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中文摘要：
以遥感数据及相关空间信息为数据源，通过地理信息系统空间建模的方式来分析重庆市社会经济系统空间结构。采用了表征区域社会经济发展状况的七大社会经济指标，并以空间趋势面的方式构建了各指标的空间数据模型。以此为基础采用空间聚类算法进行聚类分析，划定了重庆市的基本空间类型区。借助空间分形维数、类型优势度等空间结构分析指标，对重庆市市域及其三大经济分区的空间结构进行了分析，明晰了重庆市社会经济系统空间结构的基本特征及区域经济发展基本态势。
英文摘要：
Taking RS and some other related spatial information as data sources, this paper analyzed the socio-economic spatial structure of Chongqing with GIS spatial modeling mode. At first, this paper introduced the related background and analyzed the logical pattern for mapping and inversing soco-economic system with GEO-INFO mode, technical outline of this research had been confirmed at the very beginning. With the help of basic spatial model--trend surface, this paper build seven trend surface models for late analyses, those trend surface includ- ed： population density trend surface, population activity strength trend surface, city-town spatial density trend surface, ratio of urbanization trend surface, road density trend surface, GDP density trend surface and average GDP density trend surface. The methods to build trend surfaces included： Kriging interpolate model, density mapping and GIS-software＇ s grid calculator. Helping with this result trend surfaces, this paper used Fuzzy ISODATA （ Fuzzy Iterative Serf-Organizing Data Analysis Techniques Algorithm） techniques algorithm synthetically to analyz those data, and subdivided Chongqing into three regional types： Ⅰ , urban-oriented, Ⅱ, transition region, In, rural-first industry-oriented region. Contrasted with the economic regions of Chongqing, the clustered result had some different traits compared with the imagination of local government. To get more information of regional economic spatial structure, this paper used some spatial structure measure models which is come from Landscape Ecology, including： type dominance index （ TDI）, patch density （ PD）, edge density （ ED）, type diversity index （TDI） and mean patch fractal dimension（MPFD）. Helped with these indicators, this paper analyzed the detail information of cluster result. Through the calculation process, some useful information can be drawn out. For example, with this calculation process, the proportion basic type area can be confirmed： type Ⅰ is 9.72% , type Ⅱ is 36
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