Cluster based Indexing for Spatial Analysis on Read-only Database

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.