Comparative Study on CA-Markov Model and CLUE-S Model for Land Use Changed Prediction in National Reserved Forest, Nan Province

Abstract

The objectives of this study to study CA-Markov model and CLUE-S model for land use prediction in National Reserved Forest, Nan Province and land use prediction in National Reserved Forest, Nan Province in 2020. This study found that CA-Markov model indicated that overall accuracy percentage 90.95 and Kappa statistic at 0.80 and CLUE-S model indicated that overall accuracy percentage 91.96 and Kappa statistic at 0.82. The result indicate the CA-Markov model could predict land use from data in both period. And CLUE-S model must have the factor for finding relationship between class of land use and other factor. Therefore, the result of CLUE-S model was usefulness than CA-Markov model.