April 17, 2020 Dataset Open Access

Zoraghein, H.; O'Neill, B.

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{
  "description": "<p>These data are to supplement the following in-press publication:&nbsp;&nbsp;</p>\n\n<p>Zoraghein, H., and O&#39;Neill B. (2020).&nbsp;U.S. state-level projections of the spatial distribution of population consistent with Shared Socioeconomic Pathways. Sustainability.</p>\n\n<p>The data herein were generated using the `population_gravity` model which can be found here:&nbsp;&nbsp;<a href=\"https://github.com/IMMM-SFA/population_gravity\">https://github.com/IMMM-SFA/population_gravity</a></p>\n\n<p>CONTENTS:</p>\n\n<p><strong>zoraghein-oneill_population_gravity_inputs_outputs.zip</strong></p>\n\n<ul>\n\t<li>contains a directory for each U.S. state for inputs and outputs</li>\n\t<li><strong>inputs</strong> contain&nbsp;the following:\n\t<ul>\n\t\t<li><strong>&lt;state-name&gt;_&lt;urban or rural&gt;_&lt;yr&gt;_1km.tif:&nbsp;</strong>&nbsp;Urban and Rural population GeoTIF rasters at a 1km resolution\n\t\t<ul>\n\t\t\t<li>value per grid cell: number of humans (float)</li>\n\t\t\t<li>crs:&nbsp;EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected</li>\n\t\t\t<li>nodata value:&nbsp;&nbsp;-3.40282e+38</li>\n\t\t</ul>\n\t\t</li>\n\t\t<li><strong>&lt;state-name&gt;_mask_short_term.tif:&nbsp;</strong> Mask GeoTIF rasters at a 1km resolution that contain values from 0.0 to 1.0 for each 1 km grid cell to help calculate suitability depending on topographic and land use and land cover characteristics\n\t\t<ul>\n\t\t\t<li>value per grid cell: values from 0.0 to 1.0 (float) that are generated from&nbsp;topographic and land use and land cover characteristics to inform suitability as outlined in the companion publication</li>\n\t\t\t<li>crs:&nbsp;EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected</li>\n\t\t\t<li>nodata value:&nbsp;&nbsp;-3.40282e+38</li>\n\t\t</ul>\n\t\t</li>\n\t\t<li><strong>&lt;state-name&gt;_&lt;ssp&gt;_popproj.csv:&nbsp;</strong> Population projection CSV files for urban, rural, and total population (number of humans; float) for SSPs 2, 3, and 5 for&nbsp;years 2010-2100</li>\n\t\t<li><strong>&lt;state-name&gt;_coordinates.csv:&nbsp;&nbsp;</strong>CSV file containing the coordinates for each 1 km grid cell within the target state. File includes a header with the fields XCoord, YCoord, FID.,Where data types and field descriptions are as follows: (XCoord, float, X coordinate in meters),(YCoord, float, Y coordinate in meters),(FID, int, Unique feature id)</li>\n\t\t<li><strong>&lt;state-name&gt;_within_indices.txt:&nbsp;&nbsp;</strong>text file containing a file structured as a Python list (e.g. [0, 1]) that contains the index of each grid cell when flattened from a 2D array to a 1D array for the target state.</li>\n\t\t<li><strong>&lt;state-name&gt;_&lt;ssp&gt;_params.csv:&nbsp;&nbsp;</strong>CSV file containing the calibration parameters (alpha_rural, beta_rural, alpha_urban, beta_urban; float) for the `population_gravity` model for each year from 2010-2100 in 10-year time-steps as described in the companion publication</li>\n\t</ul>\n\t</li>\n\t<li><strong>outputs</strong> contain the following:\n\t<ul>\n\t\t<li><strong>jones_oneill</strong> directory; these are&nbsp;the comparison datasets used to build Figures 7 and 8 in the companion publication\n\t\t<ul>\n\t\t\t<li>contains three directories:&nbsp; SSP2, SSP3, and SSP5 that each contain a GeoTIF representing total population (number of humans; float) at 1km resolution for years 2050 and 2100.