Hello,

I am currently trying to determine which interpolation method would best fit my GPS tracks. My "model" track has a 100 high quality consecutive locations with no gap and I excluded first random unique locations and then a number of consecutive points starting at a random position, to assess how accurate the different methods are.

I have tested linear interpolation (from move package) and correlated random walk using the method described in Technitis et al. 2015 (spacetime package).

I would like now to test a few curvilinear methods (e.g. exact cubic, natural splines, bezier...), but I can't find a spline or Bezier function that simply fills the gaps in my GPS tracks based on the missing timestamps. The spline function from base R collapses the results to a unique x value, which is not what I want obviously. Dr. Jed Long's package interpolatepathR would have been ideal if I only had a few unique fixes to interpolate, but I have far too many, and the package doesn't seem to handle long tracks (like my model track or longer).

So, does anyone knows of a package in R (I do not have access to Matlab) that handles spline and other curvilinear interpolation for (animal) paths, filling gaps (missing timestamps) from imperfect GPS data?

Thank you for your time,

Chloé