species.graph: Simulate landscape occupation

In MetaLandSim: Landscape and Range Expansion Simulation

Simulate landscape occupation

Description

Given a set of parameters, this function allows to simulate the occupation of an empty landscape, class "metapopulation".

Usage

species.graph(rl, method = 'percentage', parm, nsew = 'none', plotG = TRUE)

Arguments

rl	Object of class "landscape".
method	One of the following (default 'percentage'): click - individually select the patches with occurrence of the species by clicking on the map. Use only for individual landscape simulations. percentage - percentage of the patches to be occupied by the species. number - number of patches to be occupied by the species.
parm	Parameter to specify the species occurrence - either percentage of occupied patches or number of occupied patches, depending on the method chosen.
nsew	'N', 'S', 'E', 'W' or none - point of entry of the species in the landscape. By default set to "none".
plotG	TRUE/FALSE, to show graphic output.

Value

Returns a list, with the following elements:

• mapsize - Landscape mosaic side length, in meters.

• minimum.distance - Minimum distance between patches centroids, in meters.

• mean.area - Mean patch area in hectares.

• SD.area - Standard deviation of patches area.

• number.patches - Total number of patches.

• dispersal - Species mean dispersal ability, in meters.

• distance.to.neighbours - Data frame with pairwise distance between patches, in meters.

• nodes.characteristics - Data frame with patch (node) information (coordinates, area, radius, cluster, distance to nearest neighbour, ID and species).

An additional field, colour, has only graphical purposes.

Author(s)

Frederico Mestre and Fernando Canovas

See Also

rland.graph, simulate_graph, remove.species

Examples

data(rland)

##Creating a 50% occupation in an empty landscape (using the "landscape" dataset):

sp1 <- species.graph(rl=rland, method="percentage", parm=50, nsew="none", plotG=TRUE)

MetaLandSim documentation built on Jan. 13, 2023, 1:11 a.m.