# basic tests for ebv_trend ---- test_that("test ebv_trend mean", { file <- system.file(file.path("extdata","martins_comcom_subset.nc"), package="ebvcube") data <- ebv_trend(file, 'metric_1/ebv_cube', 1, 'mean', verbose=FALSE) result <- c(0.1942107659, 0.4044708142, 0.6872220579, 1.1244213666, 1.9991231704, 2.7869646729, 3.0676681087, 3.2548067363, 3.5242074793, 3.7865669360, 3.9818150659, 4.1326983586) expect_equal(data, result) }) test_that("test ebv_trend mean shp", { file <- system.file(file.path("extdata","martins_comcom_subset.nc"), package="ebvcube") shp <- system.file(file.path('extdata','cameroon.shp'), package="ebvcube") data <- ebv_trend(file, 'metric_1/ebv_cube', 1, 'mean', subset=shp, verbose=FALSE) result <- c(0.09400171525, 0.21479445399, 0.39628551204, 0.72306281071, 1.53970290600, 1.38165782585, 1.48357049249, 1.65766914770, 1.70345697817, 1.64006227166, 1.36429025353, 1.43566100246) expect_equal(data, result) }) test_that("test ebv_trend min", { file <- system.file(file.path("extdata","martins_comcom_subset.nc"), package="ebvcube") data <- ebv_trend(file, 'metric_1/ebv_cube', 1, 'min', verbose=FALSE) result <- c(-0.1370557100, -0.1924628168, -0.1929529756, -0.2531685531, -0.3318841159, -1.4445482492, -2.0090060234, -2.6203408241, -2.9994468689, -3.0023336411, -7.9151682854, -6.7608814240) expect_equal(data, result) }) test_that("test ebv_trend max", { file <- system.file(file.path("extdata","martins_comcom_subset.nc"), package="ebvcube") data <- ebv_trend(file, 'metric_1/ebv_cube', 'forest bird species', 'max', verbose=FALSE) result <- c(1.921286941, 3.377684593, 5.048823833, 7.500643253, 15.945466995, 19.009712219, 19.526184082, 19.517824173, 19.440151215, 19.550523758, 19.569660187, 19.569736481) expect_equal(data, result) }) test_that("test ebv_trend boxplot", { file <- system.file(file.path("extdata","martins_comcom_subset.nc"), package="ebvcube") data <- ebv_trend(file, 'metric_1/ebv_cube', 'forest bird species', 'boxplot', verbose=FALSE) result <- c(1.921286941, 3.377684593, 5.048823833, 7.500643253, 15.945466995, 19.009712219, 19.526184082, 19.517824173, 19.440151215, 19.550523758, 19.569660187, 19.569736481) expect_s3_class(data, 'gg') }) test_that("test ebv_trend metric", { file <- system.file(file.path("extdata","martins_comcom_subset.nc"), package="ebvcube") data <- ebv_trend(file, entity= 'forest bird species', method='mean', metric = 2, verbose=FALSE) result <- c(0.6140730526, 1.2972443999, 2.2045309696, 3.6016083142, 6.4691829863, 8.8957375043, 9.7711291175, 10.3299345397, 10.9822654002, 11.5685089538, 11.9421034293, 12.3869482054) expect_equal(data, result) }) # basic tests for ebv_map ---- test_that("test ebv_map 1", { file <- system.file(file.path("extdata","martins_comcom_subset.nc"), package="ebvcube") ebv_map(file, 'metric_1/ebv_cube', 1, 3, classes=5) p <- ggplot2::last_plot() expect_true(ggplot2::is.ggplot(p)) expect_error(print(p), NA) expect_identical(p$labels$y, "longitude") expect_identical(p$labels$title, "Local bird diversity (cSAR/BES-SIM)") expect_identical(p$labels$subtitle, "Relative change in the number of species (%) - forest bird species (1920-01-01)") expect_identical(p$scales$scales[[1]]$labels, c(-0.1930, 0.0413, 0.2370, 0.5950, 1.0500, 5.0500)) # expect_identical(p$scales$scales[[1]]$guide$title, "Percentage\npoints") }) test_that("test ebv_map 2", { file <- system.file(file.path("extdata","martins_comcom_subset.nc"), package="ebvcube") ebv_map(filepath = file, entity = 'all bird species', timestep = "1950-01-01", metric = 'Relative change in the number of species (%)', classes = 7, verbose = FALSE) p <- ggplot2::last_plot() expect_true(ggplot2::is.ggplot(p)) expect_error(print(p), NA) expect_identical(p$labels$y, "longitude") expect_identical(p$labels$title, "Local bird diversity (cSAR/BES-SIM)") expect_identical(p$labels$subtitle, "Relative change in the number of species (%) - all bird species (1950-01-01)") expect_identical(p$scales$scales[[1]]$labels, c(-1.69, 0.358, 0.788, 2.05, 3.11, 4.05, 5.91, 19.4)) # expect_identical(p$scales$scales[[1]]$guide$title, "Percentage\npoints") })