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).

City of St. Petersburg, FL City Limits Boundary

These data provide an accurate high-resolution shoreline compiled from imagery of Port of Petersburg, AK . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF ST PETERSBURG, FL . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attr...

U.S. Geological Survey (USGS) staff created geographic information system (GIS) footprints to show the extent of light detection and ranging (lidar) datasets published by the USGS St. Petersburg Coastal and Marine Science Center (SPCMSC), since 2001. These lidar datasets were published as LAS, XYZ, or Digital Elevation Model (DEM) outputs of coastal, submerged and/or terrestrial topography in USGS Data Series (DS), Open-File Reports (OFR), and data releases (DR). Please see the publications listed in the source information section of this metadata record for details on data acquisition and processing of the datasets included in this data release. Using tools included in Global Mapper (GM) GIS software, polygons were generated to represent the coverage area of data provided in multiple USGS lidar publications. These footprints were later merged into one shapefile containing information about the field activity number (fan), field activity source link (fan_url; added in version 2.0), publication type (pub), publication source link (pub_url), lidar return type (returntype), and year the data were collected (yr_collect) to serve as an easily accessible data inventory. This data release will be updated and versioned, as needed, as more lidar publications are released from the USGS SPCMSC.

These data were automated to provide an accurate high-resolution historical shoreline of St Petersburg, Florida suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

City of St. Petersburg, FL Street Data

These data provide an accurate high-resolution shoreline compiled from imagery of Port of Weedon Island/St. Petersburg, FL . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

These data were automated to provide an accurate high-resolution historical shoreline of Appomattox River, Petersburg to James River, Virginia suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

City of St. Petersburg, FL Business Districts

Scientists from the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted a time-series collection of shallow sediment cores from the back-barrier environments along the Chandeleur Islands, Louisiana from March 2012 through July 2013. The sampling efforts were part of a larger USGS study to evaluate the effects on the geomorphology of the Chandeleur Islands following the construction of an artificial sand berm in response to the Deep Water Horizon oil spill. The objective of this study was to evaluate the response of the back-barrier tidal and wetland environments to the berm. This report serves as an archive for sedimentological, radiochemical, and microbiological data derived from the sediment cores. Data is available for a time-series of four sampling periods: March 2012; July 2013; September 2012; and July 2013. Data is available in downloadable spreadsheet, Joint Photographic Experts Group and Portable Document File formats. Additi ...

City of St. Petersburg, FL Active Neighborhood Associations

City of St. Petersburg, FL Zoning Districts

As part of the Coastal Sediment Availability and Flux and Defense Advanced Research Protection Agency (DARPA) Reefense projects, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted a nearshore geophysical survey to map back-barrier and lagoonal areas, as well as characterizing stratigraphy near Panama City, Florida (FL) in June 2022. The purpose of this study was to conduct a geologic assessment (including bathymetric mapping) of the environs near Panama City, FL, in support of efforts to construct an artificial, living oyster reef near Tyndall Air Force Base. This publication serves as an archive of high-resolution chirp subbottom trace data, survey trackline map, navigation files, geographic information system (GIS) data, and formal Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata (CSDGM). Processed subbottom profile images are also provided. The archived trace data are in ...

City of St. Petersburg, FL Parks Data

City of St. Petersburg, FL Future Land Use

As part of the Sea level and Storm Impacts on Estuarine Environments and Shorelines project (SSIEES), scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a single-beam bathymetry survey within the estuarine, open bay and tidal creek environments of Grand Bay Alabama/Mississippi, in May-June 2015. The goal of the SSIEES project is to assess the physical controls of sediment and material exchange between wetlands and estuarine environments along the northern Gulf of Mexico, specifically Grand Bay AL/MS and Vermilion Bay, Louisiana, as well as along the US east coast in Chincoteague Bay Virginia/Maryland. The data included in this data release will provide baseline bathymetric information for future research investigating wetland/marsh evolution, sediment transport, recent and long term geomorphic change, and will support modeling of future changes in response to restoration and storm impacts. The survey area encompasses more than 40 square kilometers (km2) of Grand Bay’s incorporated waters. This data release archives processed single-beam bathymetry data, collected from May 28-June 3, 2015 (USGS Field Activity Number [FAN] 2015-315-FA). Geographic information system (GIS) data products include: a 10 and 30-meter cell size interpolated bathymetry grid, trackline maps, and point data files. Additional files include error analysis maps, Field Activity Collection System (FACS) logs, and formal Federal Geographic Data Committee (FGDC) metadata.

City of St. Petersburg, FL Preservation Areas

NOTE: This map is in Mature Support and is no longer updated. Use World_Street_Map (ArcGIS 9.3 or higher is required) to access the latest updates.This worldwide street map presents highway-level data for the world and street-level data for the United States, Canada, Europe, Southern Africa and elsewhere. This comprehensive street map includes highways, major roads, minor roads, railways, water features, administrative boundaries, cities, parks, and landmarks, overlaid on shaded relief imagery for added context. The street map was developed by Esri using DeLorme data and NAVTEQ street data. Coverage for street-level data elsewhere in the world includes Mexico (Mexico City only), Russia (Moscow, St. Petersburg only), and Turkey (Istanbul, Ankara only).Scale Range: 1:147,748,799 down to 1:4,509Coordinate System: Geographic (Latitude-Longitude)Tiling Scheme: ArcGIS OnlineMap Service Name: ESRI_StreetMap_World_2DArcGIS Desktop/Explorer URL: http://services.arcgisonline.com/arcgis/servicesArcGIS Server Manager and Web ADF URL: http://server.arcgisonline.com/arcgis/services/ESRI_StreetMap_World_2D/MapServerREST URL for ArcGIS Web APIs: http://server.arcgisonline.com/ArcGIS/rest/services/ESRI_StreetMap_World_2D/MapServerSOAP API URL: http://services.arcgisonline.com/ArcGIS/services/ESRI_StreetMap_World_2D/MapServer?wsdlPublication Date: October 2008Update Frequency: None planned

The Coast Guard Sectors are delineated in the description in the Title 33 Code of Federal Regulations (CFR) for each Sector Boundary and Area of Responsibility where latitude and longitude coordinates, as well as county/state/national boundaries are included to describe the boundaries for each zone. In addition, whenever the Area of Responsibility boundary is over water, the EEZ shapefile is referenced for those occurrences. This layer displays the Coast Guard Sector Boundaries for the following sectors: Anchorage, Boston, Buffalo, Charleston, Columbia River, Corpus Christi, Delaware Bay, Detroit, Guam, Honolulu, Houston - Galveston, Humboldt Bay, Jacksonville, Juneau, Key West, Lake Michigan, Long Island Sound, Los Angeles - Long Beach, Lower Mississippi, Maryland – NCR (National Capital Region), Miami, Mobile, New Orleans, New York, North Bend, North Carolina, Northern New England, Ohio Valley, Puget Sound, San Diego, San Francisco, San Juan, Sault Ste. Marie, Southeastern New England, St. Petersburg, Upper Mississippi, and Virginia.