landsepi (version 0.0.8)

dispP_1: Pathogen dispersal data for testing.

Description

Five vectorised dispersal matrices of the pathogen, associated with landscape 1, composed of 155 fields.

Usage

dispP_1

Format

The format is: num [1:24025] 8.81e-01 9.53e-04 7.08e-10 1.59e-10 3.29e-06 ...

Details

The pathogen dispersal matrix gives the probability for a pathogen in a field i (row) to migrate to field i' (column) through dispersal. It is computed based on a dispersal kernel and the euclidian distance between each point in fields i and i', using the CaliFloPP algorithm (Bouvier et al. 2009). In this example, the dispersal kernel is an isotropic power-law function of equation: f(x)=((b-2)*(b-1)/(2*pi*a^2)) * (1 + x/a)^(-b) with a=40 a scale parameter and b=7 related to the weight of the dispersal tail. The expected mean dispersal distance is given by 2*a/(b-3)=20 m.

References

Bouvier A, Ki<U+00EA>u K, Adamczyk K, Monod H. Computation of the integrated flow of particles between polygons. Environ. Model Softw. 2009;24(7):843-9. doi: http://dx.doi.org/10.1016/j.envsoft.2008.11.006.

Examples

# NOT RUN {
dispP_1
summary(dispP_1)
## maybe str(dispP_1) ; plot(dispP_1) ...
# }