Increasing GeoComputational Interoperability: Towards a Standard GeoComputation API

Yunping Liu, GeoVISTA Center, Department of Geography, Pennsylvania State University, Mark Gahegan, GeoVISTA Center, Department of Geography, Pennsylvania State University, and James Macgill, GeoVISTA Center, Department of Geography, Pennsylvania State University

6/20/2008
(Original Publish Date: 8/1/2005)

The progress of GeoCompuation research has brought us a rich set of effective computational methods for solving geospatial problems. To increase the interoperability of these methods, we have to deal with the diversity and heterogeneity ingrained in the plurality and inclusiveness of GeoComputation. Current GeoComputational interoperability research mostly focuses on interoperability issues related to geospatial data and services producing it instead of the computational methods in GeoComputation. To address this deficiency, we propose a framework to increase the interoperability of computational methods in GeoComputation. To demonstrate the utility of the proposed framework, we adapted and implemented much of the new Java Data Mining API to support the integration of data mining methods with GeoComputation tools to provide better solutions for geospatial problems.