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pro vyhledávání: '"Pak Lon Ip"'
Publikováno v:
Proceedings of the VLDB Endowment. 15:3606-3609
Kernel density visualization (KDV) has been widely used in many geospatial analysis tasks, including traffic accident hotspot detection, crime hotspot detection, and disease outbreak detection. Although KDV can be supported by many scientific, geogra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::327b2e2e62623092fd0bccfbb626f2a0
https://doi.org/10.14778/3554821.3554855
https://doi.org/10.14778/3554821.3554855
Publikováno v:
Proceedings of the VLDB Endowment. 15:814-827
Spatial-temporal kernel density visualization (STKDV) has been extensively used in a wide range of applications, e.g., disease outbreak analysis, traffic accident hotspot detection, and crime hotspot detection. While STKDV can provide accurate and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b0d55025979d7d9f9888bb6e5d8a9ce
https://doi.org/10.14778/3503585.3503591
https://doi.org/10.14778/3503585.3503591
Publikováno v:
Proceedings of the VLDB Endowment. 15:513-526
Kernel density visualization (KDV) has been the de facto method in many spatial analysis tasks, including ecological modeling, crime hotspot detection, traffic accident hotspot detection, and disease outbreak detection. In these tasks, domain experts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc9a0660bdd554153bef2db501a2a7df
https://doi.org/10.14778/3494124.3494135
https://doi.org/10.14778/3494124.3494135
Publikováno v:
Proceedings of the VLDB Endowment. 14:2655-2658
Kernel density visualization (KDV) is a commonly used visualization tool for many spatial analysis tasks, including disease outbreak detection, crime hotspot detection, and traffic accident hotspot detection. Although the most popular geographical in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccc32e3ff2ed87a0e375eebe621bde99
https://doi.org/10.14778/3476311.3476312
https://doi.org/10.14778/3476311.3476312