Osaragi, Toshihiro;
(2002)
Classification methods for spatial data representation.
(CASA Working Papers
40).
Centre for Advanced Spatial Analysis (UCL): London, UK.
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Abstract
It is necessary to classify numerical values of spatial data when representing them on a map and visually understanding it. In consequence, loss of information from original data is inevitable in the process of this classification. A gate loss of information might lead to a misunderstanding of the nature of original data. In this study, a classification method of spatial data is proposed, in which the loss of information is minimized. Comparing our method with other existing classification methods, some new findings are shown.
| Type: | Working / discussion paper |
|---|---|
| Title: | Classification methods for spatial data representation |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://www.casa.ucl.ac.uk/working_papers/paper40.p... |
| Language: | English |
| Keywords: | spatial data, visualization, classification, information loss, AIC (Akaike’s Information Criterion) |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis |
| URI: | https://discovery.ucl.ac.uk/id/eprint/254 |
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