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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Principais autores:	Sarah Isnan, Ahmad Fikri bin Abdullah, Abdul Rashid Shariff, Iskandar Ishak, Sharifah Norkhadijah Syed Ismail, Maheshwara Rao Appanan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	PAGEPress Publications 2025-04-01
Colecção:	Geospatial Health
Assuntos:	Moran’s I Geary’s C spatial autocorrelation COVID-19
Acesso em linha:	https://www.geospatialhealth.net/gh/article/view/1277
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