Predicting forest fire kernel density at multiple scales with geographically weighted regression in Mexico-Reference-Cited by-同舟云学术

Predicting forest fire kernel density at multiple scales with geographically weighted regression in Mexico

Published:2020-05 Issue: Volume:718 Page:137313
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Monjarás-Vega Norma Angélica,Briones-Herrera Carlos Ivan,Vega-Nieva Daniel José^ORCID,Calleros-Flores Eric,Corral-Rivas José Javier,López-Serrano Pablito Marcelo,Pompa-García Marín,Rodríguez-Trejo Dante Arturo,Carrillo-Parra Artemio,González-Cabán Armando,Alvarado-Celestino Ernesto,Jolly William Matthew

Funder

CONAFOR

CONACYT

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

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