library(track2KBA)
library(sp)
dat <- read.csv("boobies_testdata.csv")
trips <- projectTracks(dat, projType = "azim", custom = TRUE)
KDE <- estSpaceUse(trips, scale = 50, levelUD = 50, res = 25)
expect_error(findSite("KDE"), pattern = "class")
expect_message(findSite(KDE, represent = 100, levelUD = 50),
pattern = "population size")
if (ignore(expect_silent)(
findSite(KDE, represent = 100, levelUD = 50, popSize = 100)
)) {
expect_silent(
findSite(KDE, represent = 100, levelUD = 50, popSize = 100)
)
} else {
expect_warning(
findSite(KDE, represent = 100, levelUD = 50, popSize = 100),
pattern = "CRS object"
)
}
expect_warning(findSite(as(KDE[[1]], "SpatialPixelsDataFrame"),
represent = 100, levelUD = 50),
pattern = "LOW SAMPLE SIZE")
if (ignore(expect_silent)(
findSite(KDE, represent = 80, levelUD = 50, popSize = 100)
)) {
expect_silent(
findSite(KDE, represent = 80, levelUD = 50, popSize = 100)
)
} else {
expect_warning(
findSite(KDE, represent = 80, levelUD = 50, popSize = 100),
pattern = "CRS object"
)
}
if (ignore(expect_silent)(
findSite(KDE, represent = 60, levelUD = 50, popSize = 100)
)) {
expect_silent(
findSite(KDE, represent = 60, levelUD = 50, popSize = 100)
)
} else {
expect_warning(
findSite(KDE, represent = 60, levelUD = 50, popSize = 100),
pattern = "CRS object"
)
}
expect_message(findSite(KDE, represent = 25, levelUD = 50, popSize = 100),
pattern = "UNREPRESENTATIVE SAMPLE")
expect_message(findSite(KDE, represent = 100, levelUD = 50, popSize = 100,
thresh = 5),
pattern = "thresh")
if (ignore(expect_silent)(
any(class(findSite(KDE, represent = 100, levelUD = 50,
popSize = 100, polyOut = TRUE)) == "sf")
)) {
expect_silent(any(class(findSite(KDE, represent = 100, levelUD = 50,
popSize = 100, polyOut = TRUE)) == "sf"))
} else {
expect_warning(
any(class(findSite(KDE, represent = 100, levelUD = 50,
popSize = 100, polyOut = TRUE)) == "sf"),
pattern = "CRS object"
)
}
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