Literature DB >> 24051783

Space transformation for understanding group movement.

Natalia Andrienko1, Gennady Andrienko, Louise Barrett, Marcus Dostie, Peter Henzi.   

Abstract

We suggest a methodology for analyzing movement behaviors of individuals moving in a group. Group movement is analyzed at two levels of granularity: the group as a whole and the individuals it comprises. For analyzing the relative positions and movements of the individuals with respect to the rest of the group, we apply space transformation, in which the trajectories of the individuals are converted from geographical space to an abstract 'group space'. The group space reference system is defined by both the position of the group center, which is taken as the coordinate origin, and the direction of the group's movement. Based on the individuals' positions mapped onto the group space, we can compare the behaviors of different individuals, determine their roles and/or ranks within the groups, and, possibly, understand how group movement is organized. The utility of the methodology has been evaluated by applying it to a set of real data concerning movements of wild social animals and discussing the results with experts in animal ethology.

Mesh:

Year:  2013        PMID: 24051783     DOI: 10.1109/TVCG.2013.193

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  4 in total

Review 1.  Analysis and visualisation of movement: an interdisciplinary review.

Authors:  Urška Demšar; Kevin Buchin; Francesca Cagnacci; Kamran Safi; Bettina Speckmann; Nico Van de Weghe; Daniel Weiskopf; Robert Weibel
Journal:  Mov Ecol       Date:  2015-03-10       Impact factor: 3.600

2.  How to compare movement? A review of physical movement similarity measures in geographic information science and beyond.

Authors:  Peter Ranacher; Katerina Tzavella
Journal:  Cartogr Geogr Inf Sci       Date:  2014-03-07

3.  Sci-Fin: Visual Mining Spatial and Temporal Behavior Features from Social Media.

Authors:  Jiansu Pu; Zhiyao Teng; Rui Gong; Changjiang Wen; Yang Xu
Journal:  Sensors (Basel)       Date:  2016-12-20       Impact factor: 3.576

4.  Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations.

Authors:  Jason Dykes; Alfie Abdul-Rahman; Daniel Archambault; Benjamin Bach; Rita Borgo; Min Chen; Jessica Enright; Hui Fang; Elif E Firat; Euan Freeman; Tuna Gönen; Claire Harris; Radu Jianu; Nigel W John; Saiful Khan; Andrew Lahiff; Robert S Laramee; Louise Matthews; Sibylle Mohr; Phong H Nguyen; Alma A M Rahat; Richard Reeve; Panagiotis D Ritsos; Jonathan C Roberts; Aidan Slingsby; Ben Swallow; Thomas Torsney-Weir; Cagatay Turkay; Robert Turner; Franck P Vidal; Qiru Wang; Jo Wood; Kai Xu
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2022-08-15       Impact factor: 4.019

  4 in total

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