TY - JOUR
T1 - Spatio-Temporal Nearest Neighbor Index for Measuring Space-Time Clustering among Geographic Events
AU - Lee, Jay
AU - Li, Shengwen
AU - Wang, Shaoli
AU - Wang, Jyhpyng
AU - Li, Jun
N1 - Publisher Copyright:
© 2020 Applied Geography Conferences.
PY - 2021
Y1 - 2021
N2 - Extended from the spatially defined nearest neighbor index, the nearest neighbor index measures the levels of spatiotemporal clustering of a set of points, using only their spatial locations and the time associated with each point. The extended index is particularly suitable to use when there is no attribute information associated with geographic events except for locations and times when events occurred. In addition, it allows users to assess and visualize spatiotemporally distributed geographic events and to test if the events are more (or less) spatiotemporally clustered than would be expected by random chances. As a demonstration, this index was applied to crime and health data sets to demonstrate its usefulness. This article details the mathematical steps that formulate the extension. The calculation of the index values is fast and efficient with mathematical equations presented in the article.
AB - Extended from the spatially defined nearest neighbor index, the nearest neighbor index measures the levels of spatiotemporal clustering of a set of points, using only their spatial locations and the time associated with each point. The extended index is particularly suitable to use when there is no attribute information associated with geographic events except for locations and times when events occurred. In addition, it allows users to assess and visualize spatiotemporally distributed geographic events and to test if the events are more (or less) spatiotemporally clustered than would be expected by random chances. As a demonstration, this index was applied to crime and health data sets to demonstrate its usefulness. This article details the mathematical steps that formulate the extension. The calculation of the index values is fast and efficient with mathematical equations presented in the article.
KW - Nearest neighbor analysis
KW - spatiotemporal clustering
UR - http://www.scopus.com/inward/record.url?scp=85089886933&partnerID=8YFLogxK
U2 - 10.1080/23754931.2020.1810112
DO - 10.1080/23754931.2020.1810112
M3 - 期刊論文
AN - SCOPUS:85089886933
SN - 2375-4931
VL - 7
SP - 117
EP - 130
JO - Papers in Applied Geography
JF - Papers in Applied Geography
IS - 2
ER -