Nothing
data("sample_explan_data")
sample_explan_data$fakeblock <- sample(1:3, nrow(sample_explan_data), replace = T)
sample_explan_data$fakeweights <- sample(1:50, nrow(sample_explan_data), replace = T)
sample_explan_data$fakeabundance <- sample(1:50, nrow(sample_explan_data), replace = T)
sample_explan_data_test <- dplyr::sample_n(sample_explan_data, 100)
sample_explan_data_train <- dplyr::sample_n(sample_explan_data, 100)
data("sample_extent_data")
colnames(sample_explan_data_train)[14]<-"Precipitation8Wsum"
results1 <- brt_fit(occ.data = sample_explan_data_train,
test.data = sample_explan_data_test,
weights.col = "fakeweights",
response.col = "presence.absence",
distribution = "bernoulli",
n.trees = 1,
shrinkage = 0.01,
interaction.depth = 1,
varnames = "Precipitation8Wsum",
block.col = "fakeblock"
)
results1<-results1[1:2]
results1_eval <- list(c(0.6, 0.7))
results3 <- brt_fit(occ.data = sample_explan_data_train,
test.data = sample_explan_data_test,
response.col = "fakeabundance",
distribution = "gaussian",
varnames = "Precipitation8Wsum",
n.tree = 1,
block.col = "fakeblock",
)
results3<-results3[1:2]
results3_eval <- list(c(0.70, 0.56))
test_that("Stops if no models provided", {
expect_error(
dynamic_proj(
dates = c("2010-01-01", "2010-04-01"),
local.directory = testthat::test_path("test-files"),
projection.method = c("binary", "proportional", "abundance", "stacked"),
sdm.thresh = 0.5,
sdm.weight = as.numeric(unlist(results1_eval)),
sam.weight = as.numeric(unlist(results3_eval)),
save.directory = tempdir()
)
)
})
test_that("Stops if no dates provided", {
expect_error(
dynamic_proj(
local.directory = testthat::test_path("test-files"),
projection.method = c("binary", "proportional", "abundance", "stacked"),
sdm.mod = results1,
sdm.thresh = 0.5,
sdm.weight = as.numeric(unlist(results1_eval)),
sam.mod = results3,
sam.weight = as.numeric(unlist(results3_eval)),
save.directory = tempdir()
)
)
})
test_that("Stops if local.directory doesn't exist", {
expect_error(
dynamic_proj(
dates = c("2010-01-01", "2010-04-01"),
local.directory = "not/real",
projection.method = c("binary", "proportional", "abundance", "stacked"),
sdm.mod = results1,
sdm.thresh = 0.5,
sdm.weight = as.numeric(unlist(results1_eval)),
sam.mod = results3,
sam.weight = as.numeric(unlist(results3_eval)),
save.directory = tempdir()
)
)
})
test_that("Stops if no save.directory or save.folder provided", {
expect_error(
dynamic_proj(
dates = c("2010-01-01", "2010-04-01"),
local.directory = testthat::test_path("test-files"),
projection.method = c("binary"),
sdm.mod = results1,
sdm.thresh = 0.5,
sdm.weight = as.numeric(unlist(results1_eval)),
sam.mod = results3,
sam.weight = as.numeric(unlist(results3_eval))
)
)
})
test_that("Stops if projection.method doesn't exist", {
expect_error(
dynamic_proj(
dates = c("2010-01-01", "2010-04-01"),
local.directory = testthat::test_path("test-files"),
projection.method = c("fake"),
sdm.mod = results1,
sdm.thresh = 0.5,
sdm.weight = as.numeric(unlist(results1_eval)),
sam.mod = results3,
sam.weight = as.numeric(unlist(results3_eval)),
save.directory = tempdir()
)
)
})
test_that("Stops if threshold not equal to 1 or length of blocks", {
expect_error(
dynamic_proj(
dates = c("2010-01-01", "2010-04-01"),
local.directory = testthat::test_path("test-files"),
projection.method = c("binary", "proportional", "abundance", "stacked"),
sdm.mod = results1,
sdm.thresh = c(0.5, 0.9),
sdm.weight = as.numeric(unlist(results1_eval)),
sam.mod = results3,
sam.weight = as.numeric(unlist(results3_eval)),
save.directory = tempdir()
)
)
})
test_that("Stops if SDM weights not equal to 1 or length SDM.MODELS", {
expect_error(
dynamic_proj(
dates = c("2010-01-01", "2010-04-01"),
local.directory = testthat::test_path("test-files"),
projection.method = c("binary", "proportional", "abundance", "stacked"),
sdm.mod = results1,
sdm.thresh = c(0.5),
sdm.weight = c(1, 0),
sam.mod = results3,
sam.weight = as.numeric(unlist(results3_eval)),
save.directory = tempdir()
)
)
})
test_that("Stops if SAM weights not equal to 1 or length SAM.MODELS", {
expect_error(
dynamic_proj(dates = c("2010-01-01", "2010-04-01"),
local.directory = testthat::test_path("test-files"),
projection.method = c("binary", "proportional", "abundance", "stacked"),
sdm.mod = results1,
