Geohash index based spatial data model for corporate

Spatial data wrapped and processed by an application known as Geographic Information Systems (Geographical Information System / GIS). In desktop based GIS, the spatial information services only occurs when a variety of basic data has been loaded into the applications database. The development of information technology has provide ready to access, worldwide scale, web based mapping system, like Google Maps. The addition of the information content to the map can also be done easily by any user into the system. Until now, both the basic data provided by Google Maps or data that is added by users are loosely connected, meaning that there are minimum linkage between data. Thus, the data for greater benefit of a corporation or government where the data is closely related to each other still yet to be served. As spatial data being managed are voluminous, the scalability of querying performance will be a challenge. To anticipate this, we describe an improvement that built on top of our proposed spatial data model. We used a special data which derived by interleaving bits obtained from latitude-longitude pairs of a spatial data, the string called geohash. A geohash can be used as an index of every object in Spatial data table. The longer the Geohash string, the more precise the bounding box around the location it references. This approach will improve the performance of querying process of a single or even collection of spatial data in the data table of corporate GIS. The main study of this research is to provide information services along with the availability of a variety of basic spatial data owned by Google Maps. This paper highlights our recent effort in theoretical and applied research in spatial data management.