Advancing beyond static representations of movement in spatial analysis

dc.contributor.authorHolloway, Paul
dc.date.accessioned2021-05-17T10:27:39Z
dc.date.available2021-05-17T10:27:39Z
dc.date.issued2020
dc.date.updated2021-05-17T10:08:49Z
dc.description.abstractMethods used to generate movement and couple it with the environment are strongly integrated within GIScience. This study explores how systematically altering the conceptualisation of movement, environmental space, and temporal resolution affects the results of habitat selection analyses using both real-world case studies and simulated data. Only segment conceptualisations modelled the expected movement-environment relationship with increasing linear feature resistance. This suggests that spatial statistics employed to investigate movement-environment relationships should advance beyond conceptualising movement as the (relatively) static conceptualisation of vectors and moves and replace these with (more) dynamic aggregations of longer-lasting movement processes such as segments and areal representations.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid35en
dc.identifier.citationHolloway, P. (2020) 'Advancing beyond static representations of movement in spatial analysis', Proceedings of the 28th GISRUK Conference, 21-23 June (Online Conference), Paper 35 (8pp). Available at: http://london.gisruk.org/gisruk2020_proceedings/GISRUK2020_paper_35.pdf (Accessed: 17 May 2021)en
dc.identifier.endpage8en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/11326
dc.language.isoenen
dc.publisherGeographical Information Science Research UKen
dc.relation.urihttp://london.gisruk.org/programme.php
dc.relation.urihttp://london.gisruk.org/
dc.rights© 2020, the Author. Published by Geographical Information Science Research UK.en
dc.subjectGeocomputationen
dc.subjectMovementen
dc.subjectSimulationsen
dc.subjectSpatial statisticsen
dc.titleAdvancing beyond static representations of movement in spatial analysisen
dc.typeConference itemen
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