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areal: An R package for areal weighted interpolation

Prener, Christopher; Revord, Charlie


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  <identifier identifierType="DOI">10.5281/zenodo.2857598</identifier>
  <creators>
    <creator>
      <creatorName>Prener, Christopher</creatorName>
      <givenName>Christopher</givenName>
      <familyName>Prener</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4310-9888</nameIdentifier>
      <affiliation>Department of Sociology and Anthropology, Saint Louis University</affiliation>
    </creator>
    <creator>
      <creatorName>Revord, Charlie</creatorName>
      <givenName>Charlie</givenName>
      <familyName>Revord</familyName>
      <affiliation>Department of Sociology and Anthropology, Saint Louis University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>areal: An R package for areal weighted interpolation</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>R</subject>
    <subject>geospatial science</subject>
    <subject>spatial statistics</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-05-16</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2857598</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/slu-openGIS/areal/tree/v0.1.4.4</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2433868</relatedIdentifier>
  </relatedIdentifiers>
  <version>v0.1.4.4</version>
  <rightsList>
    <rights rightsURI="http://www.opensource.org/licenses/GPL-3.0">GNU General Public License v3.0 only</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">A pipeable, transparent implementation of areal weighted interpolation with support for interpolating multiple variables in a single function call. These tools provide a full-featured workflow for validation and estimation that fits into both modern data management (e.g. tidyverse) and spatial data (e.g. sf) frameworks.</description>
  </descriptions>
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