Spatio-Temporal Nearest Neighbor Index for Measuring Space-Time Clustering among Geographic Events

Jay Lee, Shengwen Li, Shaoli Wang, Jyhpyng Wang, Jun Li

研究成果: 雜誌貢獻期刊論文同行評審

6 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
頁(從 - 到)117-130
頁數14
期刊Papers in Applied Geography
7
發行號2
DOIs
出版狀態已出版 - 2021

指紋

深入研究「Spatio-Temporal Nearest Neighbor Index for Measuring Space-Time Clustering among Geographic Events」主題。共同形成了獨特的指紋。

引用此