\n\t\t\t<ul>\n\t\t\t\t<li><strong>&lt;state-name&gt;_1km_&lt;ssp&gt;_total_&lt;year&gt;_jones_oneill.tif:</strong>\n\t\t\t\t<ul>\n\t\t\t\t\t<li>value per grid cell: number of humans (float)</li>\n\t\t\t\t\t<li>crs:&nbsp;EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected</li>\n\t\t\t\t\t<li>nodata value:&nbsp;&nbsp;-3.40282e+38</li>\n\t\t\t\t</ul>\n\t\t\t\t</li>\n\t\t\t</ul>\n\t\t\t</li>\n\t\t</ul>\n\t\t</li>\n\t\t<li><strong>model</strong> directory; these are the model outputs from `population_gravity` for&nbsp;SSP2, SSP3, and SSP5&nbsp;that each contain a GeoTIF representing urban, rural, and total&nbsp;population (number of humans; float) at 1km resolution for years 2020-2100 in 10-year time-steps.\n\t\t<ul>\n\t\t\t<li><strong>&lt;state-name&gt;_1km_&lt;ssp&gt;_&lt;urban, rural, or total&gt;_&lt;year&gt;_jones_oneill.tif:</strong>\n\t\t\t<ul>\n\t\t\t\t<li>value per grid cell: number of humans (float)</li>\n\t\t\t\t<li>crs:&nbsp;EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected</li>\n\t\t\t\t<li>nodata value:&nbsp;&nbsp;-3.40282e+38</li>\n\t\t\t</ul>\n\t\t\t</li>\n\t\t</ul>\n\t\t</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>&nbsp;</p>\n\n<p><strong>zoraghein-oneill_population_gravity_national-ssp-maps.zip</strong></p>\n\n<ul>\n\t<li>Results of the `population_gravity` model mosaicked to the National scale at a 1km resolution and the comparison Jones and O&#39;Neill research.&nbsp; These are used to generate Figure 6 of the companion paper\n\t<ul>\n\t\t<li><strong>National_1km_&lt;ssp&gt;_&lt;urban, rural, or total&gt;_&lt;year&gt;_jones_oneill.tif:</strong>\n\n\t\t<ul>\n\t\t\t<li>value per grid cell: number of humans (float)</li>\n\t\t\t<li>crs:&nbsp;EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected</li>\n\t\t\t<li>nodata value:&nbsp;&nbsp;-3.40282e+38</li>\n\t\t</ul>\n\t\t</li>\n\t\t<li><strong>National_1km_&lt;ssp&gt;_&lt;urban, rural, or total&gt;_&lt;year&gt;.tif:</strong>\n\t\t<ul>\n\t\t\t<li>value per grid cell: number of humans (float)</li>\n\t\t\t<li>crs:&nbsp;EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected</li>\n\t\t\t<li>nodata value:&nbsp;&nbsp;-3.40282e+38</li>\n\t\t</ul>\n\t\t</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "@type": "Person", 
      "name": "Zoraghein, H."
    }, 
    {
      "affiliation": "University of Denver", 
      "@type": "Person", 
      "name": "O'Neill, B."
    }
  ], 
  "url": "https://zenodo.org/record/3756179", 
  "datePublished": "2020-04-17", 
  "version": "v0.1.0", 
  "keywords": [
    "SSP", 
    "population", 
    "gravity model", 
    "IM3"
  ], 
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      "@type": "DataDownload"
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  "identifier": "https://doi.org/10.5281/zenodo.3756179", 
  "@id": "https://doi.org/10.5281/zenodo.3756179", 
  "@type": "Dataset", 
  "name": "Data Supplement: U.S. state-level projections of the spatial distribution of population consistent with Shared Socioeconomic Pathways."
}