crowding.table: Define crowding table

In pwhigham/spatibm: A Spatial Individual-based model for land-based organisms

Description

Define the crowding table for the population This involves defining (for both males and females) the age classes and then for each age class, the density classes, and for each age class/density Class the probability of survival given this density measure for the specific age class. To make the definition somewhat simplier we assume that the number of density classes are the same for each age class. This isn't a limitation, and makes it somewhat easier to define the probabilities, since you just have to have the same number per age class. To make it simplier (and conceptually easier to think about) we split the male and female definitions.

Usage

crowding.table(m.age.class = c(5, Inf), m.den.class = c(0.5, 1, 4, Inf),
  m.prob = c(1, 0.9, 0.5, 0.01, 1, 0.9, 0.5, 0.01), f.age.class = c(4, Inf),
  f.den.class = c(0.5, 1, 2, 4, Inf), f.prob = c(1, 0.9, 0.8, 0.1, 0.01, 1,
  0.9, 0.8, 0.1, 0.01))

Arguments

m.age.class	Male age classes
m.den.class	Male density classes
m.prob	Male probabilities of survival given any age and density class
f.age.class	Female age classes
f.prob	Female probabilities of survival given any age and density class
fden.class	Female density classes

Value

The crowding table. Note some basic error checking is performed. The resulting table should be visualised using plot.ct to confirm the crowding table is correctly defined.

Examples

ct <- crowding.table()  # Use defaults
plot.crowding.table(ct)

pwhigham/spatibm documentation built on Aug. 30, 2019, 1:16 p.m.