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  <eprint id='https://researchdata.gla.ac.uk/id/eprint/2433'>
    <eprintid>2433</eprintid>
    <rev_number>6</rev_number>
    <eprint_status>archive</eprint_status>
    <userid>32963</userid>
    <dir>disk0/00/00/24/33</dir>
    <datestamp>2026-09-28 08:50:42</datestamp>
    <lastmod>2026-09-28 10:47:32</lastmod>
    <status_changed>2026-09-28 08:50:42</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Höhn</family>
          <given>Andreas</given>
        </name>
        <enlightenid>67086</enlightenid>
        <orcid>0000-0002-7170-1205</orcid>
      </item>
      <item>
        <name>
          <family>Rice</family>
          <given>Hugh</given>
        </name>
      </item>
      <item>
        <name>
          <family>Colasanti</family>
          <given>Ricardo</given>
        </name>
      </item>
      <item>
        <name>
          <family>Heppenstall</family>
          <given>Alison</given>
        </name>
        <enlightenid>62329</enlightenid>
        <orcid>0000-0002-0663-3437</orcid>
      </item>
      <item>
        <name>
          <family>Elsenbroich</family>
          <given>Corinna</given>
        </name>
        <enlightenid>63285</enlightenid>
        <orcid>0000-0003-1153-4326</orcid>
      </item>
      <item>
        <name>
          <family>Meier</family>
          <given>Petra</given>
        </name>
        <enlightenid>55675</enlightenid>
        <orcid>0000-0001-5354-1933</orcid>
      </item>
      <item>
        <name>
          <family>Lomax</family>
          <given>Nikolas</given>
        </name>
      </item>
    </creators>
    <uniqueid>glaresearchdata:2026-01-29-2433</uniqueid>
    <title>COMPASS - Combinatorial Optimisation for Microdata Population Assembly and Spatial Synthesis</title>
    <ispublished>pub</ispublished>
    <divisions>
      <item>25603000</item>
      <item>40514000</item>
    </divisions>
    <note>This is a metadata-only record. To access the data associated with this record, please follow the link provided to Zenodo.
Additional Funding: Economic and Social Research Council (ESRC) [ES/Z504270/1].</note>
    <abstract>Simulation models, such as agent-based or microsimulation models capturing urban contexts, increasingly draw on spatially explicit, attribute-rich synthetic population datasets as real-world data inputs. Despite their growing relevance, the creation of such datasets via simulated annealing still faces significant limitations. Addressing key limitations, we present the open-source software package Combinatorial Optimisation for Microdata Population Assembly and Spatial Synthesis (COMPASS). The algorithm implemented in COMPASS enables; aggregate-level representativeness at different levels of counts (e.g., households and individuals); the processing of nested input data (e.g., retaining survey household and kinship structures); and systematic monitoring of uncertainty arising at creation stage. We provide COMPASS as a compiled multi-platform software package, suitable for reproducible workflows via R and Python. This paper introduces COMPASS and illustrates one potential workflow using open access data created to reflect an artificial population – transferable to many national contexts.</abstract>
    <date>2026-01-29</date>
    <date_type>published</date_type>
    <publisher>Zenodo</publisher>
    <id_number>10.5281/zenodo.18418133</id_number>
    <data_type>
      <item>Software</item>
    </data_type>
    <funding>
      <item>
        <project_code>320976</project_code>
        <project_name>HealthModUK</project_name>
        <investigator_name>Petra Meier</investigator_name>
        <funder_name>Medical Research Council (MRC)</funder_name>
        <funder_code>MR/Y030656/1</funder_code>
        <investigator_dept>SHW - MRC/CSO Social &amp; Public Health Sciences Unit</investigator_dept>
      </item>
      <item>
        <project_code>322241</project_code>
        <project_name>Orienting Policy Towards Inequality Minimising Actions (OPTIMA): A systems science approach to 20-minute neighbourhood policy and evaluation</project_name>
        <investigator_name>Jonathan Stokes</investigator_name>
        <funder_name>National Institute for Health Research (NIHR)</funder_name>
        <funder_code>NIHR160301</funder_code>
        <investigator_dept>SHW - MRC/CSO Social &amp; Public Health Sciences Unit</investigator_dept>
      </item>
      <item>
        <project_code>321766</project_code>
        <project_name>International Centre for Lifecourse Studies in Society and Health</project_name>
        <investigator_name>Petra Meier</investigator_name>
        <funder_name>Economic and Social Research Council (ESRC)</funder_name>
        <funder_code>14243869</funder_code>
        <investigator_dept>SHW - Public Health</investigator_dept>
      </item>
    </funding>
    <pending>FALSE</pending>
    <language>English</language>
    <ethics_consent_required>FALSE</ethics_consent_required>
    <request_copy>FALSE</request_copy>
  </eprint>
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