the first outline of the content of the book  “Analysing and Mapping of Animal Movement in R” by Kamran Safi and Bart Kranstauber can be checked below. The book will provide theoretical background to animal movement analysis as well as practical hands-on exercises how to analyse the data using R.


  1. Introduction to R
  2.  Methods of data collection and implications for analysis
    1.  Tracking technologies
    2.  Movement in space
    3. Loading movement data
  3. Initial exploration of movement data
    1. mapping
    2. temporal organization of the trajectories
    3. spatial organization of the track
    4. unused locations
  4. Trajectory centered analysis
    1. within track analysis
    2. computer-intense models: simulating walks
    3. Auto-correlation structure of trajectories
    4. Segmentation of trajectories
    5. Track analysis
    6. Consensus paths
  5. Area centered analysis
    1. MCP, kernel, Brownian Bridges: From trajectories to utilization distributions
    2. methods of calculating UD overlap
    3. Statistical approaches in area based analysis
  6. Movement in context
    1. geoinformation (remote sensing, raster and vector data)
    2. contextual annotation of trajectories
    3. raster resolution and UD calculation
    4. compositional analysis
    5. species distribution models in movement analysis
    6. step selection functions
  7. Visualisation of animal movement
    1. general mapping of spatio-temporal data
    2. time-space cubes
    3. plotting of additional information
    4. animations
    5. web applications using shiny
    6. more advances options
  8. The future of animal movement analysis