Analysis and visualisation of movement: an interdisciplinary review

Movement Ecology

Robert Weibel³  Daniel Weiskopf²  Nico Van de Weghe⁷  Bettina Speckmann⁵  Kamran Safi⁴  Francesca Cagnacci¹  Kevin Buchin⁵  Urška Demšar⁶ 

[1] Biodiversity and Molecular Ecology Department, IASMA Research and Innovation Centre, Fondazione Edmund Mach, Trento, Italy;Visualization Research Center, University of Stuttgart, Stuttgart, Germany;Department of Geography, University of Zurich, Zurich, Switzerland;Department of Biology, University of Konstanz, Konstanz, Germany;Department of Mathematics and Computer Science, Technical University Eindhoven, Eindhoven, The Netherlands;School of Geography & Geosciences, University of St Andrews, Irvine Building, North Street, St Andrews, Fife KY16 9AL, Scotland, UK;Department of Geography, Ghent University, Ghent, Belgium

关键词: Interdisciplinary developments;    Visual analytics;    Visualisation;    Computational geometry;    Geographic information science;    Spatio-temporal visualisation;    Spatio-temporal analysis;    Trajectories;    Animal movement;    Movement ecology;   

Others  :  1171076
DOI  :  10.1186/s40462-015-0032-y

 received in 2014-11-17, accepted in 2015-02-02,  发布年份 2015

【 摘 要 】

The processes that cause and influence movement are one of the main points of enquiry in movement ecology. However, ecology is not the only discipline interested in movement: a number of information sciences are specialising in analysis and visualisation of movement data. The recent explosion in availability and complexity of movement data has resulted in a call in ecology for new appropriate methods that would be able to take full advantage of the increasingly complex and growing data volume. One way in which this could be done is to form interdisciplinary collaborations between ecologists and experts from information sciences that analyse movement. In this paper we present an overview of new movement analysis and visualisation methodologies resulting from such an interdisciplinary research network: the European COST Action “MOVE - Knowledge Discovery from Moving Objects” (http://www.move-cost.info webcite). This international network evolved over four years and brought together some 140 researchers from different disciplines: those that collect movement data (out of which the movement ecology was the largest represented group) and those that specialise in developing methods for analysis and visualisation of such data (represented in MOVE by computational geometry, geographic information science, visualisation and visual analytics). We present MOVE achievements and at the same time put them in ecological context by exploring relevant ecological themes to which MOVE studies do or potentially could contribute.

【 授权许可】

   
2015 Demšar et al.; licensee BioMed Central.

【 图 表 】

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