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Analysis and visualisation of movement: an interdisciplinary review
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 ava...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4395897/ https://www.ncbi.nlm.nih.gov/pubmed/25874114 http://dx.doi.org/10.1186/s40462-015-0032-y |
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author | Demšar, Urška Buchin, Kevin Cagnacci, Francesca Safi, Kamran Speckmann, Bettina Van de Weghe, Nico Weiskopf, Daniel Weibel, Robert |
author_facet | Demšar, Urška Buchin, Kevin Cagnacci, Francesca Safi, Kamran Speckmann, Bettina Van de Weghe, Nico Weiskopf, Daniel Weibel, Robert |
author_sort | Demšar, Urška |
collection | PubMed |
description | 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). 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. |
format | Online Article Text |
id | pubmed-4395897 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43958972015-04-14 Analysis and visualisation of movement: an interdisciplinary review Demšar, Urška Buchin, Kevin Cagnacci, Francesca Safi, Kamran Speckmann, Bettina Van de Weghe, Nico Weiskopf, Daniel Weibel, Robert Mov Ecol Review 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). 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. BioMed Central 2015-03-10 /pmc/articles/PMC4395897/ /pubmed/25874114 http://dx.doi.org/10.1186/s40462-015-0032-y Text en © Demšar et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Demšar, Urška Buchin, Kevin Cagnacci, Francesca Safi, Kamran Speckmann, Bettina Van de Weghe, Nico Weiskopf, Daniel Weibel, Robert Analysis and visualisation of movement: an interdisciplinary review |
title | Analysis and visualisation of movement: an interdisciplinary review |
title_full | Analysis and visualisation of movement: an interdisciplinary review |
title_fullStr | Analysis and visualisation of movement: an interdisciplinary review |
title_full_unstemmed | Analysis and visualisation of movement: an interdisciplinary review |
title_short | Analysis and visualisation of movement: an interdisciplinary review |
title_sort | analysis and visualisation of movement: an interdisciplinary review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4395897/ https://www.ncbi.nlm.nih.gov/pubmed/25874114 http://dx.doi.org/10.1186/s40462-015-0032-y |
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