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test-geom-sf.R
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test-geom-sf.R
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test_that("geom_sf() determines the legend type automatically", {
skip_if_not_installed("sf")
if (packageVersion("sf") < "0.5.3") skip("Need sf 0.5.3")
mp <- sf::st_sf(
geometry = sf::st_sfc(sf::st_multipoint(rbind(c(1,1), c(2,2), c(3,3)))),
v = "a")
s1 <- rbind(c(0,3),c(0,4),c(1,5),c(2,5))
s2 <- rbind(c(0.2,3), c(0.2,4), c(1,4.8), c(2,4.8))
s3 <- rbind(c(0,4.4), c(0.6,5))
mls <- sf::st_sf(
geometry = sf::st_sfc(sf::st_multilinestring(list(s1,s2,s3))),
v = "a")
p1 <- rbind(c(0,0), c(1,0), c(3,2), c(2,4), c(1,4), c(0,0))
p2 <- rbind(c(1,1), c(1,2), c(2,2), c(1,1))
p3 <- rbind(c(3,0), c(4,0), c(4,1), c(3,1), c(3,0))
p4 <- rbind(c(3.3,0.3), c(3.8,0.3), c(3.8,0.8), c(3.3,0.8), c(3.3,0.3))[5:1,]
p5 <- rbind(c(3,3), c(4,2), c(4,3), c(3,3))
mpol <- sf::st_sf(
geometry = sf::st_sfc(sf::st_multipolygon(list(list(p1,p2), list(p3,p4), list(p5)))),
v = "a")
fun_geom_sf <- function(sf, show.legend) {
p <- ggplot() + geom_sf(aes(colour = v), data = sf, show.legend = show.legend)
ggplot_build(p)
}
# test the automatic choice
expect_identical(fun_geom_sf(mp, TRUE)$plot$layers[[1]]$show.legend, TRUE)
expect_identical(fun_geom_sf(mp, TRUE)$plot$layers[[1]]$computed_geom_params$legend, "point")
expect_identical(fun_geom_sf(mls, TRUE)$plot$layers[[1]]$show.legend, TRUE)
expect_identical(fun_geom_sf(mls, TRUE)$plot$layers[[1]]$computed_geom_params$legend, "line")
expect_identical(fun_geom_sf(mpol, TRUE)$plot$layers[[1]]$show.legend, TRUE)
expect_identical(fun_geom_sf(mpol, TRUE)$plot$layers[[1]]$computed_geom_params$legend, "polygon")
# test that automatic choice can be overridden manually
expect_identical(fun_geom_sf(mp, "point")$plot$layers[[1]]$show.legend, TRUE)
expect_identical(fun_geom_sf(mp, "point")$plot$layers[[1]]$computed_geom_params$legend, "point")
expect_identical(fun_geom_sf(mls, "point")$plot$layers[[1]]$show.legend, TRUE)
expect_identical(fun_geom_sf(mls, "point")$plot$layers[[1]]$computed_geom_params$legend, "point")
expect_identical(fun_geom_sf(mpol, "point")$plot$layers[[1]]$show.legend, TRUE)
expect_identical(fun_geom_sf(mpol, "point")$plot$layers[[1]]$computed_geom_params$legend, "point")
})
test_that("geom_sf() determines the legend type from mapped geometry column", {
skip_if_not_installed("sf")
if (packageVersion("sf") < "0.5.3") skip("Need sf 0.5.3")
p1 <- rbind(c(1,1), c(2,2), c(3,3))
s1 <- rbind(c(0,3), c(0,4), c(1,5), c(2,5))
s2 <- rbind(c(0.2,3), c(0.2,4), c(1,4.8), c(2,4.8))
s3 <- rbind(c(0,4.4), c(0.6,5))
d_sf <- sf::st_sf(
g_point = sf::st_sfc(sf::st_multipoint(p1)),
g_line = sf::st_sfc(sf::st_multilinestring(list(s1, s2, s3))),
v = "a"
)
p <- ggplot_build(
ggplot(d_sf) + geom_sf(aes(geometry = g_point, colour = "a"))
)
expect_identical(p$plot$layers[[1]]$computed_geom_params$legend, "point")
p <- ggplot_build(
ggplot(d_sf) + geom_sf(aes(geometry = g_line, colour = "a"))
)
expect_identical(p$plot$layers[[1]]$computed_geom_params$legend, "line")
