ctmcmove: Modeling Animal Movement with Continuous-Time Discrete-Space Markov Chains

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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), this allows flexible modeling of movement in response to covariates (or covariate gradients) with model fitting possible within a Poisson GLM framework.

Author
Ephraim Hanks
Date of publication
2015-10-14 18:25:53
Maintainer
Ephraim Hanks <hanks@psu.edu>
License
GPL-2
Version
1.0

View on R-Forge

Man pages

ctmc2glm
Convert a "ctmc" object into Poisson glm format.
ctmcmove-package
\Sexpr[results=rd,stage=build]{tools:::Rd_package_title("ctmcmove")}
get.crawl.path
Simulate a CRAWL path within a raster object.
path2ctmc
Function to turn a discrete-time continuous-space path into a...
rast.grad
Creates gradient rasters from a raster object.
seal
Data for one foraging trip by a male northern fur seal (NFS).

Files in this package

ctmcmove/DESCRIPTION
ctmcmove/NAMESPACE
ctmcmove/R
ctmcmove/R/ctmc2glm.R
ctmcmove/R/get.crawl.path.R
ctmcmove/R/path2ctmc.R
ctmcmove/R/rast.grad.R
ctmcmove/build
ctmcmove/build/partial.rdb
ctmcmove/data
ctmcmove/data/seal.rda
ctmcmove/man
ctmcmove/man/ctmc2glm.Rd
ctmcmove/man/ctmcmove-package.Rd
ctmcmove/man/get.crawl.path.Rd
ctmcmove/man/path2ctmc.Rd
ctmcmove/man/rast.grad.Rd
ctmcmove/man/seal.Rd