千葉県流山市南西部における土地利用変化NNモデルの構築

細密数値情報を用いた変化要因分析

抄録

In this paper, the land use change was analyzed and estimated using artificial neural network model to get three conclusions. First, it was shown by the quantitative analysis of the land use change that the direction of land use is mainly to housing lot. Second, the land use category division model gave the best estimation to landuse change and it estimated 79% correct landuse. Third, the influence-degree of the change factor was calculated, and found that the distance from the station, the increase of population density and the gradient of the land are the most influential three factors.