| Egenhofer, M.J., Glasgow, J., Gnther, O., Herring, J.R., Peuquet, D.J.: Progress in Computational Methods for Representing Geographic Concepts. Int. J. Geographical Information Science 13(8) (1999) 775-796. |
....data stored in the underlying spatial database. Preliminary experimental results have been obtained by running SPADA on geo referenced census data of Manchester Stockport, UK. 1 Introduction One of the great challenges for the near future is knowledge discovery in ever growing spatial sets [4]. Nevertheless, most work in the KDD community up to now has been almost exclusively focused on pattern discovery in relational and transaction databases. Only in recent times, data mining methods and techniques have been proposed for the extraction of implicit knowledge, spatial relations, or ....
Egenhofer, M.J., Glasgow, J., Gnther, O., Herring, J.R., Peuquet, D.J.: Progress in Computational Methods for Representing Geographic Concepts. Int. J. Geographical Information Science 13(8) (1999) 775-796.
....the process, new data are generated and stored in servers operated by data handlers. Note that transactions conducted among objects on the object bus are transparent to end users. Integrating geospatial data and functionality with mainstream business software is seen as a shift in the GIS industry [6]. Together with other business objects on the object bus, GIS objects provide not only data but also services in a distributed client server environment represented by the framework of our model. To design system architecture based on the abstract information model, we need to adopt industry ....
M. J. Egenhofer, J. Glascow, O. Gunther, J. R. Herring, and D. J. Peuquest. Progress in computational methods for representing geographical concepts. Int. J. Geographical Information Science. Vol. 13, No. 8, 775-796. 1999.
....which builds on the fouruniverses paradigm [24, 25] by adding new components and explaining some of the concepts from the point of view of the geographic world. The development of computational representations of the geographic world has been the subject of much study in the last decade [26]. In assembling our view of the world we build on previous explanations on how people see and mentally represent the world [24, 27 29] Each of the five levels in our abstraction model deals with conceptual characteristics of the geographic phenomena of the real world. The first two levels, the ....
M. Egenhofer, J. Glasgow, O. Gnther, J. Herring, and D. Peuquet, Progress in Computational Methods for Representing Geographical Concepts, International Journal of Geographical Information Science, vol. 13, pp. 775-796, 1999.
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