The Use of Geospatial Clustering in Analysing Health Risk Profile

• Main Authors: YEO, Sue-Mae, KAM, Tin Seong, THIA, Kai Xin, WU, Dan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: LISA; Spatial statistics; Population Health; MITB student; Computer Sciences; Databases and Information Systems; Geography; Medicine and Health Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/2528; https://ink.library.smu.edu.sg/context/sis_research/article/3528/viewcontent/Geospatial_Health_Risk_2014_av.pdf
• Institution: Singapore Management University

Background & Hypothesis: The first law of geography states that “everything is related to everything else, but near things are more related than distant things”. This study aims to demonstrate how local indicator of spatial association (LISA) statistics are used to group patients with similar ch...