基于空间推理及语义的图斑扣除线状地物面积关键算法及其在土地调查建库中的应用

Key Algorithms of Parcel Deduction Linear Features Areas Based on Spatial Reasoning and Semantic and Its Application in Land Survey and Database Establishment

采用基于空间推理及语义的空间分析建模方法,从物体空间关系的4交集及9交集表达模型出发,详细讨论了空间线面的各种关系可能,并结合地图上基本拓扑语义对其加以归并,他们分别对应于土地利用现状调查建库中图斑扣除线状地物面积的3种方式,这3种方式可利用"微圆"的思想加以区分。最后利用Arcgis空间建模工具开发出图斑扣除线状地物面积的模块。属性检查的结果显示,该方法是正确的和高效的。实验表明,基于现有GIS平台实现较为复杂的空间建模是可行的,可为用户节约建库成本。

Spatial analysis modeling method based on spatial reasoning and semantic was used in this paper.Beginning with the 4-intersection and 9-intersection expressions of object＇s spacial relation,this paper discussed all possible relationships between a Line and Region.Then different relationships were divided into several categories based on topological semantic.And these categories respectively corresponded to the three kinds of area deduction of polyline features in polygon features.All the three kinds of area deduction could be distinguished by a method called ＂tiny round＂.Finally,an application module was developed by using the modeller tools of Arcgis.Attribute inspection results indicated that the method was correct and efficient.Experiments shown that,based on the existing GIS platform to achieve comparatively complicated space modeling was feasible,which could save the cost of database construction in land survey.