Description Usage Arguments Details Value
Create a movement kernel matrix based on a mixed von Mises distribution for direction and a Weibull distribution for distance.
1 2 | CreateMoveKernelWeibullVonMises(max_r, cellsize, mu1, mu2, kappa1,
kappa2, mix, rho, shape, scale, ignore_cauchy, ignore_weibull)
|
max_r |
maximum radius of kernel in meters, default = 300 |
cellsize |
cell size in meters, default = 30 |
pars |
dataframe with columns for parameters, default is NULL. Only uses first row. Overrides the paramaters below (mu1:scale) |
mu1 |
mu1 parameter of mixed von Mises distribution, 0 radians is due East because everything is based on the Unit Circle |
mu2 |
mu2 parameter of mixed von Mises distribution, 0 radians is due East because everything is based on the Unit Circle |
kappa1 |
kappa1 parameter of mixed von Mises distribution |
kappa2 |
kappa2 parameter of mixed von Mises distribution |
mix |
mixture (p) parameter of mixed von Mises distribution |
shape |
shape parameter of Weibull distribution |
scale |
scale parameter of Weibull distribution |
ignore_von_mises |
logical, removes mixed von Mises kernel's contribution to output raster. Default is FALSE. |
ignore_weibull |
logical, removes Weibull kernel's contribution to output raster. Default is FALSE. |
the Weibull parameters need to be based on distance in meters
matrix
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