Successful AniMove at BIK-F finished

Two intense weeks of AniMove at BIK-F in Frankfurt successfully finished. The highly motivated and skilled attendees from various countries and studying movement patterns of various animals learned a wide range of animal movement analytics as well as spatial data handling and remote sensing. All approaches were explained in detail and all following analysis were done using actual data in an open source environment (R). We are very thankful to Thomas Müller and Chloe Bracis who organised the AniMove this time and we are looking forward to an exiting 2017 with one or more AniMoves! More details about upcoming AniMoves and respective application dates will be posted on our webpage soon. Moreover, we will also update our image galleries for the two AniMoves in 2017 over the christmas break. We hope all attendees apply the learned techniques successfully in their ongoing research and do not hesitate to ask about approaches or problems, especially with R code on your listserv: https://mailman.uni-konstanz.de/mailman/listinfo/animove

AniMove 2017 at BIK-F started

 

The AniMove at BIK-F in Frankfurt started successfully and will cover a variety of animal movement analysis approaches as well as remote sensing and GIS tasks in the next two weeks.  We are very much looking forward to an exciting time and highly interested and motivated to work on animal tracking data, learn the statistical approaches and combining it with environmental data derived through remote sensing. All tasks will be achieved using Open Source software such as R and QGIS. All attendees will be exposed to lots of R coding in this science school. Evening talks are organized as well and introduce general advances within the AniMove topics.animove_2017_bik-f_frankfurt_2animove_2017_bik-f_frankfurt_1

new publication on interdisciplinary training of remote sensing and movement

Some colleagues also partly related to the ongoing AniMove activities published a great article on “Bridging disciplines with training in remote sensing for animal movement: an attendee perspective”. From the abstract: Remote sensing and animal movement datasets are increasingly used to answer key questions in ecology and conservation. Collecting and accessing this data is becoming ever cheaper and easier, but limited analytical expertise limits its wider use. Working at the interface between these two disciplines is challenging as there are no standard techniques for handling the complex spatial data, so specific and in-depth training is required. Higher education programs rarely cover remote sensing for animal movement, so external courses play a major role in training newcomers and creating a more unified global community. We conducted an online survey to investigate the views of previous attendees of four training courses that involve remote sensing and animal location data. These courses provided subject-specific knowledge, practical and coding skills, networking, collaboration opportunities, insightful discussions and transferable research skills. Our survey highlighted the importance of real-world examples, practical sessions, time for participants to work with their own data, preparatory material and open source software. Despite the value of interdisciplinary training in remote sensing and animal movement, it reaches few ecology and conservation practitioners outside of academia. We advocate more funding for underrepresented participants to attend existing course and the development of new courses.

Clark, B. L., Bevanda, M., Aspillaga, E. and Jørgensen, N. H. (2016), Bridging disciplines with training in remote sensing for animal movement: an attendee perspective. Remote Sens Ecol Conserv. doi:10.1002/rse2.22

new book on animal movement

a new interesting book related to AniMove topics just got published by Arild Gautestad.

from the webpage: How to make sense of animal movement and population dynamics, which typically is influenced by effects of spatial memory and multi-scaled space use? Whether you are studying GPS relocations or estimating population abundance, a realistic model depends on realistic assumptions. In this book you are introduced to a biophysical perspective on animal space use. The presentations include more than 100 illustrations, some basic concepts of statistical mechanics and a range of thought-provoking ideas. Step-by-step the book leads you towards a broadened theoretical toolbox for ecological inference. More details here: http://animalspaceuse.net

R package RStoolbox available on cran

RStoolbox_RemoteSensing_Ecology_Benjamin_LeutnerWe are happy to announce the initial release of our *RStoolbox* package. The package has been developed by Benjamin Leutner and will be used extensively in our upcoming book “Remote Sensing and GIS for Ecologists – Using Open Source software“.
RStoolbox provides various tools for remote sensing data analysis and is now available from CRAN:

https://cran.r-project.org/web/packages/RStoolbox

and more details at:

http://bleutner.github.io/RStoolbox/rstbx-docu


The main focus of RStoolbox is to provide a set of high-level remote sensing tools for various classification tasks. This includes unsupervised and supervised classification with different classifiers, fractional cover analysis and a spectral angle mapper. Furthermore, several spectral transformations like vegetation indices, principal component analysis or tasseled cap transformation are available as well.

Besides that, we provide a set of data import and pre-processing functions. These include reading and tidying Landsat meta-data, importing ENVI spectral libraries, histogram matching, automatic image co-registration, topographic illumination correction and so on.

Last but not least, RStoolbox ships with two functions dedicated to plotting remote sensing data (*raster* objects) with *ggplot2* including RGB color compositing with various contrast stretching options.

RStoolbox is built on top of the *raster* package. To improve performance some functions use embedded C++ code via the *Rcpp* package.
Moreover, most functions have built-in support for parallel processing, which is activated by running raster::beginCluster() beforehand.

 

RStoolbox is hosted at www.github.com/bleutner/RStoolbox

For a more details, including executed examples, please see

http://bleutner.github.io/RStoolbox/rstbx-docu

 

We sincerely hope that this package may be helpful for some people and are looking forward to any feedback, suggestions and bug reports.

AniMove workshop topics

Some of the speakers and workshops facilitators during the AniMove workshop will be:

  • Martin Wikelski
  • Ian Couzin
  • Justin Calabrese
  • Chris Fleming
  • Peter Leimgruber
  • Björn Reineking
  • Nathalie Pettorelli
  • Kamran Safi
  • Bart Kranstauber
  • Andy Lyons
  • Martin Wegmann
  • and others

the topics cover a wide range of new developments in movement ecology – conceptual as well as technical hands-on workshops are organized.