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$y)) } pts <- sf::st_sf( geometry = sf::st_sfc(sf::st_point(0:1), sf::st_point(1:2)), size = c(1, NA), shape = c("a", NA), colour = c("red", NA) ) p <- ggplot(pts) expect_warning( expect_identical(grob_xy_length(p + geom_sf(aes(size = size))), c(1L, 1L)), "Removed 1 row containing missing values" ) expect_warning( expect_identical(grob_xy_length(p + geom_sf(aes(shape = shape))), c(1L, 1L)), "Removed 1 row containing missing values" ) # default colour scale maps a colour even to a NA, so identity scale is needed to see if NA is removed expect_warning( expect_identical(grob_xy_length(p + geom_sf(aes(colour = colour)) + scale_colour_identity()), c(1L, 1L)), "Removed 1 row containing missing values" ) }) test_that("geom_sf() handles alpha properly", { skip_if_not_installed("sf") if (packageVersion("sf") < "0.5.3") skip("Need sf 0.5.3") sfc <- sf::st_sfc( sf::st_point(0:1), sf::st_linestring(rbind(0:1, 1:2)), sf::st_polygon(list(rbind(0:1, 1:2, 2:1, 0:1))) ) red <- "#FF0000FF" p <- ggplot(sfc) + geom_sf(colour = red, fill = red, alpha = 0.5) g <- layer_grob(p)[[1]] # alpha affects the colour of points and lines expect_equal(g[[1]]$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)) }) # 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_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) ) })