58 datasets found
  1. i

    Parcel Boundaries of Indiana 2020

    • indianamap.org
    • indianamapold-inmap.hub.arcgis.com
    • +1more
    Updated May 17, 2022
    + more versions
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    IndianaMap (2022). Parcel Boundaries of Indiana 2020 [Dataset]. https://www.indianamap.org/datasets/INMap::parcel-boundaries-of-indiana-2020/about
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    Dataset updated
    May 17, 2022
    Dataset authored and provided by
    IndianaMap
    License

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

    Area covered
    Description

    This data set was developed to provide accurate framework data (including address points, street centerlines, land parcels, and governmental boundaries) for Indiana, as part of the Indiana Data Sharing Initiative (IDSI) of the Indiana Geographic Information Office (IGIO).This dataset is a polygon feature class that contains land parcels maintained by local government agencies in Indiana, provided by personnel of the Indiana Geographic Information Office (IGIO). These data were compiled by IGIO as part of the Indiana Data Sharing Initiative (IDSI) between Indiana Geographic Information Council (IGIC), Indiana Geographic Information Office (IGIO), Indiana Geological and Water Survey (IGWS) and participating Indiana local governments to provide the most accurate framework data (including address points, street centerlines, land parcels, and governmental boundaries) for the citizens of Indiana. The attributes have been expanded to now include parcel ID, dates of harvest from each government, property classification codes, property classification descriptions, street address information, and tax district ID numbers.

  2. K

    Allen County, Indiana Parcels

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated May 1, 2019
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    Allen County, Indiana (2019). Allen County, Indiana Parcels [Dataset]. https://koordinates.com/layer/100466-allen-county-indiana-parcels/
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    pdf, mapinfo mif, geodatabase, mapinfo tab, shapefile, dwg, csv, geopackage / sqlite, kmlAvailable download formats
    Dataset updated
    May 1, 2019
    Dataset authored and provided by
    Allen County, Indiana
    Area covered
    Description

    Vector polygon map data of property parcels from Allen County, Indiana containing 162,365 features.

    Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

    Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

    Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

  3. i

    Parcel Boundaries of Indiana 2024

    • indianamap.org
    • indianamapold-inmap.hub.arcgis.com
    Updated Nov 13, 2024
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    IndianaMap (2024). Parcel Boundaries of Indiana 2024 [Dataset]. https://www.indianamap.org/datasets/parcel-boundaries-of-indiana-2024/about
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    Dataset updated
    Nov 13, 2024
    Dataset authored and provided by
    IndianaMap
    Area covered
    Description

    This dataset was developed to provide accurate parcel boundaries for Indiana, as part of Indiana's annual GIS Data harvest Data Sharing Initiative (IDSI) of the Indiana Geographic Information Office (IGIO).This data layer is an Esri file geodatabase polygon feature class that contains parcel boundaries maintained by county agencies in Indiana. It was released by the Indiana Geographic Information Office (IGIO) on November 13, 2024. The IGIO compiled the data as part of the Indiana Data Harvest program between the Indiana Geographic Information Council (IGIC) and Indiana local governments to provide the most accurate framework data for the citizens of Indiana. These layers include address points, street centerlines, land parcels, and governmental boundaries.

  4. a

    PROPERTY BOUNDARIES

    • evvc-evvc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Aug 25, 2014
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    Evansville/Vanderburgh County GIS (2014). PROPERTY BOUNDARIES [Dataset]. https://evvc-evvc.opendata.arcgis.com/items/02762faf4df24829bced0cd54ccdb19c
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    Dataset updated
    Aug 25, 2014
    Dataset authored and provided by
    Evansville/Vanderburgh County GIS
    Area covered
    Description

    Current property boundaries within Vanderburgh County, Indiana.Does not represent current taxed properties.Does not contain full property attributes.Updated nightly.Contact the Vanderburgh County Assessor for more information. assessor@vanderburghgov.org

