test_that("geodesic_direct works with single point", { result <- geodesic_direct(c(-0.1, 51.5), azi = 90, s = 1000000) expect_s3_class(result, "data.frame") expect_named(result, c("lon1", "lat1", "azi1", "s12", "lon2", "lat2", "azi2", "m12", "M12", "M21", "S12")) expect_equal(nrow(result), 1) # Check types expect_type(result$lon2, "double") expect_type(result$lat2, "double") expect_type(result$azi2, "double") # Heading east from London should increase longitude expect_true(result$lon2 > result$lon1) }) test_that("geodesic_direct is vectorized", { # Multiple starting points, same azimuth and distance pts <- cbind(c(0, 10, 20), c(0, 10, 20)) result <- geodesic_direct(pts, azi = 90, s = 100000) expect_equal(nrow(result), 3) # Single point, multiple azimuths result <- geodesic_direct(c(0, 0), azi = c(0, 90, 180, 270), s = 100000) expect_equal(nrow(result), 4) # Single point, multiple distances result <- geodesic_direct(c(0, 0), azi = 45, s = c(1000, 10000, 100000)) expect_equal(nrow(result), 3) }) test_that("geodesic_direct handles different input formats", { result1 <- geodesic_direct(c(0, 45), azi = 90, s = 100000) result2 <- geodesic_direct(cbind(0, 45), azi = 90, s = 100000) result3 <- geodesic_direct(list(lon = 0, lat = 45), azi = 90, s = 100000) expect_equal(result1$lon2, result2$lon2) expect_equal(result1$lon2, result3$lon2) }) test_that("geodesic_inverse works with two points", { result <- geodesic_inverse(c(-0.1, 51.5), c(-74, 40.7)) expect_s3_class(result, "data.frame") expect_named(result, c("lon1", "lat1", "lon2", "lat2", "s12", "azi1", "azi2", "m12", "M12", "M21", "S12")) expect_equal(nrow(result), 1) # London to New York is roughly 5500 km expect_true(result$s12 > 5000000 && result$s12 < 6000000) # Azimuth from London to NY should be roughly west (250-290 degrees) expect_true(result$azi1 > -73 && result$azi1 < -70) }) test_that("geodesic_inverse is vectorized", { x <- cbind(c(0, 10, 20), c(0, 10, 20)) y <- cbind(c(1, 11, 21), c(1, 11, 21)) result <- geodesic_inverse(x, y) expect_equal(nrow(result), 3) expect_true(all(result$s12 > 0)) }) test_that("geodesic round-trip is consistent", { # Direct then inverse should return to start start <- c(10, 45) azi <- 60 dist <- 500000 direct <- geodesic_direct(start, azi = azi, s = dist) inverse <- geodesic_inverse(start, c(direct$lon2, direct$lat2)) expect_equal(inverse$s12, dist, tolerance = 1e-6) expect_equal(inverse$azi1, azi, tolerance = 1e-6) }) test_that("geodesic_path generates correct number of points", { path <- geodesic_path(c(0, 0), c(10, 10), n = 50) expect_s3_class(path, "data.frame") expect_named(path, c("lon", "lat", "azi", "s")) expect_equal(nrow(path), 50) # First point should be start expect_equal(path$lon[1], 0, tolerance = 1e-9) expect_equal(path$lat[1], 0, tolerance = 1e-9) # Last point should be end expect_equal(path$lon[50], 10, tolerance = 1e-9) expect_equal(path$lat[50], 10, tolerance = 1e-9) # Distance should increase monotonically expect_true(all(diff(path$s) >= 0)) }) test_that("geodesic_path requires single points", { expect_error(geodesic_path(cbind(c(0, 1), c(0, 1)), c(10, 10)), "single start and end") }) test_that("geodesic_line works with multiple distances", { result <- geodesic_line(c(0, 0), azi = 45, distances = c(0, 100000, 500000, 1000000)) expect_s3_class(result, "data.frame") expect_named(result, c("lon", "lat", "azi", "s")) expect_equal(nrow(result), 4) # First point should be at origin expect_equal(result$lon[1], 0, tolerance = 1e-9) expect_equal(result$lat[1], 0, tolerance = 1e-9) expect_equal(result$s[1], 0) # Distances should match input expect_equal(result$s, c(0, 100000, 500000, 1000000)) }) test_that("geodesic_line requires single point and azimuth", { expect_error(geodesic_line(cbind(c(0, 1), c(0, 1)), azi = 45, distances = 1000), "single starting point") expect_error(geodesic_line(c(0, 0), azi = c(45, 90), distances = 1000), "single azimuth") }) test_that("geodesic_distance returns pairwise distances", { x <- cbind(c(0, 10, 20), c(0, 10, 20)) y <- cbind(c(1, 11, 21), c(1, 11, 21)) result <- geodesic_distance(x, y) expect_type(result, "double") expect_length(result, 3) expect_true(all(result > 0)) }) test_that("geodesic_distance handles recycling", { # Single point to multiple points result <- geodesic_distance(c(0, 0), cbind(c(1, 2, 3), c(1, 2, 3))) expect_length(result, 3) # Multiple points to single point result <- geodesic_distance(cbind(c(1, 2, 3), c(1, 2, 3)), c(0, 0)) expect_length(result, 3) }) test_that("geodesic_distance_matrix returns correct dimensions", { x <- cbind(c(0, 10, 20), c(0, 10, 20)) y <- cbind(c(1, 11), c(1, 11)) result <- geodesic_distance_matrix(x, y) expect_true(is.matrix(result)) expect_equal(dim(result), c(3, 2)) expect_true(all(result > 0)) }) test_that("geodesic_distance_matrix with single argument gives symmetric matrix", { x <- cbind(c(0, 10, 20), c(0, 10, 20)) result <- geodesic_distance_matrix(x) expect_equal(dim(result), c(3, 3)) # Diagonal should be zero expect_equal(diag(result), c(0, 0, 0), tolerance = 1e-9) # Should be symmetric expect_equal(result, t(result), tolerance = 1e-9) }) test_that("geodesic calculations are accurate for known values", { # Test against known geodesic: equator crossing # 1 degree of longitude at equator is approximately 111.32 km result <- geodesic_inverse(c(0, 0), c(1, 0)) expect_equal(result$s12, 111319.49, tolerance = 1) # Azimuth should be exactly 90 degrees (east) expect_equal(result$azi1, 90, tolerance = 1e-6) }) test_that("geodesic handles antipodal points", { # Points on opposite sides of Earth result <- geodesic_inverse(c(0, 0), c(180, 0)) # Should be half circumference of Earth (~20,000 km) expect_true(result$s12 > 20000000 && result$s12 < 20050000) }) test_that("geodesic handles polar routes", { # Route over North Pole result <- geodesic_inverse(c(0, 80), c(180, 80)) # Should be valid expect_true(is.finite(result$s12)) expect_true(result$s12 > 0) # Azimuth from 0 longitude going to 180 over pole should be ~0 (north) expect_true(abs(result$azi1) < 1 || abs(result$azi1 - 360) < 1) }) test_that("geodesic path points lie on geodesic", { path <- geodesic_path(c(0, 0), c(45, 45), n = 10) # Each segment should have consistent azimuth (approximately) for (i in 2:9) { inv <- geodesic_inverse(c(path$lon[i], path$lat[i]), c(path$lon[i + 1], path$lat[i + 1])) # Forward azimuth should be close to the azimuth at that point expect_equal(inv$azi1, path$azi[i], tolerance = 0.1) } })