Description Usage Arguments Details
View source: R/brk_dispersal.R
Simulate contaminants or individuals frequency over the landscape by two steps: dispersal of elements and local intensity/frequency of elements after dispersal.
1 2 3 4 5 6 7 8 9 | brk_dispersal(
object,
size_raster,
tolerance_square,
kernel,
kernel.options,
nbr_cores,
squared_frame
)
|
object |
sf or patialPolygonsDataFrame. A simple feature of class sf or SpatialPolygonsDataFrame |
size_raster |
integer. Raster size (default = 2^10) |
tolerance_square |
numeric. Tolerance rate to test if an sf set is squared |
kernel |
string. Dispersion kernel, function name (default = NIG) |
kernel.options |
list. Parameters list for the kernel function |
nbr_cores |
integer. Parameters for parallel computing: the
number of cores to use, i.e. at most how many child processes
will be run simultaneously. Default is |
squared_frame |
sf. Select the sf to be considered as frame to rasterized. Default is 'NULL', and 'object' is used. |
The dispersal of contaminants or individuals is implemented by rastering the landscape and by computing the convolution between sources emissions and a dispersal kernel.
The dispersion kernel by default is Normal Inverse Gaussian kernel
("NIG" function). Currently, two others are implemented "geometric"
(with parameter a
) and "2Dt" kernels (with parameters a
,
b
, c1
, c2
).
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