Software to facilitates taking movement data in xyt format and pairing it with raster covariates within a continuous time Markov chain (CTMC) framework. As described in Hanks et al. (2015) <DOI:10.1214/14-AOAS803> , this allows flexible modeling of movement in response to covariates (or covariate gradients) with model fitting possible within a Poisson GLM framework.
|Date of publication||2016-11-21 21:22:41|
|Maintainer||Ephraim Hanks <firstname.lastname@example.org>|
ctmc2glm: Convert a "ctmc" object into Poisson glm format.
ctmc.sim: Code to simulate a continuous-time Markov chain.
get.rate.matrix: Create a CTMC rate matrix from rasters and parameter...
get.UD: Find the stationary distribution of the CTMC.
mcmc.fmove: Fit continuous-time functional movement model to telemetry...
path2ctmc: Function to turn a discrete-time continuous-space path into a...
Pctmc: Transition Matrix of a CTMC.
rast.grad: Creates gradient rasters from a raster object.
seal: Data for one foraging trip by a male northern fur seal (NFS).