STUDI KASUSINVESTIGASI MODEL BINARY LOGISTIC REGRESSION DAN RANTAI MARKOV UNTUK PREDIKSI PERUBAHAN TUTUPAN LAHAN DI BANDUNG
Land cover change is one of the main issues that occur worldwide. In particular the state of Indonesia which has a population high enough will certainly affect land cover change. More broadly land cover change will affect the global climate change. It is necessary for an effort to know the state of land cover in the future as an input in policy making. Modeling developments in the field of geographic information systems and remote sensing can help in predicting changes in land cover that occur in a region. One land cover modeling methods that can be used to predict changes in land cover is a binary logistic regression (BLR) and Markov chain (RM). Both of these models can be used to predict l and c over change for changes in the future. Studies using this model is done in Bandung area as case study areas. In this study the incorporation of BLR and RM models. The results from the merger of this model shows the level of accuracy of 70.1% and has a value of 0,548 KIA (moderate).