View source: R/ClassConstructors.R
make.density | R Documentation |
Creates a density grid across the study area describing the distribution of animals.
make.density(
region = make.region(),
x.space = 20,
y.space = NULL,
constant = numeric(0),
fitted.model = NULL,
density.formula = NULL,
density.surface = list()
)
region |
the Region object in which the density grid will be created |
x.space |
the intervals in the grid in the x direction |
y.space |
the intervals in the grid in the y direction |
constant |
a value describing a constant density across the surface. If not supplied a default value of 1 is used for all strata. |
fitted.model |
|
density.formula |
a formula of x and/or y describing the density surface. |
density.surface |
Object of class |
There are multiple ways to create the density grid. The most straight forward
is to create a grid with constant values (to which high and low areas can later
be added) or pass in a fitted mgcv gam
. The gam model should only be fitted
with x and y as explanatory variables. If you plan on trying multiple
animal distributions by adding high and low areas to a constant surface it is
recommended to make a copy of the initial flat density grid object as the first
step in grid generation is computationally intensive and can take a little while
to complete, especially if you have a fine density grid.
Density-class
object
Laura Marshall
make.region
# A simple density surface with a constant value of 1 can be created within a rectangular
# Create a region from shapefile
shapefile.name <- system.file("extdata", "StAndrew.shp", package = "dssd")
region <- make.region(region.name = "St Andrews bay",
shape = shapefile.name)
# Create a density object
density <- make.density(region = region,
x.space = 1000,
constant = 1)
# Add some ares of higher / lower density
density <- add.hotspot(object = density,
centre = c(-170000, 6255000),
sigma = 10000,
amplitude = 4)
density <- add.hotspot(object = density,
centre = c(-150000, 6240000),
sigma = 10000,
amplitude = -0.9)
# Plot the density
plot(density, region)
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