基于空间约束和递归的图斑融合方法优化

Patch Merging Method Optimization Based on Spatial Restrain and Recursion

基于三调成果,叠加专题业务数据进行综合分析是今后自然资源管理工作的重要内容之一,由于分类体系、划界标准、数字化采集过程不一等因素,多源面状图斑要素数据进行空间叠加后会产生大量零碎多边形,严重干扰后续的数据建库和分析工作,必须先进行数据清理,消除碎小图斑。在分析ArcGIS消除工具的基础上,结合生产需求,提出了基于空间约束和递归的图斑融合优化方法,并利用Arcpy站点包开发了相应的工具。项目实践表明,该方法可以在基础图斑范围内有效批量消除零碎多边形,构建边界规整清晰的图斑图层,形成可靠的业务分析底图,满足数据建库和综合分析的需求。

Based on the results of the Third National Land Resource Survey,combined with thematic business data for comprehensive analysis is one of the important contents of natural resource management in the future.After overlap,a large number of fragmented polygons will be generated,which will seriously interfere with the subsequent data library construction and analysis work.On the basis of analyzing the ArcGIS’s eliminate tool,considering the production requirements,a patch elimination optimization method based on spatial constraints and recursion is proposed,and the corresponding tools are developed using the Arcpy site-package.Project practice shows that this method can effectively eliminate fragmented patches in large quantities within the spatial range of basic patches,build polygon layers with regular and clear boundaries,and form a reliable business analysis base map,which meets the needs of data database building and comprehensive analysis.