Automated building generalization based on urban morphology and Gestalt theory
Automated building generalization based on urban morphology and Gestalt theory
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基于城市形态和格式塔理论的自动化建筑概括
DOI：
10.1080/13658810410001702021
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发表时间：
2004-07-01
影响因子：
5.7
通讯作者：
Chen, J
中科院分区：
文献类型：
--
作者：
Li, Z;Yan, H;Chen, J
由于建筑物空间分布的复杂性和空间识别的原因，建筑物综合是一个困难的操作。在本研究中，建筑物综合被分解为两个步骤，即建筑物分组和综合执行。城市形态学中的街区模型提供了全局约束，用于通过道路和河流指导整个地图上建筑集的全局划分，从而形成飞地、街区、超级街区或街区;而来自完形原则的局部约束为飞地、街区、超级街区和/或街区的进一步分组提供了标准。在分组过程中，图论，Delaunay三角剖分和Voronoi图作为支持技术。分组后，一些有用的信息，如建筑物的面积之和，平均分离和建筑物分离的标准差，被附加到每个组。通过附加的信息，选择适当的操作来概括相应的组。事实上，所描述的方法汇集了一些发达的理论/技术，包括图论，Delaunay三角测量，Voronoi图，城市形态学和完形理论，以这样的方式，多尺度产品可以得到。
Building generalization is a difficult operation due to the complexity of the spatial distribution of buildings and for reasons of spatial recognition. In this study, building generalization is decomposed into two steps, i.e. building grouping and generalization execution. The neighbourhood model in urban morphology provides global constraints for guiding the global partitioning of building sets on the whole map by means of roads and rivers, by which enclaves, blocks, superblocks or neighbourhoods are formed; whereas the local constraints from Gestalt principles provide criteria for the further grouping of enclaves, blocks, superblocks and/or neighbourhoods. In the grouping process, graph theory, Delaunay triangulation and the Voronoi diagram are employed as supporting techniques. After grouping, some useful information, such as the sum of the building's area, the mean separation and the standard deviation of the separation of buildings, is attached to each group. By means of the attached information, an appropriate operation is selected to generalize the corresponding groups. Indeed, the methodology described brings together a number of well-developed theories/techniques, including graph theory, Delaunay triangulation, the Voronoi diagram, urban morphology and Gestalt theory, in such a way that multiscale products can be derived.