UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Classification methods for spatial data representation

Osaragi, Toshihiro; (2002) Classification methods for spatial data representation. (CASA Working Papers 40). Centre for Advanced Spatial Analysis (UCL): London, UK. Green open access

[img]
Preview
PDF
Paper40.pdf

Download (765kB)

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: http://discovery.ucl.ac.uk/id/eprint/254
Downloads since deposit
949Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item