Event pattern analysis: Spatial clustering of sequential events and temporal change of events over time

DOI Web Site Web Site 参考文献44件
  • Yukio Sadahiro
    Interfaculty Initiative in Information Studies The University of Tokyo Tokyo Japan

書誌事項

公開日
2023-01-24
資源種別
journal article
権利情報
  • http://onlinelibrary.wiley.com/termsAndConditions#vor
DOI
  • 10.1111/tgis.13025
公開者
Wiley

この論文をさがす

説明

<jats:title>Abstract</jats:title><jats:p>This article develops a method for analyzing spatial and temporal event patterns. Events in this article refer to zero‐dimensional objects in the spatiotemporal dimension, which represent the occurrence of crimes, traffic accidents, earthquakes, and so forth. The spatial clustering of sequential events and the increase and decrease in events over time are discussed. These patterns are often observed and analyzed in various academic fields, such as criminology, epidemiology, and geography. However, analytical methods for these patterns have not yet been fully developed. To fill the research gap, this article proposes a new method for analyzing these event patterns. Two statistical measures are utilized, one represents the degree of the spatial clustering of sequential events, and the other evaluates the increase and decrease of events over time. The method is applied to the analysis of the spatial and temporal patterns of the openings of new shops and restaurants in Shibuya‐ku, Tokyo. The results gave us interesting empirical findings and indicated the soundness of the method.</jats:p>

収録刊行物

参考文献 (44)*注記

もっと見る

関連プロジェクト

もっと見る

詳細情報 詳細情報について

問題の指摘

ページトップへ