simulate_graph
as many times as required (argument 'iter').iterate.graph(iter, mapsize, dist_m, areaM, areaSD, Npatch, disp,
span, par1 = 'none', par2 = NULL, par3 = NULL, par4 = NULL,
par5 = NULL, method = 'percentage', parm, nsew = 'none',
a_min, param_df, kern, conn, colnz, ext, beta1,
b = 1, c1 = NULL, c2 = NULL, z = NULL, R = NULL, graph)
rland.graph
.rland.graph
.rland.graph
.rland.graph
.rland.graph
.rland.graph
.span.graph
.span.graph
. Default NULL.span.graph
. Default NULL.species.graph
.species.graph
.species.graph
.parameter.estimate
, including:
spom
.spom
. By default set to 1.spom
.spom
.spom
.spom
.spom
function.rland.graph
, span.graph
, species.graph
, simulate_graph
, spom
data(param1)
#Example with 2 iterations (ideally >100):
it1 <- iterate.graph(iter = 2, mapsize =10000, dist_m = 10, areaM = 0.05,
areaSD = 0.02, Npatch = 250, disp = 800, span = 100,
par1 = "hab", par2 = 2, par3 = 0.0001, par4 = NULL,
par5 = NULL, method = "percentage", parm = 50,
nsew = "none", a_min = 0, param_df = param1,
kern = "op1", conn = "op1", colnz = "op1", ext = "op1",
beta1 = NULL, b = 1, c1 = NULL, c2 = NULL, z = NULL,
R = NULL, graph =TRUE)
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