rangr (version 1.0.6)

to_rast: Transformation sim_results To Raster

Description

This function transforms selected subset of abundance matrices from sim_results into SpatRaster object. Layers are specified by time_points, which can be one or multiple points in time.

Usage

to_rast(sim_results, time_points = sim_results$simulated_time, template = NULL)

Value

SpatRaster based on sim_results object with layers corresponding to time_points.

Arguments

sim_results

sim_results object created by sim

time_points

numeric vector of length 1 or more; specifies points in time from which SpatRaster will be created - as default the last year of simulation; if length(time_points) > 0 SpatRaster will be returned with layers for each element of time_points

template

SpatRaster object; can be used as a template to create returned object

References

Hijmans R (2024). terra: Spatial Data Analysis. R package version 1.7-81, https://rspatial.github.io/terra/, https://rspatial.org/

Examples

# \donttest{

# data preparation
library(terra)

n1_small <- rast(system.file("input_maps/n1_small.tif", package = "rangr"))
K_small <- rast(system.file("input_maps/K_small.tif", package = "rangr"))

sim_data <- initialise(
  n1_map = n1_small,
  K_map = K_small,
  r = log(2),
  rate = 1 / 1e3
)

# simulation
sim_1 <- sim(obj = sim_data, time = 100)

# raster construction
my_rast <- to_rast(
  sim_1,
  time_points = c(1, 10, 20, 100),
  template = sim_data$K_map
)

# visualization
plot(my_rast, range = range(sim_1$N_map, na.rm = TRUE))

# }