The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 397–402, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-397-2018
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 397–402, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-397-2018

  19 Sep 2018

19 Sep 2018

MODELLING OF COLLECTIVE MOVEMENT IN IMMERSIVE ENVIRONMENTS

G. Magallanes Guijón1,2, F. Hruby1,3, R. Ressl1, V. Aguilar Sierra1, G. de la Borbolla del Valle1, and O. Rodríguez Paz1 G. Magallanes Guijón et al.
  • 1National Commission for Knowledge and Use of Biodiversity (CONABIO), Mexico City, Mexico
  • 2School of Sciences, National Autonomous University of Mexico, Complexity Sciences Center, Mexico
  • 3Department of Geography and Regional Research, University of Vienna, Vienna, Austria

Keywords: Collective Movement, Swarming, Immersion, Virtual Reality, Geovisualization

Abstract. Immersive technologies allow us to map physical reality by means of 4D virtual systems in ever higher spatial and temporal detail, up to a scale level of 1 : 1. This level of detail enables the representation of phenomena that have been widely ignored by the geovisualization research agenda as yet. An example for such a large scale phenomenon is the collective movement of animals, which can be modelled and visualized only at a fine grained spatio-temporal resolution. This paper focuses on how collective movement can be modelled in an immersive virtual reality (VR) geovisualization. In a brief introduction on immersion and spatial presence we will argue, that high fidelity and realistic VR can strengthen the users’ involvement with the issues visualized. We will then discuss basic characteristics of swarming in nature and review the principal models that have been presented to formalize this collective behavior. Based on the rules of (1) collision avoidance, (2) polarization, (3) aggregation and (4) self-organized criticality we will formulate a viable solution of modelling collective movement within a geovisualization immersive virtual environment. An example of use and results will be presented.