A Study of Land Ecological Environment Evaluation Based on an Ideal Point Model

The paper took Guang’an City in Sichuan Province of China as a research region, and it built an evaluation index system based on 14 indices according to four criteria, namely, ecological background, structure, benefits, stress. Delphi algorithm entropy weight (a combination subjective objective methods) were used calculate the value each index, ideal point model was value. grade classified, principal component analysis method obtain main control factors year, which revealed relationship between distribution points environmental impact factor, with changing characteristics ecology region hotspot spatial differentiation land quality factor. Lastly, also analyzed Guangan 2000, 2005, 2010, 2015. study results show that overall generally increased from 2005 proportion forest area temperature most important factors. air positively correlated.