Predicting forest fire kernel density at multiple scales with geographically weighted regression in Mexico
Norma Angélica Monjarás-Vega, Carlos Iván Briones-Herrera, Daniel José Vega-Nieva, Eric Calleros-Flores, José Javier Corral‐Rivas, Pablito Marcelo López‐Serrano, Marín Pompa-García, Dante Arturo Rodrı́guez-Trejo, Artemio Carrillo-Parra, Armando González‐Cabán, Ernesto Alvarado-Celestino, W. Matt Jolly
Topics & Concepts
Geographically Weighted RegressionGeographyRegressionKernel density estimationLogistic regressionRegression analysisCartographyStatisticsForestryPhysical geographyEnvironmental scienceMathematicsEstimatorFire effects on ecosystemsRangeland and Wildlife ManagementForest ecology and management