Extending a DBMS for geographic applications

Abstract

A method is presented for extending a conventional DBMS (database management system) for geographic applications. The interface language SQL is augmented to allow formulation of queries involving both spatial and nonspatial selection criteria. A novel indexing structure is supported to facilitate query retrieval that is based on spatial proximity. To enable hybrid queries to be evaluated efficiently, an extended optimization strategy is proposed that evaluates minimal implementation effort.<>