{"title":"大规模地理空间光栅的高效直方图支持基于web的查询","authors":"Simin You, Jianting Zhang","doi":"10.1145/2070770.2070779","DOIUrl":null,"url":null,"abstract":"This demonstration paper reports our design and implementation of a Web-based system that supports efficient histogramming of large-scale geospatial rasters using either rectangular or arbitrarily shaped polygons interactively drawn by users at the client side. By combining two performance boosting techniques, namely materialized histograms and compressed tiles, experiments using 50 random Region of Interests (ROIs) show that our approach is several times faster than straightforwardly scanning all raster tiles that intersect with the ROIs.","PeriodicalId":246527,"journal":{"name":"Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient histogramming of large-scale geospatial rasters in supporting of web-based queries\",\"authors\":\"Simin You, Jianting Zhang\",\"doi\":\"10.1145/2070770.2070779\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This demonstration paper reports our design and implementation of a Web-based system that supports efficient histogramming of large-scale geospatial rasters using either rectangular or arbitrarily shaped polygons interactively drawn by users at the client side. By combining two performance boosting techniques, namely materialized histograms and compressed tiles, experiments using 50 random Region of Interests (ROIs) show that our approach is several times faster than straightforwardly scanning all raster tiles that intersect with the ROIs.\",\"PeriodicalId\":246527,\"journal\":{\"name\":\"Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2070770.2070779\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2070770.2070779","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient histogramming of large-scale geospatial rasters in supporting of web-based queries
This demonstration paper reports our design and implementation of a Web-based system that supports efficient histogramming of large-scale geospatial rasters using either rectangular or arbitrarily shaped polygons interactively drawn by users at the client side. By combining two performance boosting techniques, namely materialized histograms and compressed tiles, experiments using 50 random Region of Interests (ROIs) show that our approach is several times faster than straightforwardly scanning all raster tiles that intersect with the ROIs.