raptr (version 0.0.3)

space.plot: Plot space

Description

This function plots the distribution of planning units and the distribution of demand points for a particular species in an attribute space. Note that this function only works for attribute spaces with one, two, or three dimensions.

Usage

space.plot(x, species, space, ...)
# S3 method for RapData
space.plot(x, species, space = 1,
  pu.color.palette = c("#4D4D4D4D", "#00FF0080", "#FFFF0080", "#FF00004D"),
  main = NULL, ...)
# S3 method for RapUnsolved
space.plot(x, species, space = 1,
  pu.color.palette = c("#4D4D4D4D", "#00FF0080", "#FFFF0080", "#FF00004D"),
  main = NULL, ...)
# S3 method for RapSolved
space.plot(x, species, space = 1, y = 0,
  pu.color.palette = c("#4D4D4D4D", "#00FF0080", "#FFFF0080", "#FF00004D"),
  main = NULL, ...)

Arguments

x

RapData, RapUnsolved, or RapSolved object.

species

character name of species, or integer index for species.

space

integer index of attribute space.

...

not used.

pu.color.palette

character name of colors or color palette (brewer.pal) to indicate planning unit statuses. Defaults to c('grey30', 'green', 'black', 'red') which indicate non selected, selected, locked in, and locked out (respectively).

main

character title for the plot. Defaults to NULL and a default title is used.

y

NULL integer 0 to return values for best solution, integer value greater than 0 for y'th solution value.

Examples

# NOT RUN {
# load RapSolved objects
data(sim_ru, sim_rs)
# plot first species in first attribute space
space.plot(sim_ru, 1, 1)
# plot distribution of solutions for first species in first attribute space
space.plot(sim_rs, 1, 1)
# }