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dc.contributor.authorHu, Zhicheng
dc.contributor.authorHojjati, Amirabbas
dc.contributor.authorHaghshenas, Amirashkan
dc.contributor.authorHasan, Agus Ismail
dc.contributor.authorDa Silva Torres, Ricardo
dc.date.accessioned2024-01-19T07:58:36Z
dc.date.available2024-01-19T07:58:36Z
dc.date.created2023-11-06T09:47:17Z
dc.date.issued2023
dc.identifier.citationIEEE Access. 2023, 11 110596-110614.en_US
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/11250/3112640
dc.description.abstractSpatiotemporal data visualization is of paramount importance in several applications, especially for analyzing urban mobility data encoded on topologies. This paper introduces a novel solution, called Temporal Topology Density Map (TTDM), to represent 2D discrete spatial data with temporal variations into a 2D continuous spatial space constrained by a topology. The proposed approach combines topological density maps with Change Frequency Heatmap (CFH) to convey visual information regarding temporal changes, leading to a new visualization method. Two case studies related to the analysis of response time associated with emergency services and walkability changes over time in specific areas of interest demonstrated the effectiveness of TTDM in challenging scenarios. The proposed solution provides an intuitive visualization for supporting the accurate analysis of spatiotemporal data changes over time using topology density maps.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleTemporal Topology Density Mapen_US
dc.title.alternativeTemporal Topology Density Mapen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber110596-110614en_US
dc.source.volume11en_US
dc.source.journalIEEE Accessen_US
dc.identifier.doi10.1109/ACCESS.2023.3322361
dc.identifier.cristin2192395
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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