Moran’s <i>I</i> and Geary’s <i>C</i>: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases

Moran’s <i>I</i> and Geary’s <i>C</i>: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases

The COVID-19 outbreak has precipitated severe occurrences on a global scale. Hence, spatial analysis is crucial in determining the relationships and patterns of geospatial data. Moran’s I and Geary’s C are prominent methodologies used to measure the spatial autocorrelation of geographical data. Bot...

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Bibliographic Details
Main Authors: Sarah Isnan, Ahmad Fikri bin Abdullah, Abdul Rashid Shariff, Iskandar Ishak, Sharifah Norkhadijah Syed Ismail, Maheshwara Rao Appanan
Format: Article
Language:English
Published: PAGEPress Publications 2025-04-01
Series:Geospatial Health
Subjects:
Moran’s I
Geary’s C
spatial autocorrelation
COVID-19
Online Access:https://www.geospatialhealth.net/gh/article/view/1277
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