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Integrating GIS, Circular Statistics and KDSD for Modelling Spatial Data: A Case Study

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Abstract:

This paper shows, with the help of a case study, that the integration of analytical capabilities of GIS, statistical analysis procedures and knowledge discovery in spatial databases (KDSD) techniques provide a suitable framework for mining information and modelling maps from cartography stored in a spatial information system and non-spatial data contained in a knowledge base. For it, a graphic model (map) of the cost in time for the displacement of a mobile will be generated, introducing a new method for determining anisotropic functions based on circular statistics.

Document Type: Regular Paper

DOI: http://dx.doi.org/10.1080/13615930220127260

Publication date: May 1, 2002

routledg/cgem/2002/00000006/00000001/art00001
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