  5. T

    GIS Map Panel Boundaries

    • data.bloomington.in.gov
    • catalog.data.gov
    Updated Dec 15, 2023
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    (2023). GIS Map Panel Boundaries [Dataset]. https://data.bloomington.in.gov/Maps/GIS-Map-Panel-Boundaries/ymp5-yvgv
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    kml, application/geo+json, xml, csv, kmz, xlsxAvailable download formats
    Dataset updated
    Dec 15, 2023
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    This map data layer represents the GIS Map Panel Boundaries for the City of Bloomington, Indiana. The GIS Map Panel Boundaries data layer was created as a reference grid for the GIS map data. The grid tiles are 3000' by 2000' and cover a total of 86.3 square miles of central Monroe County in Indiana. The panel tiles are located arbitrary to any geographic features

  6. Digital Bedrock Geologic-GIS Map of Lincoln Boyhood National Memorial and...

    • catalog.data.gov
    Updated Nov 25, 2025
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    National Park Service (2025). Digital Bedrock Geologic-GIS Map of Lincoln Boyhood National Memorial and Vicinity, Indiana (NPS, GRD, GRI, LIBO, LIBO_bedrock digital map) adapted from a Indiana Geological Survey unpublished working maps by Hutchinson (1959) [Dataset]. https://catalog.data.gov/dataset/digital-bedrock-geologic-gis-map-of-lincoln-boyhood-national-memorial-and-vicinity-indiana
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    Dataset updated
    Nov 25, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Indiana
    Description

    The Digital Bedrock Geologic-GIS Map of Lincoln Boyhood National Memorial and Vicinity, Indiana 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 (libo_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 (libo_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 (libo_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.) a readme file (libo_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (libo_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 (libo_bedrock_geology_metadata_faq.pdf). Please read the libo_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: Indiana 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 (libo_bedrock_geology_metadata.txt or libo_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).

  7. a

    PLSS Boundaries

    • hub.arcgis.com
    • indianamap-inmap.hub.arcgis.com
    Updated Apr 14, 2023
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    IndianaMap (2023). PLSS Boundaries [Dataset]. https://hub.arcgis.com/maps/c5be9a96b5ba4f39984034939aff5a0c
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    Dataset updated
    Apr 14, 2023
    Dataset authored and provided by
    IndianaMap
    Area covered
    Description

    This dataset was created as a framework layer defining the land survey lines of Indiana in polygon format. The information is intended for geographic display or analysis at a scale of 1:24,000 or smaller.The Public Land Survey System (PLSS) is a way of subdividing and describing land in the United States. All lands in the public domain are subject to subdivision by this rectangular system of surveys, which is regulated by the U.S. Department of the Interior, Bureau of Land Management (BLM). The PLSS typically divides land into 6-mile-square townships. Townships are subdivided into 36 one-mile- square sections. Sections can be further subdivided into quarter sections, quarter-quarter sections, or irregular government lots. Normally, a permanent monument, or marker, is placed at each section corner. Monuments are also placed at quarter-section corners and at other important points, such as the corners of government lots. Today permanent monuments are usually inscribed tablets set on iron rods or in concrete. The original PLSS surveys were often marked by wooden stakes or posts, marked trees, pits, or piles of rock, or other less permanent markers.

  8. i

    Parcel Boundaries of Indiana 2022

    • indianamap.org
    • hub.arcgis.com
    • +1more
    Updated Feb 1, 2022
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    IndianaMap (2022). Parcel Boundaries of Indiana 2022 [Dataset]. https://www.indianamap.org/maps/INMap::parcel-boundaries-of-indiana-2022
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    Dataset updated
    Feb 1, 2022
    Dataset authored and provided by
    IndianaMap
    Area covered
    Description

    This dataset was developed to provide accurate parcel boundaries for Indiana, as part of Indiana's annual GIS Data harvest Data Sharing Initiative (IDSI) of the Indiana Geographic Information Office (IGIO).This data layer is an Esri file geodatabase polygon feature class that contains parcel boundaries maintained by local government agencies in Indiana. It was released by the Indiana Geographic Information Office (IGIO) on November 9, 2022. The IGIO compiled the data as part of the Indiana Data Harvest program between the Indiana Geographic Information Council (IGIC) and Indiana local governments to provide the most accurate framework data for the citizens of Indiana.

