ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 249-255, 2015
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W5/249/2015/
doi:10.5194/isprsannals-II-3-W5-249-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
19 Aug 2015
MODELLING THE CONSTRAINTS OF SPATIAL ENVIRONMENT IN FAUNA MOVEMENT SIMULATIONS: COMPARISON OF A BOUNDARIES ACCURATE FUNCTION AND A COST FUNCTION
L. Jolivet1, M. Cohen2, and A. Ruas3 1COGIT, Institut National de l’Information Géographique et Forestière, 94160 St-Mandé, France
2Université Paris Sorbonne, UMR ENeC, 75000 Paris, France
3Laboratoire COSYS-LISIS, IFSTTAR, F-77447 Marne-la-Vallée, France
Keywords: Modelling, Simulation, Geographical databases, Landscape, Fauna, Movement, Experimentation, Indexes Abstract. Landscape influences fauna movement at different levels, from habitat selection to choices of movements’ direction. Our goal is to provide a development frame in order to test simulation functions for animal’s movement. We describe our approach for such simulations and we compare two types of functions to calculate trajectories. To do so, we first modelled the role of landscape elements to differentiate between elements that facilitate movements and the ones being hindrances. Different influences are identified depending on landscape elements and on animal species. Knowledge were gathered from ecologists, literature and observation datasets. Second, we analysed the description of animal movement recorded with GPS at fine scale, corresponding to high temporal frequency and good location accuracy. Analysing this type of data provides information on the relation between landscape features and movements. We implemented an agent-based simulation approach to calculate potential trajectories constrained by the spatial environment and individual’s behaviour. We tested two functions that consider space differently: one function takes into account the geometry and the types of landscape elements and one cost function sums up the spatial surroundings of an individual. Results highlight the fact that the cost function exaggerates the distances travelled by an individual and simplifies movement patterns. The geometry accurate function represents a good bottom-up approach for discovering interesting areas or obstacles for movements.
Conference paper (PDF, 1098 KB)


Citation: Jolivet, L., Cohen, M., and Ruas, A.: MODELLING THE CONSTRAINTS OF SPATIAL ENVIRONMENT IN FAUNA MOVEMENT SIMULATIONS: COMPARISON OF A BOUNDARIES ACCURATE FUNCTION AND A COST FUNCTION, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 249-255, doi:10.5194/isprsannals-II-3-W5-249-2015, 2015.

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