Scatterplots and scenes: visualisation techniques for exploratory spatial analysis

Show simple item record Gahegan, Mark en 2011-08-10T05:09:06Z en 1998 en
dc.identifier.citation Computers, Environment and Urban Systems 22(1):43-56 1998 en
dc.identifier.issn 0198-9715 en
dc.identifier.uri en
dc.description.abstract A collection of geographic data from a particular region contains many explicit and implicit relationships which are difficult to display and communicate without resorting to statistical summarisation or fragmentation into themes. This paper addresses the problems of exploring interconnections between layers of data using state-of-the-art visualisation techniques and is based on the premise that visual exploratory data analysis is a useful tool for providing insight into the complex and subtle relationships that occur in geography. The tools and techniques described extend beyond the current capacity of commercial geographic information systems in terms of (a) the flexibility of the scene description, (b) the volume of data (particularly the number of distinct layers or themes that are viewable concurrently) and (c) the facilities by which the user may study relationships. The techniques proposed are justified from a psychometric standpoint and some important limitations with their use are described. As well as the pictures shown in the paper, further results are given in the form of high resolution colour images, VRML scenes and video clips which may be downloaded from an accompanying Web site. en
dc.relation.ispartofseries Computers, Environment and Urban Systems en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from en
dc.rights.uri en
dc.title Scatterplots and scenes: visualisation techniques for exploratory spatial analysis en
dc.type Journal Article en
dc.identifier.doi 10.1016/S0198-9715(98)00018-0 en
pubs.issue 1 en
pubs.begin-page 43 en
pubs.volume 22 en
dc.rights.holder Copyright: 1998 Elsevier Science Ltd. en
pubs.end-page 56 en
dc.rights.accessrights en
pubs.subtype Article en
pubs.elements-id 194904 en Science en School of Computer Science en
pubs.record-created-at-source-date 2011-08-10 en

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