Optimal query processing on geo-spatial objects

Information located on Earth's surface is called as Geo-spatial if it is mapped using coordinates. Geo-spatial data is collection of all geographical demographics present on the earth and mapped using Global Information System. Query processing on such data opens a whole new dimension in technology, enabling people from multiple sectors to analyze and benefit from it. This paper proposes a query processor for Geo-spatial data stored in spatial database and its corresponding query language. The proposed strategy breaks the user given query into two parts, relational and spatial. The relational part involves queries on properties of objects, such as name, population, etc., while the spatial part involves queries on the geometric aspect of objects, such as intersection or union of shapes. This query when fired on the database, returns a set of filtered candidates of which the false hits are eliminated to give the final result.