FACTORS INFLUENCE EVALUATION OF THE DISTRIBUTION OF RURAL RESIDENTIAL LAND IN GONG'AN COUNTY: A SPATIAL HETEROGENEITY STUDY BASED ON GEOGRAPHICALLY WEIGHTED REGRESSION
ZHENG Wen-sheng1,2, JIANG Yu-pei1,2, LI Xiao-huan1,2, LUO Jing1,2, WANG Xiao-fang1,2
1. Key Laboratory for Geographical Process Analysis & Simulation, Hubei Province, Central China Normal;University, Wuhan 430079, China;
2. Academy of Wuhan Metropolitan Area, Hubei Development and Reform;Commission & Central China Normal University, Wuhan 430079, China
Abstract：This paper tries to take the Gong'an County of Hubei Province as a study object, geographical weighted regression model and comprehensive effect analysis model as analytical model, using Arc GIS10.0spatial analysis function, select several geographical factors that impact the rural residential distribution, to analyze the spatial heterogeneity of rural residential distribution of Gong'an County, and the comprehensive impact of these factors. The results show that: 1) the terrain, river, traffic, population density, basic farmland,water source protection areas, nature reserves have profound influences upon the rural residential distribution in Gong'an County; 2) judging from the comprehensive influences of these factors, rural residential lands of Gong'an County can be divided into five types of districts; 3) To promote rural residential lands intensive,efficient use, and improve agricultural production and living conditions, rural ecological environment, the government should fully take the influences of various types of geographical factors and their comprehensive function into account in the future.
郑文升, 姜玉培, 李孝环, 罗静, 王晓芳. 公安县农村居民点用地分布影响因子评价——基于GWR的空间异质性分析[J]. 人文地理, 2015, 30(5): 71-76.
ZHENG Wen-sheng, JIANG Yu-pei, LI Xiao-huan, LUO Jing, WANG Xiao-fang. FACTORS INFLUENCE EVALUATION OF THE DISTRIBUTION OF RURAL RESIDENTIAL LAND IN GONG'AN COUNTY: A SPATIAL HETEROGENEITY STUDY BASED ON GEOGRAPHICALLY WEIGHTED REGRESSION. HUMAN GEOGRAPHY, 2015, 30(5): 71-76.
