An integrated GIS-based multivariate adaptive regression splines-cat swarm optimization for improving the accuracy of wildfire susceptibility mapping

A hybrid machine learning method is proposed for wildfire susceptibility mapping. For modeling a geographical information system (GIS) database including 11 influencing factors and 262 fire locations from 2013 to 2018 is used for developing an integrated multivariate adaptive regression splines (MAR...

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Autors principals:	Tao Hai, Biju Theruvil Sayed, Ali Majdi, Jincheng Zhou, Rafid Sagban, Shahab S. Band, Amir Mosavi
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2023-12-01
Col·lecció:	Geocarto International
Matèries:	wildfire susceptibility geospatial machine learning cat swarm optimization artificial intelligence natural hazard
Accés en línia:	http://dx.doi.org/10.1080/10106049.2023.2167005
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