austin, TX Burlington, VT Cincinnati, OH Detroit, MI El Paso, TX Houston, TX Jackson, MS Las Cruces, NM Miami, FL New Orleans, LA Providence, RI Roanoke, VA San Jose, CA Seattle, WA Vancouver, BC Canada Boston, MA Fort Lauderdale, FL Honolulu, HI Boise, ID Nampa, ID Los Angeles, CA Yonkers, NY Oakland, CA Berkeley, CA San Juan, PR Sacramento, CA San Bernardino, CA Victorville, CA West Palm Beach, FL Worcester, MA Washington, D.C. Baltimore, MD Portland, OR Cities may apply to be a part of the Heat Watch program through the CAPA Strategies website. Attribute Table Informationcity_name: Afternoon Air Temperature Observations in Floating-Point (°F)

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National Park Service (2025). Digital Geologic-GIS Map of Grant's Headquarters at City Point, Petersburg National Battlefield, Virginia (NPS, GRD, GRI, PETE, CIPO digital map) adapted from a U.S. Geological Survey Bulletin map by Dischinger (1987) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-grants-headquarters-at-city-point-petersburg-national-battlefi
Organization logo

Digital Geologic-GIS Map of Grant's Headquarters at City Point, Petersburg National Battlefield, Virginia (NPS, GRD, GRI, PETE, CIPO digital map) adapted from a U.S. Geological Survey Bulletin map by Dischinger (1987)

Explore at:
Dataset updated
Sep 26, 2025
Dataset provided by
National Park Servicehttp://www.nps.gov/
Description

The Digital Geologic-GIS Map of Grant's Headquarters at City Point, Petersburg National Battlefield, Virginia 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 (cipo_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 (cipo_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 (cipo_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.) A GIS readme file (pete_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (pete_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 (cipo_geology_metadata_faq.pdf). Please read the pete_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 (cipo_geology_metadata.txt or cipo_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).

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