make.RapData | R Documentation |
This function prepares spatially explicit planning unit, species data, and landscape data layers for RAP processing.
make.RapData(
pus,
species,
spaces = NULL,
amount.target = 0.2,
space.target = 0.2,
n.demand.points = 100L,
kernel.method = c("ks", "hypervolume")[1],
quantile = 0.5,
species.points = NULL,
n.species.points = ceiling(0.2 * terra::global(species, "sum", na.rm = TRUE)[[1]]),
include.geographic.space = TRUE,
scale = TRUE,
verbose = FALSE,
...
)
pus |
|
species |
|
spaces |
|
amount.target |
|
space.target |
|
n.demand.points |
|
kernel.method |
|
quantile |
|
species.points |
|
n.species.points |
|
include.geographic.space |
|
scale |
|
verbose |
|
... |
additional arguments to |
A new RapData
object.
RapData, RapData()
.
## Not run:
# load data
cs_pus <- sf::read_sf(
system.file("extdata", "cs_pus.gpkg", package = "raptr")
)
cs_spp <- terra::rast(
system.file("extdata", "cs_spp.tif", package = "raptr")
)
cs_space <- terra::rast(
system.file("extdata", "cs_space.tif", package = "raptr")
)
# make RapData object using the first 10 planning units in the dat
x <- make.RapData(cs_pus[1:10,], cs_spp, cs_space,
include.geographic.space = TRUE)
# print object
print(x)
## End(Not run)
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