  9. i

    USA Topo Maps

    • indianamap.org
    • data.openlaredo.com
    • +20more
    Updated Feb 10, 2012
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    Esri (2012). USA Topo Maps [Dataset]. https://www.indianamap.org/maps/931d892ac7a843d7ba29d085e0433465
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    Dataset updated
    Feb 10, 2012
    Dataset authored and provided by
    Esri
    Area covered
    Description

    Mature Support Notice: This item is in mature support as of June 2021. A replacement item has not been identified at this time.This map presents land cover and detailed topographic maps for the United States. It uses the USA Topographic Map service. The map includes the National Park Service (NPS) Natural Earth physical map at 1.24km per pixel for the world at small scales, i-cubed eTOPO 1:250,000-scale maps for the contiguous United States at medium scales, and National Geographic TOPO! 1:100,000 and 1:24,000-scale maps (1:250,000 and 1:63,000 in Alaska) for the United States at large scales. The TOPO! maps are seamless, scanned images of United States Geological Survey (USGS) paper topographic maps.The maps provide a very useful basemap for a variety of applications, particularly in rural areas where the topographic maps provide unique detail and features from other basemaps.To add this map service into a desktop application directly, go to the entry for the USA Topo Maps map service. Tip: Here are some famous locations as they appear in this web map, accessed by including their location in the URL that launches the map:Grand Canyon, ArizonaGolden Gate, CaliforniaThe Statue of Liberty, New YorkWashington DCCanyon De Chelly, ArizonaYellowstone National Park, WyomingArea 51, Nevada

  10. i

    Federal Land Boundaries 2023

    • indianamap.org
    • hub.arcgis.com
    • +2more
    Updated Nov 16, 2023
    + more versions
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    IndianaMap (2023). Federal Land Boundaries 2023 [Dataset]. https://www.indianamap.org/datasets/federal-land-boundaries-2023/about
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    Dataset updated
    Nov 16, 2023
    Dataset authored and provided by
    IndianaMap
    License

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

    Area covered
    Description

    In the United States, the federal government manages lands in significant parts of the country. These lands include 193 million acres managed by the US Forest Service in the nation's 154 National Forests and 20 National Grasslands, Bureau of Land Management lands that cover 247 million acres in Alaska and the Western United States, 150 million acres managed for wildlife conservation by the US Fish and Wildlife Service, 84 million acres of National Parks and other lands managed by the National Park Service and over 30 million acres managed by the Department of Defense. The Bureau of Reclamation manages a much smaller land base than the other agencies included in this layer but plays a critical role in managing the country's water resources.The agencies included in this layer are:Bureau of Land ManagementDepartment of DefenseNational Park ServiceUS Fish and Wildlife ServiceUS Forest Service

  11. i

    Presettlement Land Cover IDNR 2016

    • indianamap.org
    • indianamapold-inmap.hub.arcgis.com
    • +1more
    Updated Jul 31, 2024
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    IndianaMap (2024). Presettlement Land Cover IDNR 2016 [Dataset]. https://www.indianamap.org/datasets/presettlement-land-cover-idnr-2016/about
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    Dataset updated
    Jul 31, 2024
    Dataset authored and provided by
    IndianaMap
    License

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

    Area covered
    Description

    LAND_COVER_PRESETTLEMENT_IDNR_IN.SHP is a polygon shapefile showing generalized presettlement vegetation types of Indiana, circa 1820. The work was based on original land survey records and modern soil maps of counties in Indiana. The original published paper map from 1965 (Lindsey) provides five generalized classifications of vegetation types, and the article that contains the map offers descriptions for each classification:Classification Description------------------------------------- -------------------------------------------------Quercus - Carya "Oak-Hickory" forest typeFagus - Acer "Beech-Maple" forest typeFagus - Quercus - Acer - Carya "Mixed" forest typeWetlands Wetlands, marshes, swamps, & bogs vegetation (including Wet Prairie)Dry Prairie Dry Prairie vegetation (tallgrass lands)

  12. w

    Land Use and Land Cover - LAND_COVER_2006_USGS_IN: Land Cover in Indiana,...

