test_that("geom_spatraster one layer with CRS", {
suppressWarnings(library(ggplot2))
suppressWarnings(library(terra))
# Import also vector
f <- system.file("extdata/cyl_elev.tif", package = "tidyterra")
r <- rast(f)
f_v <- system.file("extdata/cyl.gpkg", package = "tidyterra")
v <- vect(f_v)
v_sf <- sf::st_as_sf(v)
# Errors
expect_error(
ggplot(r) +
geom_spatraster()
)
expect_snapshot(
ggplot() +
geom_spatraster(data = v),
error = TRUE
)
expect_snapshot(
ggplot() +
geom_spatraster(data = 1:3),
error = TRUE
)
s <- ggplot() +
geom_spatraster(data = r) +
coord_cartesian()
expect_warning(ggplot_build(s), regexp = "must be used with")
# test with vdiffr
skip_on_cran()
skip_if_not_installed("vdiffr")
# Regular plot
p <- ggplot() +
geom_spatraster(data = r)
vdiffr::expect_doppelganger("crs_01: regular", p)
# Scales
vdiffr::expect_doppelganger(
"crs_02: w/scale cont",
p +
scale_fill_terrain_c()
)
vdiffr::expect_doppelganger(
"crs_03: w/scale breaks",
p +
scale_fill_terrain_b()
)
# Using facets
vdiffr::expect_doppelganger(
"crs_04: w/facets",
p +
facet_wrap(~lyr)
)
# Using aes
expect_warning(ggplot() +
geom_spatraster(data = r, aes(
fill = elevation_m,
color = "red"
)))
p_aes <- ggplot() +
geom_spatraster(data = r, aes(fill = elevation_m))
vdiffr::expect_doppelganger("crs_05: w/aes", p_aes)
# Using a categorical
t <- as_tibble(r)
labs <- paste0("c_", cut_number(t$elevation_m, 9, labels = FALSE))
r_cat <- r %>%
dplyr::mutate(elevation_m = labs) %>%
dplyr::select(cats = elevation_m)
p_cats <- ggplot() +
geom_spatraster(data = r_cat) +
scale_fill_terrain_d()
vdiffr::expect_doppelganger("crs_06: categ w/scale disc", p_cats)
# Resampling
expect_snapshot(
p_res <- ggplot() +
geom_spatraster(data = r, maxcell = 20)
)
vdiffr::expect_doppelganger("crs_07: resampled", p_res)
# Resampling and interpolating
expect_snapshot(
p_res_int <- ggplot() +
geom_spatraster(data = r, maxcell = 20, interpolate = TRUE)
)
vdiffr::expect_doppelganger("crs_08: resampled interpolated", p_res_int)
# With crs
p_rast_first <- ggplot() +
geom_spatraster(data = r)
vdiffr::expect_doppelganger(
"crs_09: change crs",
p_rast_first +
coord_sf(crs = 3035)
)
# With vector after
vdiffr::expect_doppelganger(
"crs_10: With sf",
p_rast_first +
geom_sf(data = v_sf, fill = NA, color = "white")
)
# With vector and crs after
vdiffr::expect_doppelganger(
"crs_11: With crs and sf",
p_rast_first +
geom_sf(data = v_sf, fill = NA, color = "white") +
coord_sf(crs = "ESRI:102003")
)
# With vector first
p_sf_first <- ggplot(v_sf) +
geom_sf(fill = "red") +
geom_spatraster(data = r, alpha = 0.6)
vdiffr::expect_doppelganger("crs_12: With sf first", p_sf_first)
# With vector first and change proj
vdiffr::expect_doppelganger(
"crs_13: With sf first and crs",
p_sf_first +
coord_sf(crs = 3857)
)
# Suppress colors
r2 <- r / 100
nocols <- ggplot() +
geom_spatraster(data = r2, fill = "yellow")
vdiffr::expect_doppelganger("crs_14: suppress colors", nocols)
vdiffr::expect_doppelganger(
"crs_14: suppress colors and overlay",
nocols +
geom_spatraster(data = r, alpha = 0.8)
)
# Stat works
st1 <- ggplot() +
geom_spatraster(data = r, aes(fill = after_stat(lyr)))
vdiffr::expect_doppelganger(
"crs_15: stat works",
st1
)
# Check wrap
asia <- rast(system.file("extdata/asia.tif", package = "tidyterra"))
asia <- project(asia, "EPSG:4326")
ext(asia) <- c(-180, 180, -90, 90)
# With false
p <- ggplot() +
geom_spatraster(data = asia, mask_projection = FALSE) +
coord_sf(crs = "+proj=eqearth")
vdiffr::expect_doppelganger(
"crs_16: Wrap",
p
)
# With true
p <- ggplot() +
geom_spatraster(data = asia, mask_projection = TRUE) +
coord_sf(crs = "+proj=eqearth")
vdiffr::expect_doppelganger(
"crs_17: No Wrap",
p
)
})
test_that("geom_spatraster one layer without CRS", {
suppressWarnings(library(ggplot2))
suppressWarnings(library(terra))
# Import also vector
f <- system.file("extdata/cyl_elev.tif", package = "tidyterra")
