RAINFALL MODELING USING THE GEOGRAPHICALLY WEIGHTED POISSON REGRESSION METHOD
Rainfall is an important parameter in understanding the climate and environment in the Malang Regency area. This research aims to model the distribution of rainfall in this region using the Geographically Weighted Poisson Regression (GWPR) method. GWPR is a spatial statistical approach that allows u...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Universitas Pattimura
2024-03-01
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| Серія: | Barekeng |
| Предмети: | |
| Онлайн доступ: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/10668 |
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