Hi Everyone,
I am attempting to analyze multiple black vulture’s home ranges collected from transmitters over a 12 month period. Many of my birds variograms do not reach an asymptote with the standard variogram function of the entire dataset, thus I am looking to segment the data. Looking at their movements plotted, it seems clear there are home ranges being formed for periods of time 3-4 months, with a long dispersal movement happening in between. The overall goal is to segment the data to periods when a home range is established, and to use mean() to combine these into one larger range for the whole year.
I was wondering if anyone would be able to provide help or advice with using the segclust2d package that has been mentioned previously in the group? I’ve been playing around with this, and have yet to find results I felt confident in. Namely I have been trying to use the segmentation() function to segment the data automatically into areas where a home range may have been established. Although when I do this, it feels as if it’s just segmenting as much as possible and leaving segments that span large amounts of space, instead of segmenting the dispersal movement into it’s own segment phase. If anyone has example code or data they’d be able to share that would be great. Also, just any general advice or directions of where to look would be appreciated as well.
Thank you!
-Noah
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