Analysis and visualization of animal movement

The interdisciplinary workshop ‘Analysis and Visualization of Moving Objects’ was held at the Lorentz Centre in Leiden, The Netherlands, from 27 June to 1 July 2011. It brought together international specialists from ecology, computer science and geographical information science actively involved in the exploration, visualization and analysis of moving objects, such as marine reptiles, mammals, birds, storms, ships, cars and pedestrians. The aim was to share expertise, methodologies, data and common questions between different fields, and to work towards making significant advances in movement research. A data challenge based on GPS tracking of lesser black-backed gulls (Larus fuscus) was used to stimulate initial discussions, cross-fertilization between research groups and to serve as an initial focus for activities during the workshop.

[1]  Jae-Gil Lee,et al.  MoveMine: mining moving object databases , 2010, SIGMOD Conference.

[2]  J. Fryxell,et al.  Are there general mechanisms of animal home range behaviour? A review and prospects for future research. , 2008, Ecology letters.

[3]  E. V. van Loon,et al.  Integrating Meteorology into Research on Migration , 2010, Integrative and comparative biology.

[4]  D. Biro,et al.  Group decisions and individual differences: route fidelity predicts flight leadership in homing pigeons (Columba livia) , 2010, Biology Letters.

[5]  Leonidas J. Guibas,et al.  The Earth Mover's Distance as a Metric for Image Retrieval , 2000, International Journal of Computer Vision.

[6]  Corey J A Bradshaw,et al.  Measurement error causes scale-dependent threshold erosion of biological signals in animal movement data. , 2007, Ecological applications : a publication of the Ecological Society of America.

[7]  Stephen Roberts,et al.  Pigeons combine compass and landmark guidance in familiar route navigation , 2007, Proceedings of the National Academy of Sciences.

[8]  K. M. Schaefer,et al.  Tracking apex marine predator movements in a dynamic ocean , 2011, Nature.

[9]  Elizabeth Pennisi,et al.  When to Go, Where to Stop , 2006, Science.

[10]  Stephen M. Krone,et al.  Analyzing animal movements using Brownian bridges. , 2007, Ecology.

[11]  Nicolas E. Humphries,et al.  Environmental context explains Lévy and Brownian movement patterns of marine predators , 2010, Nature.

[12]  Kenneth J. Lohmann,et al.  Animal behaviour: Geomagnetic map used in sea-turtle navigation , 2004, Nature.

[13]  Willem Bouten,et al.  Riding the tide: intriguing observations of gulls resting at sea during breeding , 2011 .

[14]  Kirsi Virrantaus,et al.  Space–time density of trajectories: exploring spatio-temporal patterns in movement data , 2010, Int. J. Geogr. Inf. Sci..

[15]  Maike Buchin,et al.  An algorithmic framework for segmenting trajectories based on spatio-temporal criteria , 2010, GIS '10.

[16]  S. Tilak,et al.  The Movebank data model for animal tracking , 2011, Environ. Model. Softw..

[17]  Melissa S. Bowlin,et al.  Integrating concepts and technologies to advance the study of bird migration , 2010 .

[18]  Christian Rutz,et al.  New frontiers in biologging science , 2009, Biology Letters.

[19]  Daniel A. Keim,et al.  Mastering the Information Age - Solving Problems with Visual Analytics , 2010 .

[20]  E. Revilla,et al.  A movement ecology paradigm for unifying organismal movement research , 2008, Proceedings of the National Academy of Sciences.

[21]  Jianhong Wu,et al.  Spatial dynamics of bar-headed geese migration in the context of H5N1 , 2010, Journal of the Royal Society Interface.

[22]  Ross Purves,et al.  How fast is a cow? Cross‐Scale Analysis of Movement Data , 2011, Trans. GIS.

[23]  Ran Nathan,et al.  An emerging movement ecology paradigm , 2008, Proceedings of the National Academy of Sciences.

[24]  Vincent Bretagnolle,et al.  Fishery Discards Impact on Seabird Movement Patterns at Regional Scales , 2010, Current Biology.