library(track2KBA)
library(lubridate)
library(sp)
library(sf)
dat <- data.frame(Longitude = c(1, 1.01, 1.02, 1.04, 1.05, 1.03, 1),
Latitude = c(1, 1.01, 1.02, 1.03, 1.021, 1.01, 1),
ID = rep("A", 7),
DateTime = as.character(
ymd_hms("2021-01-01 00:00:00") + hours(0:6))
)
expect_error(estSpaceUse(dat, scale=50, levelUD = 50), pattern = "data.frame")
trips <- as_Spatial(
st_transform(sf::st_as_sf(
dat, coords = c("Longitude", "Latitude"),
crs = 4326, agr = "constant"),
crs = 32631)
)
expect_error(estSpaceUse(trips, levelUD = 50), pattern = "scale")
expect_message(estSpaceUse(trips, scale = 50, levelUD = 50),
pattern = "grid resolution")
if (ignore(expect_silent)(
estSpaceUse(trips, scale=50, res=5, levelUD = 50, polyOut=TRUE)
)) {
expect_silent(
estSpaceUse(trips, scale=50, res=5, levelUD = 50, polyOut=TRUE)
)
} else {
expect_warning(
estSpaceUse(trips, scale=50, res=5, levelUD = 50, polyOut=TRUE),
pattern = "CRS object"
)
}
if (ignore(expect_silent)(
estSpaceUse(trips, res=5, scale=50, levelUD = 50, polyOut=TRUE)
)) {
expect_silent(
estSpaceUse(trips, res=5, scale=50, levelUD = 50, polyOut=TRUE)
)
} else {
expect_warning(
estSpaceUse(trips, res=5, scale=50, levelUD = 50, polyOut=TRUE),
pattern = "CRS object"
)
}
expect_message(estSpaceUse(trips, res=5, scale=.5, levelUD = 50),
pattern = "very small")
expect_warning(estSpaceUse(trips, res=5, scale=.5, levelUD = 50, polyOut = TRUE)
, pattern = "percent failed")
expect_error(estSpaceUse(trips, res=5, scale=50, levelUD = 101, polyOut = TRUE)
, pattern = "levelUD")
## error when not enough points for any ID
dat2 <- dat[-c(1:3),]
trips2 <- projectTracks(dat2, projType = "azim", custom = TRUE)
expect_error(estSpaceUse(trips2, scale=50, res=5, levelUD = 50),
pattern = "No IDs")
dat3 <- dat2
dat3$ID <- rep("B")
dat3 <- rbind(dat, dat3)
trips3 <- projectTracks(dat3, projType = "azim", custom = TRUE)
expect_message(estSpaceUse(trips3, scale=50, res=5, levelUD = 50),
pattern = "too few points")
## timestamp duplicates in data
dat4 <- rbind(dat2[1, ], dat2)
trips4 <- projectTracks(dat4, projType = "azim", custom = TRUE)
expect_message(estSpaceUse(trips4, scale=50, res=5, levelUD = 50),
pattern = "duplicated data")
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