基于城乡一体化思想,在分析乡村性内涵基础上,采用人口密度等指标构建乡村性评价体系,以全国第五、六次人口普查等数据为基础,借助SPSS、ArcGIS、Geoda软件,探讨了江苏省县域单元乡村性空间格局及影响因素。结果表明:(1)2000~2010年,江苏全省县域单元乡村性逐渐减弱,并呈现出阶梯状的空间分布态势;(2)各县域乡村性指数并不表现为完全随机状态,而是存在显著的正空间相关性。热点区域分布在沭阳县与泗阳县交界处为核心的圈层结构,冷点区域集中在乡镇工业发达的苏锡常地区;(3)社会环境、交通、资本、工业化和城市化、政策等因素是乡村性变化的主要影响因素;(4)未发现乡村性加强的现象;在数据可获得情况下,以乡镇为单元研究乡村性将具有更强的现实指导意义。
Countryside is an important geographical unit, and rural geography is always an important branch of human geography. Cities have always been the focus of human geography, but the rural study does not get enough attention.With the development of industrialization and urbanization, rural enclosed structure is broken, rural landscape and the form of community is undergoing changing, the country begins to transform into the city. Due to its own characteristics, different regions affected by urbanization influence degree differ, rurality shows a different state. Each zone can be seen as a unified urbanity and rurality, which has no breaking point. The evaluation of rural index should be able to fully reflect overall characteristics of county, the difference between village and city, namely, the basic properties of the rural characteristics. In this paper, we establish the evaluation index system including the proportion of primary industry employment, per capita GDP, population density, the proportion of primary industry output, the proportion of 20--49 year-old man and other indicators based on the connotation of rurality. We use land use change survey data, the Statistical Yearbook in Jiangsu province, the 5th and 6th national population census with the help of SPSS, ArcGIS, Geoda software to evaluate the rurality of 51 counties (county- level cities) in 2000 and 2010, which have great meanings not only for analyzing the degree of development of the national rural change, but also for supplying public services and finance in future, targeted measures to determine the direction of regional development. The results showed that. The rurality of county unit in Jiangsu province weakened gradually from 2000 to 2010, showing the spatial distribution of ladder-like situation. The rurality index of each county does not show completely random state, but there was a significant positive spatial correlation. Hotspots of rurality index in Jiangsu province located in the junction of Siyang and Shuyang with the core of the cir