A method of avoiding crack for compressing polygon data by topological data conversion
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摘要: 以林权地籍调查数据为基础，在拓扑数据转换、Douglas-Peucher边界线压缩、负缓冲区分析和空间连接方法的基础上，提出了消除多边形地块压缩边界缝隙的问题。研究结果表明：①该方法有效地消除了多边形数据压缩裂缝，实现了多边形地块数据的保真压缩；②完整地保留了多边形地块数据的空间拓扑关系和属性数据。该方法对于林权调查地图数据综合和其他格式的文件数据压缩处理均有一定的参考价值。图7参12Abstract: On the basis of cadastral survey data for forestry tenure，and with the methods of topological data conversion，common boundary compression by Douglas-Peucher algorithm，negative buffer analysis and spatial join，the paper proposes how to eliminate the crack issue of polygon plots compression. The research results have the following implications：（1） the joint method is effective to eliminate the crack of polygon data compression，so as to achieve the high-fidelity compression of polygon data；（2） the topology relation and the attribute data of polygon data are completely maintained. This joint method is of value to process cartographic generalization for forestry tenure and to compress a variety of formats for vector files. ［Ch，7 fig. 12 ref.］
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Key words:
- forest management /
- polygon compression /
- crack /
- negative buffer analysis /
- spatial topology
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链接本文:
https://zlxb.zafu.edu.cn/article/doi/10.11833/j.issn.2095-0756.2011.04.012
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