# If `geometry` is not a symbol, `LayerSf$setup_layer()` gives up guessing
# the legend type, and falls back to "polygon"
p <- ggplot_build(
ggplot(d_sf) + geom_sf(aes(geometry = identity(g_point), colour = "a"))
)
expect_identical(p$plot$layers[[1]]$computed_geom_params$legend, "polygon")
})
test_that("geom_sf() removes rows containing missing aes", {
skip_if_not_installed("sf")
if (packageVersion("sf") < "0.5.3") skip("Need sf 0.5.3")
grob_xy_length <- function(x) {
g <- layer_grob(x)[[1]]
c(length(g$x), length(g$y))
}
pts <- sf::st_sf(
geometry = sf::st_sfc(sf::st_point(0:1), sf::st_point(1:2)),
size = c(1, NA),
shape = c("a", NA),
colour = c("red", NA)
)
p <- ggplot(pts)
expect_warning(
expect_identical(grob_xy_length(p + geom_sf(aes(size = size))), c(1L, 1L)),
"Removed 1 row containing missing values or values outside the scale range"
)
expect_warning(
expect_identical(grob_xy_length(p + geom_sf(aes(shape = shape))), c(1L, 1L)),
"Removed 1 row containing missing values or values outside the scale range"
)
# default colour scale maps a colour even to a NA, so identity scale is needed to see if NA is removed
expect_warning(
expect_identical(grob_xy_length(p + geom_sf(aes(colour = colour)) + scale_colour_identity()),
c(1L, 1L)),
"Removed 1 row containing missing values or values outside the scale range"
)
})
test_that("geom_sf() handles alpha properly", {
skip_if_not_installed("sf")
if (packageVersion("sf") < "0.5.3") skip("Need sf 0.5.3")
sfc <- sf::st_sfc(
sf::st_point(0:1),
sf::st_linestring(rbind(0:1, 1:2)),
sf::st_polygon(list(rbind(0:1, 1:2, 2:1, 0:1)))
)
red <- "#FF0000FF"
p <- ggplot(sfc) + geom_sf(colour = red, fill = red, alpha = 0.5)
g <- layer_grob(p)[[1]]
# alpha affects the colour of points and lines
expect_equal(g[[1]]$gp$col, alpha(red, 0.5))
expect_equal(g[[2]]$gp$col, alpha(red, 0.5))
# alpha doesn't affect the colour of polygons, but the fill
expect_equal(g[[3]]$gp$col, alpha(red, 1.0))
expect_equal(g[[3]]$gp$fill, alpha(red, 0.5))
})
test_that("errors are correctly triggered", {
skip_if_not_installed("sf")
pts <- sf::st_sf(
geometry = sf::st_sfc(sf::st_point(0:1), sf::st_point(1:2)),
size = c(1, NA),
shape = c("a", NA),
colour = c("red", NA)
)
p <- ggplot(pts) + geom_sf() + coord_cartesian()
expect_snapshot_error(ggplotGrob(p))
expect_snapshot_error(geom_sf_label(position = "jitter", nudge_x = 0.5))
expect_snapshot_error(geom_sf_text(position = "jitter", nudge_x = 0.5))
# #5204: missing linewidth should be dropped
pts <- sf::st_sf(
geometry = sf::st_sfc(
sf::st_linestring(matrix(c(0, 1, 0, 1), ncol = 2)),
sf::st_linestring(matrix(c(0, 1, 1, 0), ncol = 2))
),
linewidth = c(1, NA)
)
expect_snapshot_warning(sf_grob(pts, na.rm = FALSE))
})
# Visual tests ------------------------------------------------------------
test_that("geom_sf draws correctly", {
skip_if_not_installed("sf")
if (packageVersion("sf") < "0.5.3") skip("Need sf 0.5.3")
nc_tiny_coords <- matrix(
c(-81.473, -81.741, -81.67, -81.345, -81.266, -81.24, -81.473,
36.234, 36.392, 36.59, 36.573, 36.437, 36.365, 36.234),
ncol = 2
)
nc <- sf::st_as_sf(
data_frame(
NAME = "ashe",
