THE INTEGRATION OF THE CLUE-S MODEL WITH GEOGRAPHIC INFORMATION SYSTEMS (GIS) ENHANCES LAND USE PLANNING

Tóm tắt

Land use planning consists of two main components: land evaluation and spatial allocation of land use plans. Land evaluation is conducted using the maximum limitation method and multi-criteria evaluation (MCE). The CLUE-S model enhances this process by applying logistic regression analysis to assess land suitability. For spatial allocation, CLUE-S employs Cellular Automata (CA) as a primary method, integrating it with decision rules and Markov analysis. In this study, the integration of CLUE-S and Geographic Information Systems (GIS) was applied in Cat Tien district, Lam Dong province, focusing on three land use types: rice, cashew, and vegetables. Three logistic regression models were developed based on 17 property classes of land characteristics, with the area under the ROC curve (AUC) used to measure the Goodness of Fit (GoF). Parameters β (significance code < 5%) were utilized for land suitability mapping. Using demand tables and land suitability maps, CLUE-S allocated land use for each year up to 2030, producing simulated land use maps for the planning period. This integration of CLUE-S and GIS serves as a valuable tool for land use planners and policymakers, facilitating the analysis of land use changes and complementing existing methods for effective land use planning.