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<?xml version="1.0"?> <mods xmlns="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:xlink="http://www.w3.org/1999/xlink" version="3.7" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-7.xsd"> <titleInfo> <title>LandScan 2011 Global Population Database</title> </titleInfo> <name type="corporate"> <namePart>Oak Ridge National Laboratory</namePart> <role> <roleTerm authority="marcrelator" type="text">creator</roleTerm> </role> </name> <genre valueURI="http://id.loc.gov/authorities/genreForms/gf2011026297" authority="lcgft">Geospatial data</genre> <genre valueURI="http://rdvocab.info/termList/RDAContentType/1001" authority="rdacontent">cartographic dataset</genre> <typeOfResource>cartographic</typeOfResource> <typeOfResource>software, multimedia</typeOfResource> <physicalDescription> <form>Raster Dataset</form> <digitalOrigin>born digital</digitalOrigin> </physicalDescription> <language> <languageTerm authority="iso639-2b" type="code">eng</languageTerm> </language> <abstract lang="eng" displayLabel="Abstract">The LandScan Global Population Database (2011) contains population counts at 30 arc second resolution (1 km. or finer). "Using an innovative approach with Geographic Information System and Remote Sensing, ORNL's LandScan™ is the community standard for global population distribution. At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm, an R&amp;D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region." --from the Oak Ridge National Laboratory LandScan Web site, Sept. 20, 2012. There is also a layer file (lspop2011.lyr) for ArcGIS. This dataset is part of the LandScan 2011 Global Population Database.</abstract> <abstract lang="eng" displayLabel="Purpose">The LandScan Global Population Database was developed by the Oak Ridge National Laboratory (ORNL) for the U.S. Department of Defense (DoD). This dataset allows for quick and easy assessment, estimation, and visualization of populations-at-risk.</abstract> <note lang="eng" displayLabel="Preferred citation">Oak Ridge National Laboratory. (2012). LandScan 2011 Global Population Database. Oak Ridge National Laboratory, UT-Battelle, LLC.</note> <note displayLabel="Supplemental information">This ZIP file contains an ArcInfo GRID file and an ArcGIS symbology layer (.lyr) for visualization using GIS software.</note> <subject authority="lcsh" lang="eng"> <topic authority="lcsh" authorityURI="http://id.loc.gov/authorities/subjects.html">Administrative and political divisions</topic> </subject> <subject authority="lcsh" lang="eng"> <topic authority="lcsh" authorityURI="http://id.loc.gov/authorities/subjects.html">Human geography</topic> </subject> <subject authority="lcsh" lang="eng"> <topic authority="lcsh" authorityURI="http://id.loc.gov/authorities/subjects.html">Population</topic> </subject> <subject authority="geonames" lang="eng"> <geographic authority="geonames" authorityURI="http://www.geonames.org/ontology#" valueURI="http://sws.geonames.org/6295630/">Earth (Planet)</geographic> </subject> <subject> <temporal encoding="w3cdtf">2011</temporal> </subject> <subject authority="ISO19115TopicCategory"> <topic authority="ISO19115TopicCategory" authorityURI="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_TopicCategoryCode" valueURI="society">Society</topic> </subject> <subject authority="ISO19115TopicCategory"> <topic authority="ISO19115TopicCategory" authorityURI="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_TopicCategoryCode" valueURI="imageryBaseMapsEarthCover">Imagery and Base Maps</topic> </subject> <subject> <cartographics> <scale>Scale not given.</scale> <coordinates>W 180°--E 180°/N 84°--S 90°</coordinates> </cartographics> </subject> <subject displayLabel="WGS84" authority="EPSG" valueURI="http://opengis.net/def/crs/EPSG/0/4326"> <cartographics> <projection>EPSG::4326</projection> </cartographics> </subject> <originInfo> <dateIssued encoding="w3cdtf" keyDate="yes">2012</dateIssued> <place> <placeTerm type="text">Oak Ridge, Tennessee, US</placeTerm> </place> <publisher>Oak Ridge National Laboratory</publisher> <edition>2011</edition> </originInfo> <location> <url usage="primary display">https://purl.stanford.edu/jj806fc3801</url> </location> <recordInfo> <languageOfCataloging> <languageTerm authority="iso639-2b" type="code">eng</languageTerm> </languageOfCataloging> <recordContentSource>Stanford</recordContentSource> <recordOrigin>This record was translated from ISO 19139 to MODS v.3 using an xsl transformation.</recordOrigin> <recordIdentifier>edu.stanford.purl:jj806fc3801</recordIdentifier> </recordInfo> <extension displayLabel="geo"> <rdf:RDF xmlns:gml="http://www.opengis.net/gml/3.2/" xmlns:dc="http://purl.org/dc/elements/1.1/"> <rdf:Description rdf:about="http://purl.stanford.edu/jj806fc3801"> <dc:format>application/x-ogc-aig; format=ArcGRID</dc:format> <dc:type>Dataset#Raster</dc:type> <gml:boundedBy> <gml:Envelope gml:srsName="EPSG:4326"> <gml:lowerCorner>-180.0 -90.0</gml:lowerCorner> <gml:upperCorner>180.0 84.0</gml:upperCorner> </gml:Envelope> </gml:boundedBy> </rdf:Description> </rdf:RDF> </extension> <relatedItem type="host"> <titleInfo> <title>East View LandScan global 2011</title> </titleInfo> <location> <url>https://purl.stanford.edu/tq652sh1214</url> </location> <typeOfResource collection="yes"/> </relatedItem> <accessCondition type="useAndReproduction">These data are licensed by Stanford Libraries and are available to Stanford University affiliates only. Affiliates are limited to current faculty, staff and students. Non affiliates seeking access should contact the publisher directly. These data may not be reproduced or used for any purpose without permission.</accessCondition> <accessCondition type="copyright">Copyright ownership resides with the originator.</accessCondition> </mods>
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