test_that("plot_raster works", { # grayscale elev_file <- system.file("extdata/storml_elev_orig.tif", package="gdalraster") ds <- new(GDALRaster, elev_file) expect_silent(plot_raster(ds, legend = TRUE)) # giving a color palette for col_map_fn (implied ramp function) pal <- c("#00A60E", "#63C600", "#E6E600", "#E9BD3B", "#ECB176", "#EFC2B3", "#F2F2F2") expect_silent(plot_raster(ds, col_map_fn = pal, legend = TRUE)) ds$close() # rgb b4_file <- system.file("extdata/sr_b4_20200829.tif", package="gdalraster") b5_file <- system.file("extdata/sr_b5_20200829.tif", package="gdalraster") b6_file <- system.file("extdata/sr_b6_20200829.tif", package="gdalraster") band_files <- c(b6_file, b5_file, b4_file) ds <- new(GDALRaster, b5_file) dm <- ds$dim() ds$close() r <- vector("integer") for (f in band_files) { ds <- new(GDALRaster, f) r <- c(r, read_ds(ds)) ds$close() } expect_silent(plot_raster(r, xsize = dm[1], ysize = dm[2], nbands = 3, minmax_def = c(7551,7679,7585,14842,24997,12451))) expect_silent(plot_raster(r, xsize = dm[1], ysize = dm[2], nbands = 3, minmax_pct_cut = c(2,98))) # color table evc_file <- system.file("extdata/storml_evc.tif", package="gdalraster") evc_vat <- system.file("extdata/LF20_EVC_220.csv", package="gdalraster") vat <- read.csv(evc_vat) vat <- vat[, c(1,6:8)] ds <- new(GDALRaster, evc_file) # dm <- ds$dim() r <- read_ds(ds) ds$close() expect_silent(plot_raster(r, col_tbl = vat, interpolate = FALSE)) # as_list ds$open(TRUE) r <- read_ds(ds, as_list = TRUE) ds$close() expect_silent(plot_raster(r, col_tbl = vat, interpolate = FALSE)) # built-in color table tcc_file <- system.file("extdata/storml_tcc.tif", package="gdalraster") ds <- new(GDALRaster, tcc_file) expect_silent(plot_raster(ds, legend = TRUE)) ds$close() # complex data type f <- system.file("extdata/complex.tif", package="gdalraster") ds <- new(GDALRaster, f) expect_error(plot_raster(ds)) # with pixel function expect_silent(plot_raster(ds, pixel_fn = Arg, interpolate = FALSE)) ds$close() }) test_that("plot_geom works", { set.seed(1) x <- sample.int(100, 10) y <- sample.int(100, 10) g <- g_create("MULTIPOINT", cbind(x, y)) expect_identical(plot_geom(g), g) })