We received again many very good applications for AniMove 2017 at MPI but unfortunately we can only host 20 participants. The AniMove core team worked through all applications and selected the top 20 applicants. All applicants are informed about the outcome. We are looking forward to our next AniMove and will decide during the next AniMove if and when we will have the next one. Due to the fact that AniMove is a non for profit initiative and all lecturer are not paid for AniMove teaching, we have to find a good balance of AniMove activities and the normal work of our lecturer – hence we decided to organize it just once a year. If you have not received an acceptance letter this time, we encourage you to apply again next time.
If you are interested to learn how to analyze animal movement patterns, combine it with remote sensing data and apply it within ecology and conservation, please apply at the latest on Friday for our AniMove summerschool in August/September 2017. Please see here for more details: AniMove 2017 and for the application link
The continuous-time movement modeling (ctmm) R package (https://cran.r-project.org/web/packages/ctmm/index.html) now has a dedicated Google groups user site, which can be found here: https://groups.google.com/forum/#!forum/ctmm-user
We encourage ctmm users to post their questions, suggestions, bug reports, and tips there so they can benefit the entire user community. We will also regularly post news on new versions of ctmm, new features, and the upcoming Shiny GUI for ctmm.
The bio-logging symposium will take place this September in Konstanz, Germany. The symposium from 25th to 29th of September is organized by the MPI of Ornithology, where we also have our AniMove courses.
see more details about the bio-logging symposium here: https://www.bio-logging.net/Symposium
you might also want to combine it with the AniMove science school a few weeks earlier – apply before March 31st here: AniMove 2017 at MPI
the AniMove newsletter covering past and future activities has been published. More details will be posted on our blog.
After quite some years of AniMove courses and realizing that this idea of one (1) AniMove developed into a series of AniMove science schools, we decided back in summer 2016 during our AniMove at MPI that a logo for AniMove would be great. 6 months later and going through many discussions in 2016 and 2017 we finally have a logo that nicely reflects AniMove topics. We would have loved to have a track, DBB, a satellite, remote sensing or some code in it, but quickly realized that we cannot have a logo which includes all of our topics covered during the 2 intense AniMove weeks. Now we can use it for our upcoming AniMove in August/September at MPI, close to Lake Konstanz, Germany.
our next AniMove summerschool on learning how to analyze animal movement data and environmental remote sensing data for ecological applications is set. It will be from August 27th to September 9th 2017. More details can be found on the course page: 2017 AniMove at MPI
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
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.
The Global Urban Footprint by DLR (Thomas Esch) has been released and provides a global coverage of urbanized areas. It might be for some species a very important environmental parameter to explain presence or certain movement patterns. From the DLR website: Currently, more than half of the world’s population are urban dwellers and this number is still rapidly increasing. Since settlements – and urban areas in particular – represent the centers of human activity, the environmental, economic, political, societal and cultural impacts of urbanization are far-reaching. They include negative aspects like the loss of natural habitats, biodiversity and fertile soils, climate impacts, waste, pollution, crime, social conflicts or transportation and traffic problems, making urbanization to one of the most pressing global challenges. Accordingly, a profound understanding of the global spatial distribution and evolution of human settlements constitutes a key element in envisaging strategies to assure sustainable development of urban and rural settlements.
In this framework, the objective of the “Global Urban Footprint” (GUF) project is the worldwide mapping of settlements with unprecedented spatial resolution of 0.4 arcsec (~12 m). A total of 180 000 TerraSAR-X and TanDEM-X scenes have been processed to create the GUF. The resulting map shows the Earth in three colors only: black for “urban areas”, white for “land surface” and grey for “water”. This reduction emphasizes the settlement patterns and allows for the analysis of urban structures, and hence the proportion of settled areas, the regional population distribution and the arrangement of rural and urban areas. More details at: www.dlr.de/guf