3 datasets found
  1. a

    Salt Lake County Subdivisions

    • gisdata-slco.opendata.arcgis.com
    • opendata.utah.gov
    • +1more
    Updated Mar 17, 2015
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    Salt Lake County (2015). Salt Lake County Subdivisions [Dataset]. https://gisdata-slco.opendata.arcgis.com/datasets/salt-lake-county-subdivisions
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    Dataset updated
    Mar 17, 2015
    Dataset authored and provided by
    Salt Lake County
    Area covered
    Description

    Subdivision boundaries in Salt Lake County maintained by the Salt Lake County Surveyor's Office.

  2. a

    Utah Davis County Parcels

    • hub.arcgis.com
    • opendata.gis.utah.gov
    • +1more
    Updated Mar 12, 2012
    + more versions
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    Utah Automated Geographic Reference Center (AGRC) (2012). Utah Davis County Parcels [Dataset]. https://hub.arcgis.com/maps/utah::utah-davis-county-parcels
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    Dataset updated
    Mar 12, 2012
    Dataset authored and provided by
    Utah Automated Geographic Reference Center (AGRC)
    License

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

    Area covered
    Description

    Update information can be found within the layer’s attributes and in a table on the Utah Parcel Data webpage under Basic Parcels."Database containing parcel boundary, parcel identifier, parcel address, owner type, and county recorder contact information" - HB113. The intent of the bill was to not include any attributes that the counties rely on for data sales. If you want other attributes associated with the parcels you need to contact the county recorder.Users should be aware the owner type field 'OWN_TYPE' in the parcel polygons is a very generalized ownership type (Federal, Private, State, Tribal). It is populated with the value of the 'OWNER' field where the parcel's centroid intersects the CADASTRE.LandOwnership polygon layer.This dataset is a snapshot in time and may not be the most current. For the most current data contact the county recorder.

  3. H

    Future WRMA's Land Use Dataset

    • hydroshare.org
    • search.dataone.org
    zip
    Updated Jan 5, 2017
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    Enjie Li (2017). Future WRMA's Land Use Dataset [Dataset]. https://www.hydroshare.org/resource/71e9164eb57a4e32b58ad6bbe831b3f6
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    zip(12.8 MB)Available download formats
    Dataset updated
    Jan 5, 2017
    Dataset provided by
    HydroShare
    Authors
    Enjie Li
    License

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

    Time period covered
    Jan 1, 2014 - Dec 31, 2040
    Area covered
    Description

    This dataset contains the urban growth simulation results of future land use in 2040 of the Wasatch Range Metropolitan Area (WRMA) .In this study, we defined the WRMA as a broad, ten-county region that surrounds the Wasatch Mountain Range east of the Great Salt Lake and Salt Lake City in Utah. This region encompasses four Wasatch Front counties west of the mountain range (Weber County, Davis County, Salt Lake County, and Utah County), three Wasatch Back counties east of the mountain range (Morgan County, Summit County, and Wasatch County), and three counties neighboring the Wasatch Front (Cache County, Box Elder County, and Tooele County).

    SLEUTH-3r urban growth simulation model is used to generate this dataset. Detailed SLEUTH model protocol can be found at: http://www.ncgia.ucsb.edu/projects/gig/index.html. The data used to run the SLEUTH-3r model include National Land Cover Database 2001, 2006, and 2011, US Census TIGER/Line shapefile for 2000 and 2011, United States Geological Survey 7.5 min elevation model, and Utah Landownership map from Utah Automated Geographic Reference Center.

    Three alternative scenarios were developed to explore how conserving Utah’s agriculturale land and maintaining healthy watersheds would affect the patterns and trajectories of urban development: 1) The first scenario is a “Business as Usual” scenario. In this scenario, federal, state, and local parks, conservation easement areas, and surface water bodies, were completely excluded (value = 100) from development, and all the remaining lands are were naively assumed as developable (value = 0). This is the same excluded layer that was also used during model calibration. Under this scenario, we hypothesized that future urban grow will occur following the historical growth behaviors and trajectories and no changes in land designation or policies to restrict future growth will be implemented. 2) The second scenario is an “Agricultural Conservation” scenario. Within the developable areas that we identified earlier, we then identified places that are classified by the United States Department of Agriculture (USDA) as prime farmland, unique farmland, farmland of statewide importance, farmland of local importance, prime farmland if irrigated, and prime farmland if irrigated and drained. Each of these classes were assigned with an exclusion value from urban development of 100, 80, 70, 60, 50, and 40 respectively. These exclusion values reflect the relative importance of each farmland classification and preservation priorities. By doing so, the model discourages but does not totally eliminate growth from occurring on agricultural lands, which reflects a general policy position to conserve agricultural landscapes while respecting landowners’ rights to sell private property. 3) A “Healthy Watershed” scenario aims to direct urban growth away from areas prone to flooding and areas critical for maintaining healthy watersheds. First, we made a 200-meter buffer around existing surface water bodies and wetlands and assigned these areas an exclusion value of 100 to keep growth from occurring there. In addition, we assigned areas that have frequent, occasional, rare and no-recorded flooding events with exclusion values of 100, 70, 40 and 0 accordingly. We also incorporated the critical watershed restoration areas identified by the Watershed Restoration Initiative of Utah Division of Wildlife Resources (https://wri.utah.gov/wri/) into this scenario. These watershed restoration areas are priority places for improving water quality and yield, reducing catastrophic wildfires, restoring the structure and function of watersheds following wildfire, and increasing habitat for wildlife populations and forage for sustainable agriculture. However, there are not yet legal provisions for protecting them from urbanization, so we assigned these areas a value of 70 to explore the potential urban expansion outcomes if growth were encouraged elsewhere.

    Future land use projections of 2040 are in GIF format, which can be reprojected and georeferenced in ArcGIS or QGIS, or be read directly as a picture.

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Salt Lake County (2015). Salt Lake County Subdivisions [Dataset]. https://gisdata-slco.opendata.arcgis.com/datasets/salt-lake-county-subdivisions

Salt Lake County Subdivisions

Explore at:
Dataset updated
Mar 17, 2015
Dataset authored and provided by
Salt Lake County
Area covered
Description

Subdivision boundaries in Salt Lake County maintained by the Salt Lake County Surveyor's Office.

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