Nothing
context("Test letsR functions")
test_that("Basic usage works", {
xy <- cbind(1:10, 1:10)
species <- rep(c('Milvus milvus', 'Buteo buteo'), each = 5)
PresAbMat <- lets.presab.points(xy, species)
expect_equal(class(PresAbMat), "PresenceAbsence")
expect_equal(dim(PresAbMat[[1]]), c(10, 4))
expect_equal(sum(PresAbMat[[1]][,3]), 5)
expect_equal(sum(PresAbMat[[1]][,4]), 5)
expect_true(inherits(PresAbMat[[2]], "SpatRaster"))
# Species list as factor not character
species <- factor(rep(c('Milvus milvus', 'Buteo buteo'), each = 5))
PresAbMat <- lets.presab.points(xy, species)
expect_equal(class(PresAbMat), "PresenceAbsence")
# # Check other projections
# crsdif <- terra::crs("+proj=lcc +lat_1=48 +lat_2=33 +lon_0=-100 +ellps=WGS84")
# PresAbMat <- lets.presab.points(xy, species, crs = crsdif)
# expect_equal(class(PresAbMat), "PresenceAbsence")
})
# Doesn't work
test_that("Single species works", {
xy <- cbind(1:10, 1:10)
species <- rep('Buteo buteo', 10)
PresAbMat <- lets.presab.points(xy, species)
expect_equal(class(PresAbMat), "PresenceAbsence")
})
# Single records doesn't work. Line 87/98 of lets_presab_points.R
# Probably not a big deal, noone uses single records.
test_that("Single records works", {
xy <- cbind(1:3, 1:3)
species <- c('Buteo buteo', 'Milvus milvus', 'Meles meles')
PresAbMat <- lets.presab.points(xy, species,
crs=terra::crs("+proj=longlat +datum=WGS84"))
expect_equal(class(PresAbMat), "PresenceAbsence")
})
test_that("Other parameters work", {
xy <- cbind(1:10, 1:10)
species <- rep(c('Milvus milvus', 'Buteo buteo'), each = 5)
PresAbMat1 <- lets.presab.points(xy, species, resol = 5 )
expect_equal(class(PresAbMat1), "PresenceAbsence")
PresAbMat2 <- lets.presab.points(xy, species, remove.cells = FALSE )
expect_equal(class(PresAbMat2), "PresenceAbsence")
PresAbMat3 <- lets.presab.points(xy, species, remove.sp = FALSE )
expect_equal(class(PresAbMat3), "PresenceAbsence")
PresAbMat4 <- lets.presab.points(xy, species, show.matrix = TRUE )
expect_true(is.matrix(PresAbMat4))
})
# test_that("Count does not change results in iucn", {
# skip_on_cran()
# spp <- c("Milvus milvus", "Buteo buteo")
#
# x1 <- lets.iucn(spp, count = TRUE)
# x2 <- lets.iucn(spp, count = FALSE)
#
# expect_equal(x1, x2)
#
# })
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