You are here: Wiki>AI_GEOSTATS Web>AI_GEOSTATSPapers>Papers20100623112646 (13 Aug 2010, TheresiaFreska)Edit Attach
Title: Density Data Generation for Spatial Data Mining Applications

Date: 23 August 2000

Authors: Andy Turner

Link: http://www.geocomputation.org/2000/GC017/Gc017.htm

Abstract:

This paper describes a way to produce a particular type of density information from spatial data for spatial analysis applications or spatial data mining. The specification of an abstraction resolution for a chosen spatial framework is all that is required to produce this density information. This detailed spatial framework used for the production of the density information should also be that used for the subsequent spatial analysis. What is good about this way of producing density information is that once a spatial framework for the spatial analysis has been detailed, no further subjective bias is imposed on the resulting density information (even from NODATA space). In other words, the spatial bias is implicit to the shapes of the frame used to tessellate data space. The focus here is the production of density information for two-dimensional square grids or rasters containing NODATA space that are commonly use in geocomputation.

Reference: Proceedings of the Fifth International Conference on GeoComputation, University of Greenwich's School of Earth and Environmental Sciences, Kent, UK, 23 - 25 August 2000. Papers published on CD-ROM. Produced by: R.J.Abrahart and B.H.Carlisle. Publisher: "GeoComputation CD-ROM". ISBN 0-9533477-2-9
Topic revision: r3 - 13 Aug 2010, TheresiaFreska
Legal Notice | Privacy Statement


This site is powered by FoswikiCopyright © by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding Wiki? Send feedback