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dc.contributor.authorSekulic, Sebastijan
dc.contributor.authorLong, Jed
dc.contributor.authorDemšar, Urška
dc.identifier.citationSekulic , S , Long , J & Demšar , U 2021 , ' A spatially aware method for mapping movement-based and place-based regions from spatial flow networks ' , Transactions in GIS , vol. Early View .
dc.identifier.otherORCID: /0000-0001-7791-2807/work/96141305
dc.identifier.otherORCID: /0000-0001-7208-7393/work/96141547
dc.descriptionThis work was supported by the Economic and Social Research Council and The Scottish Graduate School of Social Science.en
dc.description.abstractCommunity detection (CD) is a frequent method for analysing flow networks in geography. It allows us to partition the network into a set of densely interconnected regions, called communities. We introduce a new technique for including geographical weighting into existing methods for detecting spatially coherent communities. We take a link-based CD algorithm and adjust it to incorporate geographical weighting. We call this approach geographically weighted community detection (GWCD). Our method is demonstrated on two case studies of commonly encountered flow networks: commuter flows and taxi pick-up/drop-off flows. Further, we test different measures of distance for geographic weighting and compare our results with the unmodified CD algorithm. Our results show that GWCD can capture the geographical nature of flow regions, generating spatially smaller and more compact areas than if geography is omitted and that it can be used to distinguish between different types of movement-type communities.
dc.relation.ispartofTransactions in GISen
dc.subjectCommunity detectionen
dc.subjectGeographical weightingen
dc.subjectFlow networksen
dc.subjectSpatial networksen
dc.subjectMovement analysisen
dc.subjectGF Human ecology. Anthropogeographyen
dc.titleA spatially aware method for mapping movement-based and place-based regions from spatial flow networksen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Bell-Edwards Geographic Data Instituteen
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews. Environmental Change Research Groupen
dc.description.statusPeer revieweden

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