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Visual assessment of spatial data interpolation

Citation

Englke, U and Susanto, F and de Souza Junior, P and Marendy, P, Visual assessment of spatial data interpolation, Big Data Visual Analytics, BDVA 2015, 22-25 September 2015, Hobart, Tasmania ISBN 978-146737343-2 (2015) [Non Refereed Conference Paper]


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DOI: doi:10.1109/BDVA.2015.7314305

Abstract

Spatial data is typically inferred between reference points using interpolation techniques and communicated to end users through visualisation. It is not well understood yet how different interpolation techniques perform visually and what visualisation attributes impact on the visual communication of spatial maps. In this paper, we present a study to address these issues. We performed a dedicated experiment in which observers judged visual similarity between interpolated maps and reference maps. We could clearly identify the superior interpolation techniques amongst a set of techniques under consideration. We further found a significant effect for the colour map used for visualisation. No interaction, however, was found between the colour maps and specific interpolation technique comparisons. Response times were recorded as a proxy for judging difficulty and were found to be significantly larger for comparisons amongst the best and worst interpolation techniques.

Item Details

Item Type:Non Refereed Conference Paper
Keywords:colour maps, psychophysical experiment, response times, spatial data interpolation
Research Division:Information and Computing Sciences
Research Group:Information Systems
Research Field:Information Systems not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Information Processing Services (incl. Data Entry and Capture)
Author:de Souza Junior, P (Professor Paulo de Souza Junior)
ID Code:117995
Year Published:2015
Deposited By:Information and Communication Technology
Deposited On:2017-06-30
Last Modified:2017-06-30
Downloads:0

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