test_that("View", { v <- sits_view(cerrado_2classes) expect_true("leaflet" %in% class(v)) expect_error( sits_view(cerrado_2classes, legend = c("Cerrado" = "green")) ) expect_error( .view_set_max_mb(1024) ) # create a data cube data_dir <- system.file("extdata/raster/mod13q1", package = "sits") modis_cube <- sits_cube( source = "BDC", collection = "MOD13Q1-6", data_dir = data_dir, progress = FALSE ) timeline <- sits_timeline(modis_cube) # view the data cube v2 <- sits_view(modis_cube, band = "NDVI", dates = timeline[[1]], palette = "RdYlGn" ) expect_true("leaflet" %in% class(v2)) expect_true(grepl("EPSG3857", v2$x$options$crs$crsClass)) expect_equal(v2$x$calls[[6]]$args[[2]], "012010 2013-09-14") # view the data cube RGB vrgb <- sits_view(modis_cube, red = "NDVI", green = "NDVI", blue = "NDVI" ) expect_true("leaflet" %in% class(vrgb)) expect_true(grepl("EPSG3857", vrgb$x$options$crs$crsClass)) expect_equal(vrgb$x$calls[[6]]$args[[2]], "012010 2013-09-14") # create a probs cube rf_model <- sits_train(samples_modis_ndvi, sits_rfor()) modis_probs <- sits_classify( data = modis_cube, ml_model = rf_model, output_dir = tempdir(), memsize = 4, multicores = 1, progress = FALSE, version = "v_2" ) v2_probs <- sits_view(modis_probs) expect_true("leaflet" %in% class(v2_probs)) expect_true(grepl("EPSG3857", v2_probs$x$options$crs$crsClass)) expect_equal(v2_probs$x$calls[[6]]$args[[6]], "probs Forest") # create a class cube modis_label <- sits_label_classification(modis_probs, output_dir = tempdir(), progress = FALSE, version = "v2" ) v3 <- sits_view(modis_label) expect_true(grepl("EPSG3857", v3$x$options$crs$crsClass)) expect_true( all(v3$x$calls[[6]]$args[[1]]$labels %in% c( "Cerrado", "Pasture", "Forest", "Soy_Corn" )) ) v3_probs <- sits_view(modis_probs, class_cube = modis_label) expect_true(grepl("EPSG3857", v3_probs$x$options$crs$crsClass)) expect_equal(v3_probs$x$calls[[6]]$args[[6]], "probs Forest") # view false color data cube and class cube together v4 <- sits_view(modis_cube, band = "NDVI", class_cube = modis_label, dates = timeline[[1]] ) expect_true(grepl("EPSG3857", v4$x$options$crs$crsClass)) expect_equal(v4$x$calls[[1]]$method, "addProviderTiles") # view RGB data cube and class cube together v4rgb <- sits_view(modis_cube, red = "NDVI", green = "NDVI", blue = "NDVI", dates = timeline[[1]], class_cube = modis_label ) expect_true(grepl("EPSG3857", v4rgb$x$options$crs$crsClass)) expect_equal(v4rgb$x$calls[[1]]$method, "addProviderTiles") # create uncert cube modis_uncert <- sits_uncertainty( cube = modis_probs, output_dir = tempdir(), memsize = 4, multicores = 1 ) v5 <- sits_view(modis_uncert) expect_true(grepl("EPSG3857", v5$x$options$crs$crsClass)) expect_equal(v5$x$calls[[1]]$method, "addProviderTiles") expect_equal(v5$x$calls[[6]]$args[[2]], "012010 entropy") # view uncert cube and class cube v6 <- sits_view(modis_uncert, class_cube = modis_label) expect_true(grepl("EPSG3857", v6$x$options$crs$crsClass)) expect_equal(v6$x$calls[[1]]$method, "addProviderTiles") expect_equal(v6$x$calls[[1]]$args[[1]], "GeoportailFrance.orthos") expect_equal(v6$x$calls[[5]]$args[[5]], "012010 entropy") expect_equal(v6$x$calls[[6]]$args[[5]], "classification") # segmentation # segment the image segments <- sits_segment( cube = modis_cube, seg_fn = sits_slic(step = 5, compactness = 1, dist_fun = "euclidean", avg_fun = "median", iter = 50, minarea = 10, verbose = FALSE ), output_dir = tempdir() ) v7 <- sits_view(segments) expect_true(grepl("EPSG3857", v7$x$options$crs$crsClass)) expect_equal(v7$x$calls[[1]]$method, "addProviderTiles") expect_equal(v7$x$calls[[1]]$args[[1]], "GeoportailFrance.orthos") expect_equal(v7$x$calls[[5]]$method, "addPolygons") v8 <- sits_view(segments, band = "NDVI") expect_true(grepl("EPSG3857", v8$x$options$crs$crsClass)) expect_equal(v8$x$calls[[1]]$method, "addProviderTiles") expect_equal(v8$x$calls[[1]]$args[[1]], "GeoportailFrance.orthos") expect_equal(v8$x$calls[[5]]$method, "addRasterImage") expect_equal(v8$x$calls[[6]]$method, "addPolygons") probs_segs <- sits_classify( data = segments, ml_model = rf_model, output_dir = tempdir(), aggreg_fn = NULL, version = "vsegs_test", n_sam_pol = 20, multicores = 4 ) # Create a classified vector cube class_segs <- sits_label_classification( cube = probs_segs, output_dir = tempdir(), multicores = 2, memsize = 4, version = "v_segs_test" ) v9 <- sits_view(class_segs, class_cube = modis_label) expect_true(grepl("EPSG3857", v9$x$options$crs$crsClass)) expect_equal(v9$x$calls[[1]]$method, "addProviderTiles") expect_equal(v9$x$calls[[1]]$args[[1]], "GeoportailFrance.orthos") expect_equal(v9$x$calls[[5]]$method, "addPolygons") expect_equal(v9$x$calls[[6]]$method, "addPolygons") expect_equal(v9$x$calls[[7]]$method, "addRasterImage") cbers_cube <- tryCatch( { sits_cube( source = "BDC", collection = "CBERS-WFI-16D", bands = c("B13", "B15", "B16"), tiles = c("007004", "007005"), start_date = "2018-09-01", end_date = "2018-09-28", progress = FALSE ) }, error = function(e) { return(NULL) } ) testthat::skip_if(purrr::is_null(cbers_cube), message = "BDC is not accessible" ) v_cb <- sits_view(cbers_cube, tiles = c("007004", "007005"), red = "B15", green = "B16", blue = "B13", dates = "2018-08-29") expect_equal(v_cb$x$options$crs$crsClass, "L.CRS.EPSG3857") expect_equal(v_cb$x$calls[[1]]$args[[1]], "GeoportailFrance.orthos") expect_equal(v_cb$x$calls[[5]]$method, "addRasterImage") expect_equal(v_cb$x$calls[[6]]$args[[5]], "007005 2018-08-29") expect_true(all(file.remove(unlist(modis_uncert$file_info[[1]]$path)))) expect_true(all(file.remove(unlist(modis_probs$file_info[[1]]$path)))) expect_true(all(file.remove(unlist(modis_label$file_info[[1]]$path)))) }) test_that("View SOM map", { set.seed(2903) som_map <- sits_som_map( samples_modis_ndvi, grid_xdim = 4, grid_ydim = 4 ) v <- sits_view(som_map, id_neurons = c(1:5)) expect_true(grepl("EPSG3857", v$x$options$crs$crsClass)) expect_equal(v$x$calls[[1]]$method, "addProviderTiles") })