Spatial prediction of the number of wildfire hotspots using negative binomial conditional autoregressive random forest

BACKGROUND AND OBJECTIVES: Predicting the spatial distribution of wildfire hotspots is crucial for forest fire mitigation, particularly in high-risk regions such as Kalimantan Island, Indonesia. These hotspots are locations with thermal anomalies above normal background temperature. An integrated fr...

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Egile Nagusiak:	I. Azis, A. Djuraidah, M.N. Aidi, Indahwati, A. Sopaheluwakan
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	GJESM Publisher 2025-10-01
Saila:	Global Journal of Environmental Science and Management
Gaiak:	conditional autoregressive hotspots negative binomial distribution random forest spatial model
Sarrera elektronikoa:	https://www.gjesm.net/article_728840_373361e4e53d331ade23afbedc13c8bf.pdf
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