meanDispDist: Mean dispersal distance
In KevCaz/recruitR: Dispersal kernels
Description
Usage
Arguments
Details
Value
Author(s)
References
Examples
Description
Mean dispersal distance for the five disersal kernel implemented.
Usage
1
meanDispDist(name, scal, shap = NULL)
Arguments
name
a character string that names of the dispersal kernel chosen.
scal
a real positive number giving the scale parameter of the kernel.
shap
a real positive number giving the shape parameter of the kernel.
Details
Currently, valid names are gaussian, exponential,
exponential_power, k2Dt and lognormal.
Value
The mean dispersal distance.
Author(s)
Kevin Cazelles
References
Nathan, R., Klein, E., Robledo-Arnuncio, J.J. and Revilla, E. (2012)
Dipsersal Kernels: Review in Dispersal Ecology and Evolution. Oxford University Press.
Examples
1
meanDispDist('gaussian', 10)
KevCaz/recruitR documentation built on Nov. 27, 2020, 11:33 p.m.
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Description Usage Arguments Details Value Author(s) References Examples
Description
Mean dispersal distance for the five disersal kernel implemented.
Usage
1 | meanDispDist(name, scal, shap = NULL)
|
Arguments
name |
a character string that names of the dispersal kernel chosen. |
scal |
a real positive number giving the scale parameter of the kernel. |
shap |
a real positive number giving the shape parameter of the kernel. |
Details
Currently, valid names are gaussian, exponential,
exponential_power, k2Dt and lognormal.
Value
The mean dispersal distance.
Author(s)
Kevin Cazelles
References
Nathan, R., Klein, E., Robledo-Arnuncio, J.J. and Revilla, E. (2012) Dipsersal Kernels: Review in Dispersal Ecology and Evolution. Oxford University Press.
Examples
1 | meanDispDist('gaussian', 10)
|
R Package Documentation
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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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