Open AccessA SPATIAL MODEL FOR PREDICTING THE OCCURENCES OF DEFORESTATION IN THE ISLAND OF SUMATRA, INDONESIA
Author(s) -
Muhammad Nur Aidi,
Sandhi Imam Maulana
Publication year - 2020
Publication title -
journal of sustainability science and management/journal of sustainability science and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.175
H-Index - 14
eISSN - 2672-7226
pISSN - 1823-8556
DOI - 10.46754/jbsd.2020.08.007
Subject(s) - deforestation (computer science) , categorical variable , logistic regression , regression analysis , flexibility (engineering) , geography , geographically weighted regression , land use , driving factors , spatial analysis , econometrics , statistics , computer science , mathematics , ecology , remote sensing , biology , programming language , archaeology , china
This study primarily aims to develop a spatial model for predicting the occurrences of deforestation in Sumatra Island, Indonesia. This study was conducted based on spatial logistic regression approach that has been widely acknowledged for its flexibility and ability to accept a mixture of both categorical and numerical variables. Result of this study shows that a combination between logistic regression-based modelling and Geographical Information System (GIS) is indeed suitable for determining the probability of deforestation occurrences in Sumatra Island. Analysis conducted in this study has also revealed that physiographic variables, soil type variables, as well as human activity variables have high significant correlation with deforestation. These findings are useful to assist policy makers in Indonesia to understand the process of deforestation and to take it into consideration while formulating land use-related decisions.