    • data.wu.ac.at
    xml
    Updated Aug 19, 2017
    + more versions
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    NSGIC State | GIS Inventory (2017). Land Use and Land Cover - LAND_COVER_2006_USGS_IN: Land Cover in Indiana, Derived from the 2006 National Land Cover Database (United States Geological Survey, 30-Meter TIFF Image) [Dataset]. https://data.wu.ac.at/schema/data_gov/MzNkMWI4ZjQtMTQyZi00MmZhLTg3MmMtZjM5YzUxODMzOTBi
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    xmlAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC State | GIS Inventory
    Area covered
    e400d2c1c864ede8e3457e1220ac1ea7421c8459
    Description

    LAND_COVER_2006_USGS_IN is a grid (30-meter cell size) showing 2006 Land Cover data in Indiana. This grid is a subset of the National Land Cover Data (NLCD 2006) data set. There are 15 categories of land use shown in this data set when the associated layer file (LAND_COVER_2006_USGS_IN.LYR) is loaded. The following is excerpted from metadata provided by the USGS for the NLCD 2006: "The National Land Cover Database products are created through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS). Previously, NLCD consisted of three major data releases based on a 10-year cycle. These include a circa 1992 conterminous U.S. land cover dataset with one thematic layer (NLCD 1992), a circa 2001 50-state/Puerto Rico updated U.S. land cover database (NLCD 2001) with three layers including thematic land cover, percent imperviousness, and percent tree canopy, and a 1992/2001 Land Cover Change Retrofit Product. With these national data layers, there is often a 5-year time lag between the image capture date and product release. In some areas, the land cover can undergo significant change during production time, resulting in products that may be perpetually out of date. To address these issues, this circa 2006 NLCD land cover product (NLCD 2006) was conceived to meet user community needs for more frequent land cover monitoring (moving to a 5-year cycle) and to reduce the production time between image capture and product release. NLCD 2006 is designed to provide the user both updated land cover data and additional information that can be used to identify the pattern, nature, and magnitude of changes occurring between 2001 and 2006 for the conterminous United States at medium spatial resolution. For NLCD 2006, there are 3 primary data products: 1) NLCD 2006 Land Cover map; 2) NLCD 2001/2006 Change Pixels labeled with the 2006 land cover class; and 3) NLCD 2006 Percent Developed Imperviousness. Four additional data products were developed to provide supporting documentation and to provide information for land cover change analysis tasks: 4) NLCD 2001/2006 Percent Developed Imperviousness Change; 5) NLCD 2001/2006 Maximum Potential Change derived from the raw spectral change analysis; 6) NLCD 2001/2006 From-To Change pixels; and 7) NLCD 2006 Path/Row Index vector file showing the footprint of Landsat scene pairs used to derive 2001/2006 spectral change with change pair acquisition dates and scene identification numbers included in the attribute table. In addition to the 2006 data products listed in the paragraph above, two of the original release NLCD 2001 data products have been revised and reissued. Generation of NLCD 2006 data products helped to identify some update issues in the NLCD 2001 land cover and percent developed imperviousness data products. These issues were evaluated and corrected, necessitating a reissue of NLCD 2001 data products (NLCD 2001 Version 2.0) as part of the NLCD 2006 release. A majority of NLCD 2001 updates occur in coastal mapping zones where NLCD 2001 was published prior to the National Oceanic and Atmospheric Administration (NOAA) Coastal Change Analysis Program (C-CAP) 2001 land cover products. NOAA C-CAP 2001 land cover has now been seamlessly integrated with NLCD 2001 land cover for all coastal zones. NLCD 2001 percent developed imperviousness was also updated as part of this process. As part of the NLCD 2011 project, NLCD 2006 data products have been revised and reissued (2011 Edition) to provide full compatibility with all other NLCD 2011 Edition products. The 2014 amended version corrects for the over-elimination of small areas of the four developed classes. Land cover maps, derivatives and all associated documents are considered "provisional" until a formal accuracy assessment can be conducted. The NLCD 2006 is created on a path/row basis and mosaicked to create a seamless national product. Questions about the NLCD 2006 land cover product can be directed to the NLCD 2006 land cover mapping team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov."

  13. d

    Data from: U.S. Geological Survey Gap Analysis Program- Land Cover Data v2.2...

