- Plotting script to combine NSD, velocity, niche size and dissim in plots for every individual
- Need to come up with "final" and well-justified set of niche variables
- and be able to annotate with those vars...
*May require modes tojoin_annos.rscript
- and be able to annotate with those vars...
- Think about some sort of spatial size measure on same weekly time scales - do niche dynamics conform to spatial dynamics?
*Find a way to aggregate/summarize relationships across individuals so I can make inter-species comparisons - Put conda info in the README
- export relevant .yml files
- include instructions for creating conda env from yml
OLD TODO
- Finish annotate_tracks.r script *Confirm ability to pass variables from ctfs to annotator. *rstoat throwing error with particular products
- Next script is to feed annotated data into MVNH niche estimator
| Date | Activity |
|---|---|
| 2021-07-20 | Pilot WF completed up to annotator call |
| 2021-08-06 | Setting aside old wf dev b/c we have a fully-annotated crane dataset, proceeding with new wf building from that |
| 2021-08-16 | Crane workflow built through flexible joining of annotations and time-dynamic niche size estimation. |
| 2021-08-18 | Working scripts to produce NSD, velocity, ncihe size, niche dissim! |
| 2021-09/10-all | Missing logs |
| 2021-10-25 | Trying to incorporate niche mixtures into the workflow, started building a script to segment for all seasons from ctf |
| 2021-20-27 | Script that gets ind and season-specific mean and var from full data set - returns csv per sp |
- Cranes pre-anotated by STOAT team at Map of Life.
- Questions:
- What's the baseline for dissimilarity calculations?
- Common set of niche variables?
- For ind- season-specific mean and var script, note that A. paradesius apparently correctly returns df/cdv of nrow=0
OLD NOTES
- The anotator relies on breaking data up into chunks of 1000 - this could probably be parallelized easily for large datasets
- Consider writing a version of the annotate_tracks.r script for the HPC