Given a network and set of IDs, finds path lengths between all identified flowpath outlets. This algorithm finds distance between outlets regardless of flow direction.
get_path_lengths(outlets, network, cores = 1, status = FALSE)vector of IDs from data.frame
data.frame with ID, toID, and lengthkm attributes.
integer number of cores to use for parallel computation.
logical print status and progress bars?
data.frame containing the distance between pairs of network outlets. For a network with one terminal outlet, the data.frame will have `nrow(network)^2` rows.
source(system.file("extdata", "walker_data.R", package = "nhdplusTools"))
fline <- walker_flowline
outlets <- c(5329303, 5329357, 5329317, 5329365, 5329435, 5329817)
# Add toCOMID
fline <- nhdplusTools::get_tocomid(fline, add = TRUE)
fl <- dplyr::select(fline, ID = comid, toID = tocomid, lengthkm)
get_path_lengths(outlets, fl)
#> Warning: get_paths* is deprecated in favor of get_paths in the hydroloom package.
#> ID_1 ID_2 network_distance_km
#> 1 5329303 5329357 18.742
#> 2 5329303 5329317 5.797
#> 3 5329303 5329365 22.345
#> 4 5329303 5329435 35.130
#> 5 5329303 5329817 16.043
#> 6 5329357 5329317 12.945
#> 7 5329357 5329365 3.603
#> 8 5329357 5329435 16.388
#> 9 5329357 5329817 8.937
#> 10 5329317 5329365 16.548
#> 11 5329317 5329435 29.333
#> 12 5329317 5329817 10.246
#> 13 5329365 5329435 12.785
#> 14 5329365 5329817 12.540
#> 15 5329435 5329817 25.325