{"title":"A fast algorithm of geometry generalization","authors":"Yuwei Wang, Danhuai Guo, Kuien Liu, Yan Xiong","doi":"10.1145/2666310.2666420","DOIUrl":null,"url":null,"abstract":"Map generalization is commonly used in many GIS applications to produce maps with less detail so as to reduce the mapping complexity. Different from common simplifying strategies which simplify individual geometry objects separately, in this paper we consider the problem of generalizing the geometry objects under the topological constraints among the geometries and given constraining points. We propose a Cross-line algorithm to simplify the map while preserving the topological constraints. The proposed algorithm is extensively evaluated on five real map datasets and large synthetic datasets, and the results show that our proposed approach can greatly simplify the map with extremely high correctness and excellent efficiency.","PeriodicalId":153031,"journal":{"name":"Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":"1008 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2666310.2666420","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Map generalization is commonly used in many GIS applications to produce maps with less detail so as to reduce the mapping complexity. Different from common simplifying strategies which simplify individual geometry objects separately, in this paper we consider the problem of generalizing the geometry objects under the topological constraints among the geometries and given constraining points. We propose a Cross-line algorithm to simplify the map while preserving the topological constraints. The proposed algorithm is extensively evaluated on five real map datasets and large synthetic datasets, and the results show that our proposed approach can greatly simplify the map with extremely high correctness and excellent efficiency.