test_that("rhumb_direct works with single point", { result <- rhumb_direct(c(-0.1, 51.5), azi = 90, s = 1000000) expect_s3_class(result, "data.frame") expect_named(result, c("lon1", "lat1", "azi12", "s12", "lon2", "lat2", "S12")) expect_equal(nrow(result), 1) # Check types expect_type(result$lon2, "double") expect_type(result$lat2, "double") expect_type(result$S12, "double") # Heading east from London should increase longitude expect_true(result$lon2 > result$lon1) # Latitude should be constant on east-west rhumb line expect_equal(result$lat2, result$lat1, tolerance = 1e-9) }) test_that("rhumb_direct is vectorized", { # Multiple starting points, same azimuth and distance pts <- cbind(c(0, 10, 20), c(0, 10, 20)) result <- rhumb_direct(pts, azi = 90, s = 100000) expect_equal(nrow(result), 3) # Single point, multiple azimuths result <- rhumb_direct(c(0, 0), azi = c(0, 90, 180, -90), s = 100000) expect_equal(nrow(result), 4) # Single point, multiple distances result <- rhumb_direct(c(0, 0), azi = 45, s = c(1000, 10000, 100000)) expect_equal(nrow(result), 3) }) test_that("rhumb_direct handles different input formats", { result1 <- rhumb_direct(c(0, 45), azi = 90, s = 100000) result2 <- rhumb_direct(cbind(0, 45), azi = 90, s = 100000) result3 <- rhumb_direct(list(lon = 0, lat = 45), azi = 90, s = 100000) expect_equal(result1$lon2, result2$lon2) expect_equal(result1$lon2, result3$lon2) }) test_that("rhumb_inverse works with two points", { result <- rhumb_inverse(c(-0.1, 51.5), c(-74, 40.7)) expect_s3_class(result, "data.frame") expect_named(result, c("lon1", "lat1", "lon2", "lat2", "s12", "azi12", "S12")) expect_equal(nrow(result), 1) # Rhumb distance from London to New York should be longer than geodesic # Geodesic is about 5570 km, rhumb should be longer expect_true(result$s12 > 5500000) # Azimuth should be roughly west-southwest expect_true(result$azi12 < 0) # Negative = westward }) test_that("rhumb_inverse is vectorized", { x <- cbind(c(0, 10, 20), c(0, 10, 20)) y <- cbind(c(1, 11, 21), c(1, 11, 21)) result <- rhumb_inverse(x, y) expect_equal(nrow(result), 3) expect_true(all(result$s12 > 0)) }) test_that("rhumb is longer than geodesic", { # This is a key property of rhumb lines london <- c(-0.1, 51.5) new_york <- c(-74, 40.7) rhumb_dist <- rhumb_inverse(london, new_york)$s12 geodesic_dist <- geodesic_inverse(london, new_york)$s12 expect_true(rhumb_dist > geodesic_dist) }) test_that("rhumb round-trip is consistent", { # Direct then inverse should return to start start <- c(10, 45) azi <- 60 dist <- 500000 direct <- rhumb_direct(start, azi = azi, s = dist) inverse <- rhumb_inverse(start, c(direct$lon2, direct$lat2)) expect_equal(inverse$s12, dist, tolerance = 1e-6) expect_equal(inverse$azi12, azi, tolerance = 1e-6) }) test_that("rhumb_path generates correct number of points", { path <- rhumb_path(c(0, 0), c(10, 10), n = 50) expect_s3_class(path, "data.frame") expect_true("lon" %in% names(path)) expect_true("lat" %in% names(path)) expect_true("s" %in% names(path)) 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$s) >= 0)) }) test_that("rhumb_path requires single points", { expect_error(rhumb_path(cbind(c(0, 1), c(0, 1)), c(10, 10)), "single start and end") }) test_that("rhumb_line works with multiple distances", { result <- rhumb_line(c(0, 0), azi = 45, distances = c(0, 100000, 500000, 1000000)) expect_s3_class(result, "data.frame") expect_true("lon" %in% names(result)) expect_true("lat" %in% names(result)) expect_true("s" %in% names(result)) expect_equal(nrow(result), 4) # First point should be at origin expect_equal(result$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$s, c(0, 100000, 500000, 1000000)) }) test_that("rhumb_line requires single point and azimuth", { expect_error(rhumb_line(cbind(c(0, 1), c(0, 1)), azi = 45, distances = 1000), "single starting point") expect_error(rhumb_line(c(0, 0), azi = c(45, 90), distances = 1000), "single azimuth") }) test_that("rhumb_distance returns pairwise distances", { x <- cbind(c(0, 10, 20), c(0, 10, 20)) y <- cbind(c(1, 11, 21), c(1, 11, 21)) result <- rhumb_distance(x, y) expect_type(result, "double") expect_length(result, 3) expect_true(all(result > 0)) }) test_that("rhumb_distance handles recycling", { # Single point to multiple points result <- rhumb_distance(c(0, 0), cbind(c(1, 2, 3), c(1, 2, 3))) expect_length(result, 3) # Multiple points to single point result <- rhumb_distance(cbind(c(1, 2, 3), c(1, 2, 3)), c(0, 0)) expect_length(result, 3) }) test_that("rhumb_distance_matrix returns correct dimensions", { x <- cbind(c(0, 10, 20), c(0, 10, 20)) y <- cbind(c(1, 11), c(1, 11)) result <- rhumb_distance_matrix(x, y) expect_true(is.matrix(result)) expect_equal(dim(result), c(3, 2)) expect_true(all(result > 0)) }) test_that("rhumb_distance_matrix with single argument gives symmetric matrix", { x <- cbind(c(0, 10, 20), c(0, 10, 20)) result <- rhumb_distance_matrix(x) expect_equal(dim(result), c(3, 3)) # Diagonal should be zero expect_equal(diag(result), c(0, 0, 0), tolerance = 1e-9) # Should be symmetric expect_equal(result, t(result), tolerance = 1e-9) }) test_that("rhumb east-west maintains constant latitude", { # Key property: east-west rhumb lines stay at constant latitude result <- rhumb_direct(c(0, 45), azi = 90, s = 1000000) expect_equal(result$lat2, 45, tolerance = 1e-9) result <- rhumb_direct(c(0, 45), azi = -90, s = 1000000) expect_equal(result$lat2, 45, tolerance = 1e-9) }) test_that("rhumb north-south maintains constant longitude", { # Key property: north-south rhumb lines stay at constant longitude result <- rhumb_direct(c(10, 0), azi = 0, s = 1000000) expect_equal(result$lon2, 10, tolerance = 1e-9) result <- rhumb_direct(c(10, 0), azi = 180, s = 1000000) expect_equal(result$lon2, 10, tolerance = 1e-9) }) test_that("rhumb calculations are accurate for known values", { # 1 degree of longitude at equator going east result <- rhumb_inverse(c(0, 0), c(1, 0)) expect_equal(result$s12, 111319.49, tolerance = 1) # Azimuth should be exactly 90 degrees (east) expect_equal(result$azi12, 90, tolerance = 1e-6) }) test_that("rhumb handles near-polar latitudes", { # High latitude points result <- rhumb_inverse(c(0, 85), c(45, 85)) # Should be valid expect_true(is.finite(result$s12)) expect_true(result$s12 > 0) }) test_that("rhumb azimuth range is -180 to 180", { # Test various directions result <- rhumb_direct(c(0, 0), azi = c(0, 90, 180, -90, -180), s = 100000) # All azimuths should be in valid range expect_true(all(result$azi12 >= -180 & result$azi12 <= 180)) })