# Create example data set #
# load libraries
library(dplyr)
library(rabmp)
library(raster)
library(spatstat)
library(tibble)
# set seed
set.seed(42)
type <- c("adult", "dead")
# example data with similar probs than field data of old-growth forest for species, dbh and dead/living
example_input_data <- spatstat::rThomas(kappa = 0.001, scale = 10, mu = 5,
win = spatstat::owin(c(0, 500), c(0, 500))) %>%
tibble::as_tibble() %>%
setNames(c("x_coord", "y_coord")) %>%
dplyr::mutate(Spec = "beech",
bhd = sqrt(rnorm(n = n(), mean = 21.12675, sd = 21.39956) ^ 2),
bhd = replace(bhd, bhd < 1, 1),
Class = sample(x = type, size = n(),
prob = c(0.8783135, 0.1216865), replace = TRUE),
Class = case_when(Class != "dead" & bhd <= 10 ~ "sapling",
Class != "dead" & bhd > 10 ~ "adult",
Class == "dead" ~ "dead"))
# save data with max compression
usethis::use_data(example_input_data, compress = "xz", overwrite = TRUE)
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