geometry = sf::st_sfc(sf::st_polygon(list(nc_tiny_coords)), crs = 4326)
)
)
# Perform minimal tests
pts <- sf::st_sf(a = 1:2, geometry = sf::st_sfc(sf::st_point(0:1), sf::st_point(1:2)))
plot <- ggplot() + geom_sf(data = pts)
expect_error(regexp = NA, ggplot_build(plot))
expect_doppelganger("North Carolina county boundaries",
ggplot() + geom_sf(data = nc) + coord_sf(datum = 4326)
)
pts <- sf::st_sf(a = 1:2, geometry = sf::st_sfc(sf::st_point(0:1), sf::st_point(1:2)))
expect_doppelganger("spatial points",
ggplot() + geom_sf(data = pts)
)
})
test_that("geom_sf uses combinations of geometry correctly", {
skip_if_not_installed("sf")
t <- seq(0, 2 *pi, length.out = 10)
data <- sf::st_sf(sf::st_sfc(
sf::st_multipoint(cbind(1:2, 3:4)),
sf::st_multilinestring(list(
cbind(c(1, 1.8), c(3.8, 3)),
cbind(c(1.2, 2), c(4, 3.2))
)),
sf::st_polygon(list(
cbind(cos(t), zapsmall(sin(t))),
cbind(cos(t), zapsmall(sin(t))) + 5
)),
sf::st_geometrycollection(x = list(
sf::st_point(x = c(3, 2)),
sf::st_linestring(cbind(c(2, 4, 4), c(1, 1, 3)))
)),
sf::st_linestring(x = cbind(c(2, 6), c(-1, 3))),
sf::st_point(c(5, 0))
))
update_geom_defaults("point", list(colour = "blue"))
update_geom_defaults("line", list(colour = "red"))
# Note: polygon defaults are mostly ignored or overridden
withr::defer({
update_geom_defaults("point", NULL)
update_geom_defaults("line", NULL)
})
expect_doppelganger(
"mixed geometry types",
ggplot(data) + geom_sf()
)
})
test_that("geom_sf_text() and geom_sf_label() draws correctly", {
skip_if_not_installed("sf")
if (packageVersion("sf") < "0.5.3") skip("Need sf 0.5.3")
nc_tiny_coords <- matrix(
c(-81.473, -81.741, -81.67, -81.345, -81.266, -81.24, -81.473,
36.234, 36.392, 36.59, 36.573, 36.437, 36.365, 36.234),
ncol = 2
)
nc <- sf::st_as_sf(
data_frame(
NAME = "ashe",
geometry = sf::st_sfc(sf::st_polygon(list(nc_tiny_coords)), crs = 4326)
)
)
# In order to avoid warning, transform to a projected coordinate system
nc_3857 <- sf::st_transform(nc, 3857)
expect_doppelganger("Texts for North Carolina",
ggplot() + geom_sf_text(data = nc_3857, aes(label = NAME))
)
expect_doppelganger("Labels for North Carolina",
ggplot() + geom_sf_label(data = nc_3857, aes(label = NAME))
)
})
test_that("geom_sf draws arrows correctly", {
skip_if_not_installed("sf")
if (packageVersion("sf") < "0.5.3") skip("Need sf 0.5.3")
nc_tiny_coords <- data_frame(
x = c(-81.473, -81.741, -81.67, -81.345, -81.266, -81.24, -81.473),
y = c(36.234, 36.392, 36.59, 36.573, 36.437, 36.365, 36.234)
)
nc <- sf::st_linestring(
sf::st_coordinates(sf::st_as_sf(nc_tiny_coords, coords = c("x", "y"), crs = 4326))
)
nc2 <- sf::st_cast(
sf::st_sfc(
sf::st_multilinestring(lapply(
1:(length(sf::st_coordinates(nc)[, 1]) - 1),
function(x) rbind(
as.numeric(sf::st_coordinates(nc)[x, 1:2]),
as.numeric(sf::st_coordinates(nc)[x + 1, 1:2])
)
)
)
), "LINESTRING"
)
expect_doppelganger("North Carolina county boundaries with arrow",
ggplot() + geom_sf(data = nc, arrow = arrow()) + coord_sf(datum = 4326)
)
expect_doppelganger("North Carolina county boundaries with more than one arrow",
ggplot() + geom_sf(data = nc2, arrow = arrow()) + coord_sf(datum = 4326)
)
})