地理空间认知是影响行为的主要动因，被认为是拓展新型GIS应用的关键所在，因此，开展实践性计算研究势在必行。居住区是地理实体群经围合所形成的相对独立区域，空间上约占城市面积的50%。课题以城市居住区为切入点，探索二维数字地图环境下的居住区识别计算方法，结合刑事犯罪统计数据，初步实践验证居住区空间形态特征与行为存在的定量关系。依据空间实体输入、范围确定、结构表达及识别求解顺序，以Voronoi邻域为核心支撑结构，主要研究内容包括：(1)地理实体多特征分类方法；(2)居住区Voronoi k阶邻域捕获模型；(3)居住区层次Voronoi图表达数据结构；(4)居住区识别计算；(5)原型软件研制与初步实践。以居住区识别为背景，阐明居住区形态变量的描述、计算与分析过程，从居住区空间形态角度初步实践盗窃犯罪行为的诱因，课题研究成果对发展地理空间认知计算、GIS Voronoi理论与方法具有重要价值。

Having been regarded as a new key point in expanding GIS application, geographical spatial recognition is the principal motive factor that has a great impact on the behaviors, therefore, practical computing is imperative. Urban community, be it a relative independent district, is surrounded by geographical entity group and its area occupied is about 50% in space. Taking the urban residential district as a breakthrough point, this topic exploits the recognition calculation method under two-dimensional digital map environment. Otherwise, in combination with the statistical incidents of criminal offence, quantity relationship between the feature of community spatial morphology and its existing behavior is initially tested and verified. In the sequence of spatial entity inputting, scope affirming, structure expressing and recognition resolving, taken as the core supported structure, the Voronoi neighbourhood contributes to the main research contents of the topic, including but not limited to: (1) Multi-characteristics classification method on geographical entity; (2) Voronoi k-order neighbourhood calculation model on urban community; (3) Hierarchical Voronoi data structure expression on urban community; (4) Recognition calculation on urban community; (5) Prototype software manufactures and its preliminary practice. Under the background of urban community recognition, the morphology variants is described, computed and analyzed practically in procedure, thus endeavoring to reveal criminal incentive accordingly. The achievement of this topic has a far-reaching influence on geographical spatial recognition calculation, GIS Voronoi theory and method.