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Lamb, David, Downs, Joni, Reader, Steven (2020) Space-Time Hierarchical Clustering for Identifying Clusters in Spatiotemporal Point Data. ISPRS International Journal of Geo-Information, 9. 85pp. doi:10.3390/ijgi9020085

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Reference TypeJournal (article/letter/editorial)
TitleSpace-Time Hierarchical Clustering for Identifying Clusters in Spatiotemporal Point Data
JournalISPRS International Journal of Geo-Information
AuthorsLamb, DavidAuthor
Downs, JoniAuthor
Reader, StevenAuthor
Year2020 (February 1)Volume9
PublisherMDPI AG
DOIdoi:10.3390/ijgi9020085Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID8355987Long-form Identifiermindat:1:5:8355987:7
GUID0
Full ReferenceLamb, David, Downs, Joni, Reader, Steven (2020) Space-Time Hierarchical Clustering for Identifying Clusters in Spatiotemporal Point Data. ISPRS International Journal of Geo-Information, 9. 85pp. doi:10.3390/ijgi9020085
Plain TextLamb, David, Downs, Joni, Reader, Steven (2020) Space-Time Hierarchical Clustering for Identifying Clusters in Spatiotemporal Point Data. ISPRS International Journal of Geo-Information, 9. 85pp. doi:10.3390/ijgi9020085
In(n.d.) ISPRS International Journal of Geo-Information Vol. 9. MDPI AG

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Wu, Xiaojing, Zheng, Donghai (2020) Tri-Clustering Based Exploration of Temporal Resolution Impacts on Spatio-Temporal Clusters in Geo-Referenced Time Series. ISPRS International Journal of Geo-Information, 9. 210pp. doi:10.3390/ijgi9040210
Shi, Zhicheng, Pun-Cheng, Lilian (2019) Spatiotemporal Data Clustering: A Survey of Methods. ISPRS International Journal of Geo-Information, 8. 112pp. doi:10.3390/ijgi8030112
Choi, Changlock, Hong, Seong-Yun (2021) MDST-DBSCAN: A Density-Based Clustering Method for Multidimensional Spatiotemporal Data. ISPRS International Journal of Geo-Information, 10 (6) 391pp. doi:10.3390/ijgi10060391
Zhu, Lin, Li, Nan, Bai, Luyi (2020) Algebraic Operations on Spatiotemporal Data Based on RDF. ISPRS International Journal of Geo-Information, 9. 80pp. doi:10.3390/ijgi9020080
, (2020) Retraction: Khan, N.U. et al. Spatiotemporal Analysis of Tourists and Residents in Shanghai Based on Location-Based Social Network’s Data from Weibo. ISPRS Int. J. Geo-Inf. 2020, 9, 70. ISPRS International Journal of Geo-Information, 9 (12) 723pp. doi:10.3390/ijgi9120723
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Lawrence, Haydn, Robertson, Colin, Feick, Rob, Nelson, Trisalyn (2020) The Spatial-Comprehensiveness (S-COM) Index: Identifying Optimal Spatial Extents in Volunteered Geographic Information Point Datasets. ISPRS International Journal of Geo-Information, 9 (9) 497pp. doi:10.3390/ijgi9090497
Downs, Joni A., Horner, Mark W., Hyzer, Garrett, Lamb, David, Loraamm, Rebecca (2014) Voxel-based probabilistic space-time prisms for analysing animal movements and habitat use. International Journal of Geographical Information Science, 28 (5). 875-890 doi:10.1080/13658816.2013.850170
Elias, Deepak, Kuijpers, Bart (2020) Visit Probability in Space–Time Prisms Based on Binomial Random Walk. ISPRS International Journal of Geo-Information, 9 (9) 555pp. doi:10.3390/ijgi9090555
Gong, Junfang, Lee, Jay, Zhou, Shunping, Li, Shengwen (2020) Toward Measuring the Level of Spatiotemporal Clustering of Multi-Categorical Geographic Events. ISPRS International Journal of Geo-Information, 9 (7) 440pp. doi:10.3390/ijgi9070440
Gong, Lunsheng, Jin, Meihan, Liu, Qiang, Gong, Yongxi, Liu, Yu (2020) Identifying Urban Residents’ Activity Space at Multiple Geographic Scales Using Mobile Phone Data. ISPRS International Journal of Geo-Information, 9 (4) 241pp. doi:10.3390/ijgi9040241
 
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