# set up data path for this test
data_path <- file.path(tempdir(), "pastclim_data")
unlink(data_path, recursive = TRUE) # it should not exist, but remove it just in case
# set data path
set_data_path(
path_to_nc = data_path,
ask = FALSE,
write_config = FALSE,
copy_example = TRUE
)
################################################################################
test_that("location_slice", {
locations <- data.frame(
name = c("A", "B", "C", "D"),
longitude = c(0, 90, -120, -9), latitude = c(20, 45, 60, 37),
time_bp = c(0, -10000, -20000, -10000)
)
this_series <- region_series(
bio_variables = c("bio01", "bio12"),
dataset = "Example"
)
# using a data frame of locations and a separate vector of
this_climate <- location_slice_from_region_series(
x = locations[, c("longitude", "latitude")],
time_bp = locations$time_bp, region_series = this_series, nn_interpol = FALSE
)
expect_false(is.na(this_climate[1, "bio01"]))
expect_true(is.na(this_climate[3, "bio01"]))
expect_true(is.na(this_climate[4, "bio01"]))
# this function is more thoroughly tested in locations_slice, which is a
# wrapper around this function with added code to generate the region series
})
################################################################################
# clean up for the next test
unlink(data_path, recursive = TRUE)
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