landscapemetrics_class_landscape_value <- lsm_c_pafrac(landscape, verbose = FALSE)
test_that("lsm_c_pafrac is typestable", {
expect_s3_class(lsm_c_pafrac(landscape,
verbose = FALSE), "tbl_df")
expect_s3_class(lsm_c_pafrac(landscape_stack,
verbose = FALSE), "tbl_df")
expect_s3_class(lsm_c_pafrac(landscape_list,
verbose = FALSE), "tbl_df")
})
test_that("lsm_c_pafrac returns the desired number of columns", {
expect_equal(ncol(landscapemetrics_class_landscape_value), 6)
})
test_that("lsm_c_pafrac returns in every column the correct type", {
expect_type(landscapemetrics_class_landscape_value$layer, "integer")
expect_type(landscapemetrics_class_landscape_value$level, "character")
expect_type(landscapemetrics_class_landscape_value$class, "integer")
expect_type(landscapemetrics_class_landscape_value$id, "integer")
expect_type(landscapemetrics_class_landscape_value$metric, "character")
expect_type(landscapemetrics_class_landscape_value$value, "double")
})
test_that("lsm_c_pafrac throws warning for less than 10 patches", {
expect_warning(lsm_c_pafrac(landscape_uniform),
regexp = "Class 1: PAFRAC = NA for class with < 10 patches",
fixed = TRUE)
})
test_that("lsm_c_pafrac equals FRAGSTATS", {
lsm_landscape <- lsm_c_pafrac(landscape) |> dplyr::pull(value)
lsm_augusta <- lsm_c_pafrac(augusta_nlcd) |> dplyr::pull(value)
fs_landscape <- dplyr::filter(fragstats_class, LID == "landscape", metric == "pafrac") |> dplyr::pull(value)
fs_augusta <- dplyr::filter(fragstats_class, LID == "augusta_nlcd", metric == "pafrac") |> dplyr::pull(value)
expect_true(test_relative(obs = lsm_landscape, exp = fs_landscape, tolerance = tol_rel))
expect_true(test_relative(obs = lsm_augusta, exp = fs_augusta, tolerance = tol_rel))
})
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