Mastering geographically weighted regression: key considerations for building a robust model.
- Published in:
- Geospatial Health, 2024, v. 19, n. 1, p. 72, doi. 10.4081/gh.2024.1271
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- Publication type:
- Article
Works matching IS 18271987 AND DT 2024 AND VI 19 AND IP 1
Results: 8
1
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A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment.
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- Geospatial Health, 2024, v. 19, n. 1, p. 61, doi. 10.4081/gh.2024.1264
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- Publication type:
- Article
3
Spatial clusters of human and livestock anthrax define high-risk areas requiring intervention in Lao Cai Province, Vietnam 1991-2022.
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- Geospatial Health, 2024, v. 19, n. 1, p. 52, doi. 10.4081/gh.2024.1253
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- Publication type:
- Article
4
Aspects of public health development in China's western region.
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- Geospatial Health, 2024, v. 19, n. 1, p. 42, doi. 10.4081/gh.2024.1252
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- Publication type:
- Article
5
Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight.
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- Geospatial Health, 2024, v. 19, n. 1, p. 27, doi. 10.4081/gh.2024.1249
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- Publication type:
- Article
6
Spatial associations between chronic kidney disease and socio-economic factors in Thailand.
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- Geospatial Health, 2024, v. 19, n. 1, p. 21, doi. 10.4081/gh.2024.1246
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- Publication type:
- Article
7
Spatial-temporal risk factors in the occurrence of rabies in Mexico.
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- Geospatial Health, 2024, v. 19, n. 1, p. 11, doi. 10.4081/gh.2024.1245
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- Publication type:
- Article
8
Spatial and spatio-temporal clusters of lung cancer incidence by stage of disease in Michigan, United States 1985-2018.
- Published in:
- Geospatial Health, 2024, v. 19, n. 1, p. 1, doi. 10.4081/gh.2024.1219
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- Publication type:
- Article