get.TL: Construct a transition list from a raster or raster stack
In rwc: Random Walk Covariance Models
get.TL R Documentation
Construct a transition list from a raster or raster stack
Description
This computes a list of log-transition matrices as a
preliminary step to creating a precision matrix from covariate rasters.
Usage
get.TL(rast.stack)
Arguments
rast.stack
A raster layer or raster stack object.
Value
A list of length equal to the number of raster
layers in rast.stack. Each element in the list is a sparse Matrix of
class 'dgCMatrix'.
Author(s)
Ephraim M. Hanks
References
Hanks and Hooten 2013. Circuit theory and model-based inference for
landscape connectivity. Journal of the American Statistical
Association. 108(501), 22-33.
Examples
int=raster(nrow=30,ncol=30)
values(int)=1
TL.int=get.TL(int)
Q.int=get.Q(TL.int,1)
image(Q.int)
rwc documentation built on April 4, 2025, 4:40 a.m.
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| get.TL | R Documentation |
Construct a transition list from a raster or raster stack
Description
This computes a list of log-transition matrices as a preliminary step to creating a precision matrix from covariate rasters.
Usage
get.TL(rast.stack)
Arguments
rast.stack |
A raster layer or raster stack object. |
Value
A list of length equal to the number of raster layers in rast.stack. Each element in the list is a sparse Matrix of class 'dgCMatrix'.
Author(s)
Ephraim M. Hanks
References
Hanks and Hooten 2013. Circuit theory and model-based inference for landscape connectivity. Journal of the American Statistical Association. 108(501), 22-33.
Examples
int=raster(nrow=30,ncol=30)
values(int)=1
TL.int=get.TL(int)
Q.int=get.Q(TL.int,1)
image(Q.int)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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