The Use of Geospatial Clustering in Analysing Health Risk Profile

The Use of Geospatial Clustering in Analysing Health Risk Profile

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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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

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