Open AccessGIS-BASED FOREST FIRE SUSCEPTIBILITY ASSESSMENT BY RANDOM FOREST, ARTIFICIAL NEURAL NETWORK AND LOGISTIC REGRESSION METHODS
Author(s) -
raheleh eslami,
Mohammadreza Azarnoush,
A Kialashki,
F Kazemzadeh
Publication year - 2021
Publication title -
journal of tropical forest science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.297
H-Index - 30
eISSN - 2521-9847
pISSN - 0128-1283
DOI - 10.26525/jtfs2021.33.2.173
Subject(s) - logistic regression , random forest , artificial neural network , forestry , machine learning , geography , artificial intelligence , computer science