This is a set of five disersal kernel commonly used to model seeds dispersal.
kernels() kern_gaussian(dist, scal) kern_exponential(dist, scal) kern_exponential_power(dist, scal, shap) kern_2Dt(dist, scal, shap) kern_lognormal(dist, scal, shap) meanDispDist_gaussian(dist, scal) meanDispDist_exponential(dist, scal) meanDispDist_exponential_power(dist, scal, shap) meanDispDist_2Dt(dist, scal, shap) meanDispDist_lognormal(dist, scal, shap)
Arguments
| dist | a real positive number giving the dispersal distance. |
|---|---|
| scal | a real positive number giving the scale parameter of the kernel. |
| shap | a real positive number giving the shape parameter of the kernel. |
Value
The pdf values at distance dist.
Functions
kern_gaussian: Exponential kernel.kern_exponential: Exponential kernel.kern_exponential_power: Dispersal kernels from the exponential-power family.kern_2Dt: 2Dt kernel.kern_lognormal: Lognormal kernel.meanDispDist_gaussian: Exponential kernel.meanDispDist_exponential: Exponential kernel.meanDispDist_exponential_power: Dispersal kernels from the exponential-power family.meanDispDist_2Dt: 2Dt kernel.meanDispDist_lognormal: Lognormal kernel.
References
Nathan, R., Klein, E., Robledo-Arnuncio, J.J. and Revilla, E. (2012) Dipsersal Kernels: Review in Dispersal Ecology and Evolution. Oxford University Press.
