kernels: Common seed isotropic dispersal kernels.

In KevCaz/recruitR: Dispersal kernels

Description

This is a set of five disersal kernel commonly used to model seeds dispersal.

Usage

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.

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

seqx <- seq(0,10,0.01)
plot(seqx, kern_lognormal(seqx,3,.2), type='l')

KevCaz/recruitR documentation built on Nov. 27, 2020, 11:33 p.m.