GIS和人工神经网络在现代土地利用变化预测中的应用研究

It introduced the based principle of forecasting land use change after using the LTM based on GIS which has been analyzed by ANNs. This given method integrate the function of spatial analysis of GIS and the function of information disposal of ANNs, and elicit more exact result after analyzing factors that impact land use change. Using GIS and ANNs to forecast land use change not only could take good advantage of original data and get explicit predictor variable, but also integrate relative factors to get new spatial data layer as input data for ANNs, and take advantage of the analysis ability resembling the brain of ANNs to forecast the developing trend of land use, which be good for department of land management an d urban plan to use land resource effectively.