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Geometric Matching of Areas Comparison Measures and Association Links

机译:区域比较度量和关联链接的几何匹配

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Increasingly, GIS user communities are faced with problems in combining data from multiple sources. Current implmentations of GIS overlay simply do not provide the necessary control for combining data required in these complex, heterogeneous environmetns. Areas are merged solely on geometric criteria. In this paper we look at a procedure for analyzing and describing semantic relationships between different areal data sets. thi work links semantic considerations through geometric operators on feature inclusion and proximity. It connects to previous work dealing with the geometric matching of lines, but focuses on semantic issues. Issues in areal geoemtric matching are significantly differnet and therefore require differnet GIS operations. This paper describes a methodology that uses geometric operators to elaborate semantic similarities in different coverages through geometric operations. Implemented through association links and filter operations, these oeprators relate individual polygons from different sourcws. A table contains these assocation links for the filtering operations. We look in this paper at fundamental issues and basic operations for matching areas using geometric measures that address semantic issues.
机译:GIS用户社区越来越多地面临着合并来自多个来源的数据的问题。当前GIS叠加层的实现方式根本无法为组合这些复杂的异构环境中所需的数据提供必要的控制。仅根据几何条件合并区域。在本文中,我们着眼于分析和描述不同面数据集之间的语义关系的过程。这项工作通过几何运算符将语义考虑因素与特征包含和邻近性联系起来。它与以前处理线的几何匹配的工作相联系,但重点是语义问题。面积地学匹配中的问题存在很大差异,因此需要不同的GIS操作。本文介绍了一种方法,该方法使用几何运算符通过几何运算详细说明了不同覆盖率中的语义相似性。通过关联链接和过滤操作实现的这些运算符将来自不同源的各个多边形关联起来。表格包含用于过滤操作的这些关联链接。我们在本文中着眼于使用解决语义问题的几何度量来匹配区域的基本问题和基本操作。

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