{"title":"Cluster based Indexing for Spatial Analysis on Read-only Database","authors":"Chiu-Wing Sham, K. Cheung, Chung Yim Edward Yiu","doi":"10.1109/ICASI57738.2023.10179500","DOIUrl":null,"url":null,"abstract":"The one-time analysis is a widely-used method in spatial analysis, as it allows researchers to obtain raw data from a database and use a computer program to reconstruct a one-time database for analysis. However, this process can be resource-intensive, as the spatial database is typically read-only and requires the use of a complex data structure. In this paper, we propose the use of a cluster-based index (CBI) as a solution to these issues. CBIs are a type of indexing technique that can be used to improve the efficiency of spatial queries in read-only databases. By using a CBI, we can reduce the overhead of computations and significantly improve the execution time of spatial analysis.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 9th International Conference on Applied System Innovation (ICASI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASI57738.2023.10179500","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
The one-time analysis is a widely-used method in spatial analysis, as it allows researchers to obtain raw data from a database and use a computer program to reconstruct a one-time database for analysis. However, this process can be resource-intensive, as the spatial database is typically read-only and requires the use of a complex data structure. In this paper, we propose the use of a cluster-based index (CBI) as a solution to these issues. CBIs are a type of indexing technique that can be used to improve the efficiency of spatial queries in read-only databases. By using a CBI, we can reduce the overhead of computations and significantly improve the execution time of spatial analysis.