Understanding the spatial non-stationarity in the relationships between malaria incidence and environmental risk factors using Geographically Weighted Random Forest: A case study in Rwanda.
As found in the health studies literature, the levels of climate association between epidemiological diseases have been found to vary across regions. Therefore, it seems reasonable to allow for the possibility that relationships might vary spatially within regions. We implemented the geographically...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PAGEPress Publications
2023-05-01
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| Series: | Geospatial Health |
| Subjects: | |
| Online Access: | https://geospatialhealth.net/index.php/gh/article/view/1184 |