2 datasets found

  1. GIS dataset of candidate terrestrial ecological restoration areas for the...

    • s.cnmilf.com
    • catalog.data.gov
    • +1more
    Updated Nov 12, 2020
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    U.S. EPA Office of Research and Development (ORD) (2020). GIS dataset of candidate terrestrial ecological restoration areas for the United States [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/gis-dataset-of-candidate-terrestrial-ecological-restoration-areas-for-the-united-states
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    Dataset updated
    Nov 12, 2020
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    United States
    Description

    A vector GIS dataset of candidate areas for terrestrial ecological restoration based on landscape context. The dataset was created using NLCD 2011 (www.mrlc.gov) and morphological spatial pattern analysis (MSPA) (http://forest.jrc.ec.europa.eu/download/software/guidos/mspa/). There are 13 attributes for the polygons in the dataset, including presence and length of roads, candidate area size, size of surround contiguous natural areas, soil productivity, presence and length of road, areas suitable for wetland restoration, and others. This dataset is associated with the following publication: Wickham, J., K. Riiters, P. Vogt, J. Costanza, and A. Neale. An inventory of continental U.S. terrestrial candidate ecological restoration areas based on landscape context. RESTORATION ECOLOGY. Blackwell Publishing, Malden, MA, USA, 25(6): 894-902, (2017).

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    GIS dataset of candidate terrestrial ecological restoration areas for the...

    • gimi9.com
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    GIS dataset of candidate terrestrial ecological restoration areas for the United States | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_gis-dataset-of-candidate-terrestrial-ecological-restoration-areas-for-the-united-states/
    Explore at:
    Area covered
    United States
    Description

    A vector GIS dataset of candidate areas for terrestrial ecological restoration based on landscape context. The dataset was created using NLCD 2011 (www.mrlc.gov) and morphological spatial pattern analysis (MSPA) (http://forest.jrc.ec.europa.eu/download/software/guidos/mspa/). There are 13 attributes for the polygons in the dataset, including presence and length of roads, candidate area size, size of surround contiguous natural areas, soil productivity, presence and length of road, areas suitable for wetland restoration, and others. This dataset is associated with the following publication: Wickham, J., K. Riiters, P. Vogt, J. Costanza, and A. Neale. An inventory of continental U.S. terrestrial candidate ecological restoration areas based on landscape context. RESTORATION ECOLOGY. Blackwell Publishing, Malden, MA, USA, 25(6): 894-902, (2017).

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U.S. EPA Office of Research and Development (ORD) (2020). GIS dataset of candidate terrestrial ecological restoration areas for the United States [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/gis-dataset-of-candidate-terrestrial-ecological-restoration-areas-for-the-united-states
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GIS dataset of candidate terrestrial ecological restoration areas for the United States

Explore at:
Dataset updated
Nov 12, 2020
Dataset provided by
United States Environmental Protection Agencyhttp://www.epa.gov/
Area covered
United States
Description

A vector GIS dataset of candidate areas for terrestrial ecological restoration based on landscape context. The dataset was created using NLCD 2011 (www.mrlc.gov) and morphological spatial pattern analysis (MSPA) (http://forest.jrc.ec.europa.eu/download/software/guidos/mspa/). There are 13 attributes for the polygons in the dataset, including presence and length of roads, candidate area size, size of surround contiguous natural areas, soil productivity, presence and length of road, areas suitable for wetland restoration, and others. This dataset is associated with the following publication: Wickham, J., K. Riiters, P. Vogt, J. Costanza, and A. Neale. An inventory of continental U.S. terrestrial candidate ecological restoration areas based on landscape context. RESTORATION ECOLOGY. Blackwell Publishing, Malden, MA, USA, 25(6): 894-902, (2017).

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