Annotating Animal Movement Data

If you have animal movement data and want to free your inner coder, check out our latest paper in Remote Sensing entitled “Enhancing Animal Movement Analyses: Spatiotemporal Matching of Animal Positions with Remotely Sensed Data Using Google Earth Engine and R” to dynamically extract a suite of remote sensing datasets at individual GPS point observations. Importantly, the code shows you how to match the spatio-temporal dynamics of your datasets. The manuscript is open access, with detailed code on how to conduct the analysis on your own. Congratulations to SCBI post-doctoral researcher Ramiro Crego, University of Glasgow graduate student Majaliwa Masolele, and SCBI ecologist Grant Connette for this great contribution.

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