{"title":"GIS空间数据标引技术研究","authors":"Li Wei, Xu Yuhan, Xu Xuerong","doi":"10.1109/ANTHOLOGY.2013.6784989","DOIUrl":null,"url":null,"abstract":"With the rapid development of computer technology, the application of GIS is increasingly widespread. Those GIS data which need to be processed become larger. So it's more and more important for high-speed and efficient query on the data. Spatial index is the vital technique for improving storage efficiency and affecting spatial retrieve performance of spatial data. This paper focuses on the technology of the spatial index in the hashing and quadtree-based.","PeriodicalId":203169,"journal":{"name":"IEEE Conference Anthology","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research of indexing techniques for GIS spatial data\",\"authors\":\"Li Wei, Xu Yuhan, Xu Xuerong\",\"doi\":\"10.1109/ANTHOLOGY.2013.6784989\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of computer technology, the application of GIS is increasingly widespread. Those GIS data which need to be processed become larger. So it's more and more important for high-speed and efficient query on the data. Spatial index is the vital technique for improving storage efficiency and affecting spatial retrieve performance of spatial data. This paper focuses on the technology of the spatial index in the hashing and quadtree-based.\",\"PeriodicalId\":203169,\"journal\":{\"name\":\"IEEE Conference Anthology\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Conference Anthology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANTHOLOGY.2013.6784989\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Conference Anthology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANTHOLOGY.2013.6784989","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research of indexing techniques for GIS spatial data
With the rapid development of computer technology, the application of GIS is increasingly widespread. Those GIS data which need to be processed become larger. So it's more and more important for high-speed and efficient query on the data. Spatial index is the vital technique for improving storage efficiency and affecting spatial retrieve performance of spatial data. This paper focuses on the technology of the spatial index in the hashing and quadtree-based.