{"title":"地理空间环境下时空数据的逻辑索引高效查询处理","authors":"Papiya Bala, S. Hemamalini","doi":"10.1109/ICSCAN.2019.8878743","DOIUrl":null,"url":null,"abstract":"Presently a days remarkable improvement of the web innovation and sensor innovation, the worldwide spatial information, alongside its huge volume and multi-scale highlights, clarifies higher prerequisites for information association. The spatial network has been generally utilized in many guide list. In any case, when spatial articles have multi-scale, the spatial matrix list with proportionate networks has been critized for its low-efficiencies. To tackle this issue, here proposed an intelligent list just as upset record dependent on GeoSOT subdivision lattices. By methods for this list, we can accomplish question task productively paying little heed to the sizes of spatial articles.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Efficient Query Processing With Logical Indexing For Spatial and Temporal Data in Geospatial Environment\",\"authors\":\"Papiya Bala, S. Hemamalini\",\"doi\":\"10.1109/ICSCAN.2019.8878743\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presently a days remarkable improvement of the web innovation and sensor innovation, the worldwide spatial information, alongside its huge volume and multi-scale highlights, clarifies higher prerequisites for information association. The spatial network has been generally utilized in many guide list. In any case, when spatial articles have multi-scale, the spatial matrix list with proportionate networks has been critized for its low-efficiencies. To tackle this issue, here proposed an intelligent list just as upset record dependent on GeoSOT subdivision lattices. By methods for this list, we can accomplish question task productively paying little heed to the sizes of spatial articles.\",\"PeriodicalId\":363880,\"journal\":{\"name\":\"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCAN.2019.8878743\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCAN.2019.8878743","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient Query Processing With Logical Indexing For Spatial and Temporal Data in Geospatial Environment
Presently a days remarkable improvement of the web innovation and sensor innovation, the worldwide spatial information, alongside its huge volume and multi-scale highlights, clarifies higher prerequisites for information association. The spatial network has been generally utilized in many guide list. In any case, when spatial articles have multi-scale, the spatial matrix list with proportionate networks has been critized for its low-efficiencies. To tackle this issue, here proposed an intelligent list just as upset record dependent on GeoSOT subdivision lattices. By methods for this list, we can accomplish question task productively paying little heed to the sizes of spatial articles.