sdm.weight = as.numeric(unlist(results1_eval)),
sam.mod = results3,
sam.weight = c(1, 0),
save.directory = tempdir()
)
)
})
test_that("Success if projection.method = all", {
save.directory = tempdir()
dates = c("2010-01-01")
filenames <- paste0(dates, "_stacked.tif")
dynamic_proj(dates = c("2010-01-01"),
local.directory = testthat::test_path("test-files"),
projection.method = c("binary", "proportional", "abundance", "stacked"),
sdm.mod = results1,
sdm.thresh = 0.5,
sdm.weight = as.numeric(unlist(results1_eval)),
cov.file.type = "csv",
sam.mod = results3,
sam.weight = as.numeric(unlist(results3_eval)),
save.directory = tempdir()
)
expect_equal(file.exists(paste0(save.directory, "/", filenames[1])), TRUE)
})
test_that("Success if projection.method = all one mod", {
save.directory = tempdir()
dates = c("2010-04-01")
filenames <- paste0(dates, "_stacked.tif")
dynamic_proj(dates = c("2010-04-01"),
local.directory = testthat::test_path("test-files"),
projection.method = c("binary", "proportional", "abundance", "stacked"),
sdm.mod = results1[[1]],
sdm.thresh = 0.5,
sdm.weight = 1,
cov.file.type = "csv",
sam.mod = results3[[1]],
sam.weight = 1,
save.directory = tempdir()
)
expect_equal(file.exists(paste0(save.directory, "/", filenames[1])), TRUE)
})
test_that("Success if projection.method = tif", {
save.directory = tempdir()
dates = c("2011-01-01")
filenames <- paste0(dates, "_stacked.tif")
dynamic_proj(dates = c("2011-01-01"),
local.directory = testthat::test_path("test-files"),
projection.method = c("binary", "proportional", "abundance", "stacked"),
sdm.mod = results1,
sdm.thresh = 0.5,
sdm.weight = as.numeric(unlist(results1_eval)),
cov.file.type = "tif",
sam.mod = results3,
sam.weight = as.numeric(unlist(results3_eval)),
save.directory = tempdir()
)
expect_equal(file.exists(paste0(save.directory, "/", filenames[1])), TRUE)
})
test_that("Success if projection.method = tif and just sdm", {
save.directory = tempdir()
dates = c("2010-01-01")
filenames <- paste0(dates, "_stacked.tif")
dynamic_proj(dates = c("2010-01-01"),
local.directory = testthat::test_path("test-files"),
projection.method = c("binary"),
sdm.mod = results1[[1]],
sdm.thresh = 0.5,
sdm.weight = 1,
cov.file.type = "tif"
,
save.directory = tempdir()
)
expect_equal(file.exists(paste0(save.directory, "/", filenames[1])), TRUE)
})
data("sample_extent_data")
test_that("Success if spatial mask used", {
save.directory = tempdir()
dates = c("2010-04-01")
filenames <- paste0(dates, "_stacked.tif")
dynamic_proj(dates = c("2010-04-01"),
local.directory = testthat::test_path("test-files"),
projection.method = c("binary", "proportional", "abundance", "stacked"),
sdm.mod = results1[[1]],
sdm.thresh = 0.5,
sdm.weight = 1,
cov.file.type = "csv",
spatial.mask = sample_extent_data,
sam.mod = results3[[1]],
sam.weight = 1,
save.directory = tempdir()
)
expect_equal(file.exists(paste0(save.directory, "/", filenames[1])), TRUE)
})
test_that("Success if projection.method = tif and spatial mask used", {
save.directory = tempdir()
dates = c("2011-01-01")
filenames <- paste0(dates, "_stacked.tif")
dynamic_proj(dates = c("2011-01-01"),
local.directory = testthat::test_path("test-files"),
projection.method = c("binary", "proportional", "abundance", "stacked"),
sdm.mod = results1,
sdm.thresh = 0.5,
sdm.weight = as.numeric(unlist(results1_eval)),
cov.file.type = "tif",
spatial.mask = sample_extent_data,
sam.mod = results3,
sam.weight = as.numeric(unlist(results3_eval)),
save.directory = tempdir()
)
expect_equal(file.exists(paste0(save.directory, "/", filenames[1])), TRUE)
})
test_that("Success if projection.method = tif and spatial mask multi used", {
save.directory = tempdir()
dates = c("2011-01-01")
filenames <- paste0(dates, "_stacked.tif")
dynamic_proj(dates = c("2011-01-01"),
local.directory = testthat::test_path("test-files"),
projection.method = c("binary", "proportional", "abundance", "stacked"),
sdm.mod = results1,
sdm.thresh = 0.5,
sdm.weight = as.numeric(unlist(results1_eval)),
cov.file.type = "tif",
spatial.mask = sample_extent_data$geometry,
sam.mod = results3,
sam.weight = as.numeric(unlist(results3_eval)),
save.directory = tempdir()
)
expect_equal(file.exists(paste0(save.directory, "/", filenames[1])), TRUE)
})
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