Transformation of Spatial Data Format for Interoperability between GIS Applications

In todays information age, an application to be claimed being interoperable has many benefits and advantages. Our attempt is to propose transformation methods on spatial attributes so that interoperability between spatial data can be obtained. Interoperability state can only be obtained by equalizing two attributes utilized in identifying a location, which are coordinate of the location and LoD of the spatial data through transformation processes. We use GlobalBase & Google Maps as the case study to verify the proposed transformations. Through running some experiments we showed the utilizations of the proposed transformation.