    • search.dataone.org
    • data.globalchange.gov
    • +2more
    Updated Dec 1, 2016
    + more versions
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    U.S. Geological Survey Gap Analysis Program, Anne Davidson, Spatial Ecologist (2016). U.S. Geological Survey Gap Analysis Program- Land Cover Data v2.2 [Dataset]. https://search.dataone.org/view/083f5422-3fb4-407c-b74a-a649e70a4fa9
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    Dataset updated
    Dec 1, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey Gap Analysis Program, Anne Davidson, Spatial Ecologist
    Time period covered
    Jan 1, 1999 - Jan 1, 2001
    Area covered
    Variables measured
    CL, SC, DIV, FRM, OID, RED, BLUE, COUNT, GREEN, VALUE, and 9 more
    Description

    This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

  14. w

    Geology, Bedrock - BEDROCK_TOPOGRAPHY_MM36_IN: Bedrock Topography Contours,...

    • data.wu.ac.at
    xml
    Updated Aug 19, 2017
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    NSGIC State | GIS Inventory (2017). Geology, Bedrock - BEDROCK_TOPOGRAPHY_MM36_IN: Bedrock Topography Contours, Indiana (Indiana Geological Survey, 1:500,000, Line Shapefile) [Dataset]. https://data.wu.ac.at/schema/data_gov/MjU0NThlNDItYjBiNy00NWM5LWI1M2UtZDA3N2E3ZDM2OTUz
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    xmlAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC State | GIS Inventory
    Area covered
    0751d6a3e37506e1869e101a5f7c985f08bda0a8, Indiana
    Description

    Bedrock topography was converted from the original published map, Indiana Geological Survey Miscellaneous Map 36. The contours define the elevation/topography of the bedrock surface in Indiana.

  15. d

    Data from: Zoning Districts

    • catalog.data.gov
    • data.bloomington.in.gov
    Updated Jul 12, 2025
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    data.bloomington.in.gov (2025). Zoning Districts [Dataset]. https://catalog.data.gov/dataset/zoning-districts-d3c79
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    Dataset updated
    Jul 12, 2025
    Dataset provided by
    data.bloomington.in.gov
    Description

    This map data layer represents the zoning district boundaries for the City of Bloomington, Indiana as defined through the City's zoning ordinance. The most recent comprehensive zoning ordinance is the May 17, 2020 Unified Development Ordinance (UDO). Map amendmentswere made effective May, 2021. Updates through amendments to the zoning ordinance are applied as approved by the City Council.

  16. a

    City Zoning

    • hub.arcgis.com
    Updated Apr 18, 2018
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    Johnson County Indiana GIS (2018). City Zoning [Dataset]. https://hub.arcgis.com/maps/6c0b7630228c414691409e87347f791e
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    Dataset updated
    Apr 18, 2018
    Dataset authored and provided by
    Johnson County Indiana GIS
    Area covered
    Description

    Zoning classes in provided by the cities within Johnson County

  17. w

    Geology, Bedrock - BEDROCK_GEOLOGY_RGM_250K_IN: Bedrock geology of Indiana,...

    • data.wu.ac.at
    xml
    Updated Aug 19, 2017
    + more versions
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    NSGIC State | GIS Inventory (2017). Geology, Bedrock - BEDROCK_GEOLOGY_RGM_250K_IN: Bedrock geology of Indiana, from the Regional Geologic Map Series of the Indiana Geological Survey (Indiana Geological Survey, 1:250,000, Polygon Shapefile) [Dataset]. https://data.wu.ac.at/schema/data_gov/M2NhMWRmZTktNDA2Yy00MDk4LWI3MDYtNDAwMjhjYzlkODA5
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    xmlAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC State | GIS Inventory
    Area covered
    4513ffd4eb8af915409ab465136b9f407810f9ab
    Description

    BEDROCK_GEOL_RGM_IN is a polygon shapefile that shows the bedrock geology of the state of Indiana, produced from the Indiana Geological Survey Regional Geologic Map series, which was mapped at a scale of 1:250,000. The mapped stratigraphic units include selected systems, groups, and formations. Additional attributes were included from derivative products of the "Compendium of Paleozoic rock-unit stratigraphy in Indiana a revision: Indiana Geological Survey Bulletin 59 (1986)." The names of some groups, formations, and members on some of the maps have been updated to reflect the most recent nomenclature.

