4 datasets found
  1. a

    Property Mapping (Full Version)

    • gis-ottawacountymi.hub.arcgis.com
    Updated Aug 5, 2020
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    Ottawa County Geospatial Insights & Solutions (2020). Property Mapping (Full Version) [Dataset]. https://gis-ottawacountymi.hub.arcgis.com/datasets/property-mapping-full-version
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    Dataset updated
    Aug 5, 2020
    Dataset authored and provided by
    Ottawa County Geospatial Insights & Solutions
    Description

    » Major Features include:» Create a mailing list by drawing or setting a distance from a parcel's edge. (Video)» Create a pre-formatted report or use the Print tool to create your own parcel map» Allows higher end users to find data using query tools and filters.

  2. TIGER/Line Shapefile, 2022, County, Ottawa County, MI, All Roads

    • catalog.data.gov
    • datasets.ai
    Updated Jan 27, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, County, Ottawa County, MI, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-county-ottawa-county-mi-all-roads
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    Dataset updated
    Jan 27, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://commerce.gov/
    Area covered
    Ottawa County
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

  3. a

    Prime Farmland/Land Use - Ottawa County

    • gis-odnr.opendata.arcgis.com
    Updated Nov 6, 2024
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    Ohio Department of Natural Resources (2024). Prime Farmland/Land Use - Ottawa County [Dataset]. https://gis-odnr.opendata.arcgis.com/datasets/prime-farmland-land-use-ottawa-county
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    Dataset updated
    Nov 6, 2024
    Dataset authored and provided by
    Ohio Department of Natural Resources
    License

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

    Description

    Download .zipThis theme combines prime farmland ratings of the soils in Ottawa County with land use/ land cover information to determine which agricultural areas are prime farmlands. Soil ratings were provided by the USDA, Natural Resources Conservation Service

    The soil coverage used in this analysis was digitized from the original paper soil survey sheets. These sheets were taped together to form an area covering each of the USGS quadrangle maps in the county. The areas for each quadrangle were then digitized using a run length encoding technique sampling along horizontal lines which represented the midline of cells with a height of 250 feet. The measurement increment along these horizontal lines was one decafoot (10 feet). The quadrangle files were then merged into a county raster based file which was subsequently converted to ARC/INFO format.

    The user should bear in mind that this coverage is only an approximation of the original soil survey and should not be used for site specific analysis. Additional details on the digitizing process are available on request.

    Original coverage data was converted from the .e00 file to a more standard ESRI shapefile(s) in November 2014.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesReal Estate & Land ManagementReal Estate and Lands Management2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed

  4. a

    Detailed Watersheds - Ottawa County

    • gis-odnr.opendata.arcgis.com
    Updated Nov 6, 2024
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    Ohio Department of Natural Resources (2024). Detailed Watersheds - Ottawa County [Dataset]. https://gis-odnr.opendata.arcgis.com/documents/6029ca855a4443f88554cc5f94b6b566
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    Dataset updated
    Nov 6, 2024
    Dataset authored and provided by
    Ohio Department of Natural Resources
    License

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

    Description

    Download .zipThis theme shows detailed watersheds for Ottawa County, as digitized in vector mode from mylar copies of maps maintained by the U.S. Geological Survey, Water Resources Division.

    Original coverage data was converted from the .e00 file to a more standard ESRI shapefile(s) in November 2014.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesReal Estate & Land ManagementReal Estate and Lands Management2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed

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Ottawa County Geospatial Insights & Solutions (2020). Property Mapping (Full Version) [Dataset]. https://gis-ottawacountymi.hub.arcgis.com/datasets/property-mapping-full-version

Property Mapping (Full Version)

Explore at:
Dataset updated
Aug 5, 2020
Dataset authored and provided by
Ottawa County Geospatial Insights & Solutions
Description

» Major Features include:» Create a mailing list by drawing or setting a distance from a parcel's edge. (Video)» Create a pre-formatted report or use the Print tool to create your own parcel map» Allows higher end users to find data using query tools and filters.

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