In all AniMove activities Open Access and Open Source is targeted. We only use OpenSource software and develop our own.
R Packages developed and contributed to by AniMove members or within the AniMove network
- move: Analyzing animal movement data in R
- moveVis: Movement visualization in R
- ctmm: Continuous-Time Movement Modeling in R
- recurse: Revisitation metrics for trajectory data in R
- amt (step selection): Complex animal movement data analyses in R
- rsMove: animal movement and remote sensing interaction
- RStoolbox: remote sensing data analysis
- getSpatialData: retrieve various spatial data sets in R
- the R programming language is a very powerful for statistics and modelling, as well as analysing environment data
- please also see the R cheat sheets: general AniMove R reference card and spatial AniMove R reference card with common R commands for animal movement and spatial data analysis in R
AniMove R reference cards
a by far not extensive list of relevant R packages are:
install a variety of relevant packages for AniMove through the AniMove R package:
https://github.com/AniMoveCourse/animove
other software
other software packages might be used as well, such as QGIS an intuitive GIS software with an increasing amount of functionality or other like GRASS which is one of the largest OpenSource GIS and Remote Sensing analysis packages. Other software packages might be used in case it suits the aim of the course (e.g. MRT)
We try to use as much Open Access data as possible for the environmental information as well as the species information. However some restrictions do exist especially with the animal tracking data. More details on general data access and platforms are listed here:
Species data
Various data bases for species data (presence/absence and movement) do exist:
- movebank.org provides a large list of animal tracking data. Data can be uploaded by anybody and access levels assigned individually (full sharing to no sharing at all or just for selected other users). Moreover preliminary data pre-processing and annotation with environmental data can be achieved. Can be accessed through R via the move package
- TOPP.org offers maps and information on tagged pacific predators
- gbif.org offers access to occurrence data (also via gbif() or rgbif() commands in R)
Various data portals for environmental data do exist (remote sensing and GIS based data sets):
- www.remote-sensing-biodiversity.org/resources offers a continously updated list of different data platforms ranging from remote sensing data portals to spatial model data sets or GIS layers.