This repository holds the R code and sample data from my workshop on analyzing tracking data in R. Links go to tutorial posts on my blog.
Description of contents:
tracking_sample.csv contains simulated tracking data for five turtles. This is the data used in all code examples in this repository.
boundaryfolder contains the shapefiles for creating a kernel home range limited by a line.
01_formattingandmapping.R Formatting data & basic mapping (https://jamesepaterson.github.io/jamespatersonblog/01_trackingworkshop_formatting)
02_trajectories.R Creating trajectories (https://jamesepaterson.github.io/jamespatersonblog/02_trackingworkshop_trajectories)
03_homerangesMCP.R Home ranges with minimum convex polygons (https://jamesepaterson.github.io/jamespatersonblog/03_trackingworkshop_homeranges)
04_homerangeskernels.R Home ranges with kernel density estimators (https://jamesepaterson.github.io/jamespatersonblog/04_trackingworkshop_kernels)
05_reptilehomerangefunctions.R Functions to make 95% kernel contour area equal to the 100% minimum convex polygon area
06_makingkernelsequalmcparea.R Applying the functions to make 95% kernel contour area equal to the 100% minimum convex polygon area (https://jamesepaterson.github.io/jamespatersonblog/06_trackingworkshop_reptilekernels)
07_animatingtrackingdata.R Animating telemetry data using gganimate (https://jamesepaterson.github.io/jamespatersonblog/2020-01-02_animatingtrackingdata.html)
08_homerangeskernels_boundary.R Home ranges with kernel density estimators with boundaries (https://jamesepaterson.github.io/jamespatersonblog/2020-03-14_kernel_boundary.html)
09_homerangeoverlap.R Measuring home range overlap using the amt package (https://jamesepaterson.github.io/jamespatersonblog/2023-09-24_homerangeoverlap.html)
The code and data for this workshop is archived on Zenodo and has a DOI you can cite: DOI: 10.5281/zenodo.3557727