test_that("index to waterbodies", { if(!require(nhdplusTools)) skip("Missing nhdplusTools") source(system.file("extdata/sample_data.R", package = "nhdplusTools")) wb <- sf::read_sf(sample_data, "NHDWaterbody") gage <- sf::read_sf(sample_data, "Gage") fline <- sf::read_sf(sample_data, "NHDFlowline_Network") gage_l <- sf::st_drop_geometry(gage) |> dplyr::filter(!is.na(LonSite)) |> sf::st_as_sf(coords = c("LonSite", "LatSite"), crs = 4326) gage_l <- dplyr::select(gage_l, hy_locid = SOURCE_FEA) expect_warning(match <- index_points_to_waterbodies(wb, gage_l), "st_transform points to match waterbodies") expect_equal(match[18,]$near_wb_COMID, match[18,]$in_wb_COMID) expect_equal(match[13,]$near_wb_COMID, 13293262) gage_l <- sf::st_transform(gage_l, 5070) wb_l <- sf::st_transform(dplyr::select(wb, COMID), 5070) match <- index_points_to_waterbodies(wb_l, gage_l, search_radius = units::set_units(50, "m")) expect_true(is.na(match[13,]$near_wb_COMID)) expect_true(is.na(match[13,]$near_wb_dist)) match <- index_points_to_waterbodies(wb_l, gage_l, search_radius = units::set_units(200, "m")) expect_equal(match[13,]$near_wb_dist, 164, tolerance = 1) match <- index_points_to_waterbodies(wb_l, gage_l, flines = fline, search_radius = units::set_units(200, "m")) gage_l <- cbind(gage_l, match) # waterbody without flowline expect_true(is.na(match[18,]$outlet_fline_COMID)) # point near waterbody expect_equal(match[7,]$outlet_fline_COMID, 13294312) }) sr <- units::set_units(0.1, "degrees") if(require(nhdplusTools)) { source(system.file("extdata", "sample_flines.R", package = "nhdplusTools")) sample_flines <- sf::st_cast(sample_flines, "LINESTRING", warn = FALSE) } test_that("point indexing to nearest existing node works as expected", { if(!require(nhdplusTools)) skip("Missing nhdplusTools") flines_in <- sample_flines flines_in <- sf::st_transform(flines_in, 4269) point <- sf::st_sfc(sf::st_point(c(-76.86876, 39.49345)), crs = 4269) expect_equal(index_points_to_lines(flines_in, point), data.frame(point_id = 1, COMID = 11688298, REACHCODE = "02060003000579", REACHCODE_measure = 34.6, offset = 0.000348), tolerance = 0.01) expect_equal(index_points_to_lines(flines_in, point)$REACHCODE, index_points_to_lines(sf::st_transform(flines_in, 5070), sf::st_transform(point, 5070))$REACHCODE) expect_equal(index_points_to_lines(sf::st_transform(flines_in, 5070), sf::st_transform(point, 5070)), data.frame(point_id = 1, COMID = 11688298, REACHCODE = "02060003000579", REACHCODE_measure = 33.8, offset = 30.27), tolerance = 0.01) expect_equal(nrow(index_points_to_lines(flines_in, point, search_radius = sr, max_matches = 5)), 5) expect_equal(index_points_to_lines(flines_in, point, search_radius = sr, precision = 30), data.frame(point_id = 1, COMID = 11688298, REACHCODE = "02060003000579", REACHCODE_measure = 25.9, offset = 0.0000959), tolerance = 0.001) point_w <- sf::st_sfc(sf::st_point(c(-76.86934, 39.49328)), crs = 4326) expect_warning(index_points_to_lines(flines_in, point_w, search_radius = sr), "crs of lines and points don't match. attempting st_transform of lines") names(flines_in)[1] <- "broken" expect_error(index_points_to_lines(flines_in, point, search_radius = sr), "index_points_to_lines requires id hydroloom attributes.") }) test_that("point indexing works without measures", { if(!require(nhdplusTools)) skip("Missing nhdplusTools") flines_in <- sample_flines flines_in <- sf::st_cast(sf::st_transform(flines_in, 4269), "LINESTRING", warn = FALSE) flines_in <- dplyr::select(flines_in, -FromMeas, -ToMeas) point <- sf::st_sfc(sf::st_point(c(-76.86876, 39.49345)), crs = 4269) expect_equal(index_points_to_lines(flines_in, point), data.frame(point_id = 1, COMID = 11688298, REACHCODE = "02060003000579", offset = 0.000348), tolerance = 0.01) }) test_that("point indexing to for multiple points works", { if(!require(nhdplusTools)) skip("Missing nhdplusTools") flines_in <- sample_flines flines_in <- sf::st_transform(flines_in, 4269) point <- sf::st_sfc(list(sf::st_point(c(-76.86934, 39.49328)), sf::st_point(c(-76.91711, 39.40884)), sf::st_point(c(-76.88081, 39.36354))), crs = 4269) expect_equal(index_points_to_lines(flines_in, point, search_radius = sr), data.frame(point_id = c(1, 2, 3), COMID = c(11688298, 11688808, 11688980), REACHCODE = c("02060003000579", "02060003000519", "02060003000253"), REACHCODE_measure = c(0, 53.58737, 75.37795), offset = c(0.00006026811, 0.00056414104, 0.00031029699)), tolerance = 1e-2) expect_equal(index_points_to_lines(flines_in, point, search_radius = sr, precision = 5), data.frame(point_id = c(1, 2, 3), COMID = c(11688298, 11688808, 11688980), REACHCODE = c("02060003000579", "02060003000519", "02060003000253"), REACHCODE_measure = c(2.1599, 50.52674, 77.40798), offset = c(0.0000602681, 0.0002523808, 0.0001566810)), tolerance = 1e-2) matches <- index_points_to_lines(flines_in, point, search_radius = sr, max_matches = 10) expect_true("point_id" %in% names(matches)) matches2 <- index_points_to_lines(flines_in, point, search_radius = sr, precision = 50, max_matches = 10) expect_equal(nrow(matches), nrow(matches2)) expect_true(all(matches2$REACHCODE %in% matches$REACHCODE)) }) test_that("multipart indexing", { points <- sf::read_sf(list.files(pattern = "*flowline_index_reprex.gpkg", recursive = TRUE, full.names = TRUE), "sites") lines <- sf::read_sf(list.files(pattern = "*flowline_index_reprex.gpkg", recursive = TRUE, full.names = TRUE), "reaches") warn <- capture_warnings(index <- index_points_to_lines(lines, points, search_radius = 500)) expect_true(all(c("Attempting to combine multipart lines into single part lines. Check results!!", "search_radius units not set, trying units of points CRS.") %in% warn)) expect_true(all(index$COMID == 51664)) }) test_that("no duplicates when using precision", { # https://github.com/DOI-USGS/hydroloom/issues/11 # Define points locs <- dplyr::tibble(id = c(1, 2), lon = c(-83.87865, -83.87975), lat = c(35.60989, 35.60963)) points <- sf::st_as_sf(locs, coords = c("lon", "lat"), crs = 4326) |> sf::st_transform(5070) flines_aoi <- sf::st_buffer(points, dist = units::as_units(5000, "m")) |> sf::st_bbox() |> sf::st_as_sfc() # Define objects that we'd pass to get_flowline_index search_rad <- units::as_units(500, "m") max_match <- 3 precision <- 10 flines <- sf::read_sf(list.files(pattern = "index_precision.gpkg", full.names = TRUE, recursive = TRUE)) check <-index_points_to_lines(x = flines, points = points, search_radius = search_rad, max_matches = max_match, precision = precision) |> dplyr::filter(point_id == 2) expect_equal(length(unique(check$comid)), 3) }) test_that("disambiguate", { if(!require(nhdplusTools)) skip("Missing nhdplusTools") source(system.file("extdata", "sample_flines.R", package = "nhdplusTools")) hydro_location <- sf::st_sf(point_id = c(1, 2, 3), geom = sf::st_sfc(list(sf::st_point(c(-76.86934, 39.49328)), sf::st_point(c(-76.91711, 39.40884)), sf::st_point(c(-76.88081, 39.36354))), crs = 4326), totda = c(23.6, 7.3, 427.9), nameid = c("Patapsco", "", "Falls Run River")) indexes <- index_points_to_lines(sample_flines, hydro_location, search_radius = units::set_units(0.2, "degrees"), max_matches = 10) result <- disambiguate_indexes(indexes, dplyr::select(sample_flines, COMID, TotDASqKM), dplyr::select(hydro_location, point_id, totda)) expect_equal(nrow(result), 3) expect_equal(names(result), c("point_id", "COMID", "REACHCODE", "REACHCODE_measure", "offset")) result <- disambiguate_indexes(indexes, hy(dplyr::select(sample_flines, COMID, TotDASqKM)), dplyr::select(hydro_location, point_id, totda)) expect_equal(nrow(result), 3) expect_equal(names(result), c("point_id", "id", "aggregate_id", "aggregate_id_measure", "offset")) result <- disambiguate_indexes(indexes, dplyr::select(sample_flines, COMID, GNIS_NAME), dplyr::select(hydro_location, point_id, nameid)) expect_equal(nrow(result[result$point_id == 1, ]), 3) expect_equal(nrow(result[result$point_id == 2, ]), 10) expect_equal(nrow(result[result$point_id == 3, ]), 1) expect_error(disambiguate_indexes(indexes, dplyr::select(sample_flines, COMID, GNIS_NAME), hydro_location), "flowpath and hydrolocation must be two-column data.frames") expect_error(disambiguate_indexes(indexes, dplyr::select(sample_flines, COMID, GNIS_NAME), dplyr::select(hydro_location, point_id, totda)), "flowpath and hydrolocation metrics must both be numeric or character") })