r <- rast(f)
f_v <- system.file("extdata/cyl.gpkg", package = "tidyterra")
v <- vect(f_v)
v_sf <- sf::st_as_sf(v)
raster_crs <- pull_crs(r)
terra::crs(r) <- NA
# Errors
expect_error(
ggplot(r) +
geom_spatraster()
)
# Can use other scales
s <- ggplot() +
geom_spatraster(data = r) +
coord_cartesian()
expect_silent(ggplot_build(s))
# test with vdiffr
skip_on_cran()
skip_if_not_installed("vdiffr")
# Regular plot
p <- ggplot() +
geom_spatraster(data = r)
vdiffr::expect_doppelganger("nocrs_01a: regular", p)
vdiffr::expect_doppelganger(
"nocrs_01b: regular with coord_equal",
p +
coord_equal()
)
# Scales
vdiffr::expect_doppelganger(
"nocrs_02: w/scale cont",
p +
scale_fill_terrain_c()
)
vdiffr::expect_doppelganger(
"nocrs_03: w/scale breaks",
p +
scale_fill_terrain_b()
)
# Using facets
vdiffr::expect_doppelganger(
"nocrs_04: w/facets",
p +
facet_wrap(~lyr)
)
# Using aes
expect_warning(
ggplot() +
geom_spatraster(data = r, aes(
fill = elevation_m,
color = "red"
))
)
p_aes <- ggplot() +
geom_spatraster(data = r, aes(fill = elevation_m))
vdiffr::expect_doppelganger("nocrs_05: w/aes", p_aes)
# Using a categorical
t <- as_tibble(r)
labs <- paste0("c_", cut_number(t$elevation_m, 9, labels = FALSE))
r_cat <- r %>%
dplyr::mutate(elevation_m = labs) %>%
dplyr::select(cats = elevation_m)
p_cats <- ggplot() +
geom_spatraster(data = r_cat) +
scale_fill_terrain_d()
vdiffr::expect_doppelganger("nocrs_06: categ w/scale disc", p_cats)
# Resampling
expect_snapshot(
p_res <- ggplot() +
geom_spatraster(data = r, maxcell = 20)
)
vdiffr::expect_doppelganger("nocrs_07: resampled", p_res)
# Resampling and interpolating
expect_snapshot(
p_res_int <- ggplot() +
geom_spatraster(data = r, maxcell = 20, interpolate = TRUE)
)
vdiffr::expect_doppelganger("nocrs_08: resampled interpolated", p_res_int)
# With crs
p_rast_first <- ggplot() +
geom_spatraster(data = r)
vdiffr::expect_doppelganger(
"nocrs_09: change crs",
p_rast_first +
coord_sf(crs = raster_crs)
)
# With vector
vdiffr::expect_doppelganger(
"nocrs_10: With sf",
p_rast_first +
geom_sf(data = v_sf, fill = NA, color = "red")
)
# Would align only if sf/coord on the same crs
vdiffr::expect_doppelganger(
"nocrs_11: With crs and sf",
p_rast_first +
geom_sf(data = v_sf, fill = NA, color = "red") +
coord_sf(crs = raster_crs)
)
# Reproject vector
new_v <- sf::st_transform(v_sf, raster_crs)
vdiffr::expect_doppelganger(
"nocrs_12: With sf reprojected",
p_rast_first +
geom_sf(data = new_v, fill = NA)
)
# Suppress colors
r2 <- r / 100
nocols <- ggplot() +
geom_spatraster(data = r2, fill = "yellow")
vdiffr::expect_doppelganger("nocrs_14: suppress colors", nocols)
vdiffr::expect_doppelganger(
"nocrs_14: suppress colors and overlay",
nocols +
geom_spatraster(data = r, alpha = 0.8)
)
# Stat works
st1 <- ggplot() +
geom_spatraster(data = r, aes(fill = after_stat(lyr)))
vdiffr::expect_doppelganger(
"nocrs_15: stat works",
st1
)
})
test_that("geom_spatraster one facets", {
suppressWarnings(library(ggplot2))
suppressWarnings(library(terra))
# Import also vector
f <- system.file("extdata/cyl_elev.tif", package = "tidyterra")
r <- rast(f)
f_v <- system.file("extdata/cyl.gpkg", package = "tidyterra")
v <- vect(f_v)
v <- terra::project(v, "epsg:3035")
v_sf <- sf::st_as_sf(v)[1:3, ]
# test with vdiffr
skip_on_covr()
skip_on_cran()
skip_if_not_installed("vdiffr")
# Facet plot
p <- ggplot() +
geom_spatraster(data = r) +
geom_sf(data = v_sf) +
facet_wrap(~iso2)
vdiffr::expect_doppelganger("crsfacet_01: regular", p)
# With color
p <- ggplot() +
geom_spatraster(data = r) +
geom_sf(data = v_sf, aes(color = cpro), fill = NA) +
facet_wrap(~iso2)
vdiffr::expect_doppelganger("crsfacet_02: color", p)
# Change crs
p <- p +
coord_sf(crs = 3035) +
scale_fill_terrain_c()
vdiffr::expect_doppelganger("crsfacet_03: change crs", p)
})
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