面状要素空间邻近度量化模型

Quantitative Models of Proximity for Area Features

分析了现有邻近度模型的局限性,形成了形心线内距、形心线外距、边界顺向延伸长度决定面域邻近度的认知框架,提出了纵向、横向及综合邻近度3个指标。应用面域边界线对形心线的划分及约束性Delaun-ey三角网对这些指标进行了建模,给出了面域数据层邻近度的数据结构及建立方法。

By means of spatial relation analysis, we discussed the limitations of current prox imity models among area features, and formed a cognitive framework that external and internal distance between central points, tendency length of boundaries are the three key-factors of this issue. We proposed the lateral, the depth and the whole proximity, and set up the quantitative models based on partitioning central line by boundaries and constrained Delaunay triangular network. Finally we defined the data structures and constrcting methods of proximity for area features layer.