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Analysing grey seal movement tracks in the North Sea (2008)

This is a repo for using MovingPandas to analyse the movement of a seal and make a map for the #30DayMapChallenge "Movement" theme!

seal gif

Libraries

MovingPandas was the primary library used for data analysis alongside Imageio and OpenCV for gif/video creation. All libraries used are listed below:

  • MovingPandas
  • GeoPandas
  • Pandas
  • Datetime
  • Holoviews
  • Imageio
  • OpenCV

Notebooks

  • The data_exploration.ipynb notebook is what I used to experiment with MovingPandas.
  • The gif_ims.ipynb is for plotting and saving out imagery to make into gifs/videos (if_gif_ims_interrupted.ipynb was a quick fix for if gif_ims stopped running unexpectedly).
  • The animation_creator.ipynb notebook is to make gifs or videos from a folder of images (i.e. what was created with gif_ims.ipynb)

The data used here is from Movebank:

Data package citation: McConnell BJ (2019) Data from: State-switching continuous-time correlated random walks. Movebank Data Repository. https://doi.org/10.5441/001/1.m7j2263r

These data are described in the following written publications: Michelot T, Blackwell PG (2019) State-switching continuous-time correlated random walks. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210X.13154

Relevant data info from Michelot T, Blackwell PG (2019):

  • "Trajectory of 2,535 observations, collected in the North Sea between April and December 2008".
  • "The base sampling frequency was of one location every 30 min, but many fixes were missed, and the resulting time grid was highly irregular...".

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