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Map readers’ assessment of path elements and context to identify movement behaviour in visualisations


Lautenschütz, Anna-Katharina (2012). Map readers’ assessment of path elements and context to identify movement behaviour in visualisations. Cartographic Journal, 49(4):337-349.

Abstract

Understanding the complex nature of movement data and integrating it sufficiently into visual analytics tools is largely missing in GIScience. A user experiment assesses quantitatively and qualitatively which path elements contribute to map readers’ ability to identify a moving object and its behaviour in visual displays of movement. Context was added as a control variable by showing the movement path either on a homogenous background or embedded in a terrain map. The analysis shows that participants mainly used the character of the line and the shape of the represented behaviour to interpret the visualisation. Independently of context information, participants use the same path elements. With this approach, we hope to provide a first stepping-stone to identify the key elements that contribute to map readers’ ability to understand and analyse movement behaviour with visual analytics tools.

Abstract

Understanding the complex nature of movement data and integrating it sufficiently into visual analytics tools is largely missing in GIScience. A user experiment assesses quantitatively and qualitatively which path elements contribute to map readers’ ability to identify a moving object and its behaviour in visual displays of movement. Context was added as a control variable by showing the movement path either on a homogenous background or embedded in a terrain map. The analysis shows that participants mainly used the character of the line and the shape of the represented behaviour to interpret the visualisation. Independently of context information, participants use the same path elements. With this approach, we hope to provide a first stepping-stone to identify the key elements that contribute to map readers’ ability to understand and analyse movement behaviour with visual analytics tools.

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2 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2012
Deposited On:22 Mar 2013 09:19
Last Modified:05 Apr 2016 16:42
Publisher:Maney Publishing
ISSN:0008-7041
Publisher DOI:https://doi.org/10.1179/1743277412Y.0000000029

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