  18. i

    Road Centerlines of Indiana 2021

    • indianamap.org
    • indianamapold-inmap.hub.arcgis.com
    Updated Feb 1, 2022
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    IndianaMap (2022). Road Centerlines of Indiana 2021 [Dataset]. https://www.indianamap.org/datasets/road-centerlines-of-indiana-2021/about
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    Dataset updated
    Feb 1, 2022
    Dataset authored and provided by
    IndianaMap
    Area covered
    Description

    This dataset was developed to provide accurate street centerlines for Indiana, as part of Indiana's annual GIS Data harvest Data Sharing Initiative (IDSI) of the Indiana Geographic Information Office (IGIO).This data layer is an Esri file geodatabase polyline feature class that contains street centerlines maintained by county agencies in Indiana. It was released by the Indiana Geographic Information Office (IGIO) on February 1, 2022. The IGIO compiled the data as part of the Indiana Data Harvest program between the Indiana Geographic Information Council (IGIC) and all Indiana counties to provide the most accurate framework data for the citizens of Indiana. These layers include address points, street centerlines, land parcels, and governmental boundaries.

  19. d

    Protected Areas Database of the United States (PAD-US)

    • search.dataone.org
    • data.wu.ac.at
    Updated Oct 26, 2017
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    US Geological Survey (USGS) Gap Analysis Program (GAP) (2017). Protected Areas Database of the United States (PAD-US) [Dataset]. https://search.dataone.org/view/0459986b-9a0e-41d9-9997-cad0fbea9c4e
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    Dataset updated
    Oct 26, 2017
    Dataset provided by
    USGS Science Data Catalog
    Authors
    US Geological Survey (USGS) Gap Analysis Program (GAP)
    Time period covered
    Jan 1, 2005 - Jan 1, 2016
    Area covered
    Variables measured
    Shape, Access, Des_Nm, Des_Tp, Loc_Ds, Loc_Nm, Agg_Src, GAPCdDt, GAP_Sts, GIS_Src, and 20 more
    Description

    The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

  20. A

    Pennsylvania Spatial Data: Soil Survey Geographic (SSURGO) database for...

    • data.amerigeoss.org
    • data.wu.ac.at
    html
    Updated Aug 9, 2019
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    Energy Data Exchange (2019). Pennsylvania Spatial Data: Soil Survey Geographic (SSURGO) database for Indiana County [Dataset]. https://data.amerigeoss.org/id/dataset/pennsylvania-spatial-data-soil-survey-geographic-ssurgo-database-for-indiana-county
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    htmlAvailable download formats
    Dataset updated
    Aug 9, 2019
    Dataset provided by
    Energy Data Exchange
    Area covered
    Indiana County, Pennsylvania
    Description

    From the site: "This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties."

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IndianaMap (2022). Parcel Boundaries of Indiana 2020 [Dataset]. https://www.indianamap.org/datasets/INMap::parcel-boundaries-of-indiana-2020/about

Parcel Boundaries of Indiana 2020

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Dataset updated
May 17, 2022
Dataset authored and provided by
IndianaMap
License

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

Area covered
Description

This data set was developed to provide accurate framework data (including address points, street centerlines, land parcels, and governmental boundaries) for Indiana, as part of the Indiana Data Sharing Initiative (IDSI) of the Indiana Geographic Information Office (IGIO).This dataset is a polygon feature class that contains land parcels maintained by local government agencies in Indiana, provided by personnel of the Indiana Geographic Information Office (IGIO). These data were compiled by IGIO as part of the Indiana Data Sharing Initiative (IDSI) between Indiana Geographic Information Council (IGIC), Indiana Geographic Information Office (IGIO), Indiana Geological and Water Survey (IGWS) and participating Indiana local governments to provide the most accurate framework data (including address points, street centerlines, land parcels, and governmental boundaries) for the citizens of Indiana. The attributes have been expanded to now include parcel ID, dates of harvest from each government, property classification codes, property classification descriptions, street address information, and tax district ID numbers.

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