Spatial databases—creative future concepts and use

Part of the GeoComputation '96 Special Issue 96/25; follow the "related link" to download the entire collection as a single document.There is continuing pressure to develop spatial information systems. This paper develops two concepts that could emerge. The first is a new spatial paradigm—an holistic model—which is less of an abstraction from reality than current models. Second, is the concept of federated databases for the improved and transparent access to data by disparate users. The latter concept is hardly new and is included in this paper to emphasize its growing importance. These two developments are presented after a introductory discussion of the present state of the discipline of geographical information systems and spatial analysis.UnpublishedBRODLEY, C., 1993. Addressing the Selective Superiority Problem: Automatic Algorithm/Model Class Selection, In Proc., of 10th Machine Learning Conference 17-24, Morgan Kaufmann. FRAWLEY, W., PIATETSKY-SHAPIRO, G. and MATHEUS, C. 1992. Knowledge Discovery in Databases: An Overview. AI Magazine, Fall issue. MICHALSKI, R. and TECUCI, G., 1993. Editors, Machine Learning: A Multistrategy Approach, Volume IV. Morgan and Kaufmann. PURVIS, M.K., GASKIN, C., SMITH, I., and MCLENNAN, B.R., l993. Life at Taiaroa Head (Pukekura). Fifth Annual Colloquium of the Spatial Information Research Centre, Proceedings. Eds. BENWELL, G.L. and SUTHERLAND, N.C. Dunedin, University of Otago, New Zealand, pp265-278. ZIARKO, W., 1993. Rough Sets and Knowledge Discovery: An Overview, in Rough Sets, Fuzzy Sets and Knowledge Discovery, Workshops in Computing, Ed. C.J. van Rijsbergen, pp11-15, Springer-Verlag