The integration method of cellular automata(CA) J-Markov chain(MC), West Java´s Northern part characteristics for land cover change prediction study

Land Use-Cover Change (LUCC) is one of the important factors that influence the global environment. In an effort to find out and understand the phenomenon of land change among others, can be approached through land cover change modeling. This model can be used as a tool to support the analysis about the causes of land cover change and its´ consequences, to find out and understand the functions of the land system, and also to support the planning and land cover policy. There have been many models developed. Although the aim of modeling are same, but the location and time factors helped determine the research outcome. The outcome is also associated with human characteristics (habits/way of life) and site conditions in each area/region which have different characteristics. West Java Region´s Northern Area as the study area have sustainable agricultural, industrial, oil and gas, coastal and marine areas. The phenomena of land cover change can be identified and approached through modeling process. One of the method is integration of Cellular Automata (CA) and Markov Chain (MC) method. Based on the ability of CA-MC method, we build a predictive spatial model of land cover change. The existence of a number of characteristics in the West Java northern area in this modeling process will affect the results. The probability of land cover change in the past is assumed and utilized for land cover change probability in the future. Overall, the level of accuracy obtained from CA-MC model is 92.47%, with the nearest neighborhood size 3 × 3. These result shows the integration of CA-MC method with the nearest neighborhood is able to improve the accuracy predicted value.