Dear all, some places are left for the next AniMove course at Smithsonian (SCBI, VA, USA).
if you want to know how to apply OpenSource software (R, QGIS, GRASS) for analysing animal distribution and movement in conjunction with remote sensing data submit your application now: http://animove.org/courses/2015-scbi/ regards, Martin On Wednesday, January 21, 2015 09:49:16 AM Martin Wegmann wrote: > Dear all, > > the AniMove course will take place this April at SCBI (US, VA) - this 2 > weeks science school covers animal movement analysis and remote sensing for > ecology and conservation. Practical examples using OpenSource software such > as R, QGIS and GRASS will cover different topics. > > date: April 13-24, 2015 > > Animal movement is critical for maintenance of ecosystem services and > biodiversity. The study of complex movement patterns and of the factors that > control such patterns is essential to inform conservation research and > environmental management. Technological advances have greatly increased our > ability to track, study, and manage animal movements. But analyzing and > contextualizing vast amounts of tracking data can present scientific, > computational, and technical challenges that require scientists and > practitioners to master new skills from a wide range of computational > disciplines. > > AniMove, a collective of international researchers with extensive experience > in these topics, teaches a two-week intensive training course for studying > animal movement. This two-week course focuses on interdisciplinary > approaches linking animal movement with environmental factors to address > challenging theoretical and applied questions in conservation biology. To > achieve this, participants will acquire significant skills in computational > ecology, modeling, remote sensing and Geographic Information Systems (GIS). > > more details at: http://animove.org/courses/2015-scbi/ -- Dr. Martin Wegmann CEOS Biodiversity http://www.remote-sensing-biodiversity.org/ceos German Aerospace Center (DLR) German Remote Sensing Data Center (DFD) -- Department of Remote Sensing Remote Sensing and Biodiversity Research University of Wuerzburg, Germany Phone: +49-(0)931-31-83446 http://www.remote-sensing-biodiversity.org http://www.twitter.com/rsbiodiv http://www.twitter.com/m_wegmann url: http://www.remote-sensing.uni-wuerzburg.de url: http://www.dlr.de/eoc url: http://www.global-change-ecology.org
