Given a set of flowline indexes and numeric or ascii criteria, return closest match. If numeric criteria are used, the minimum difference in the numeric attribute is used for disambiguation. If ascii criteria are used, the adist function is used with the following algorithm: `1 - adist_score / max_string_length`. Comparisons ignore case.
disambiguate_flowline_indexes(indexes, flowpath, hydro_location)data.frame as output from get_flowline_index with more than one hydrologic location per indexed point.
data.frame with two columns. The first should join to the COMID field of the indexes and the second should be the numeric or ascii metric such as drainage area or GNIS Name. Names of this data.frame are not used.
data.frame with two columns. The first should join to the id field of the indexes and the second should be the numeric or ascii metric such as drainage area or GNIS Name.. Names of this data,frame are not used.
data.frame indexes deduplicated according to the minimum difference between the values in the metric columns. If two or more result in the same "minimum" value, duplicates will be returned.
source(system.file("extdata", "sample_flines.R", package = "nhdplusTools"))
hydro_location <- sf::st_sf(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"))
flowpath <- dplyr::select(sample_flines,
comid = COMID,
totda = TotDASqKM,
nameid = GNIS_NAME,
REACHCODE,
ToMeas,
FromMeas)
indexes <- get_flowline_index(flowpath,
hydro_location,
search_radius = 0.2,
max_matches = 10)
#> Warning: search_radius units not set, trying units of points CRS.
#> Warning: converting to LINESTRING, this may be slow, check results
disambiguate_flowline_indexes(indexes,
dplyr::select(flowpath, comid, totda),
dplyr::select(hydro_location, id, totda))
#> # A tibble: 3 × 5
#> id COMID REACHCODE REACH_meas offset
#> <dbl> <int> <chr> <dbl> <dbl>
#> 1 1 11688298 02060003000579 0 0.0000603
#> 2 2 11688808 02060003000519 53.6 0.000564
#> 3 3 11688950 02060003000254 18.5 0.00113
result <- disambiguate_flowline_indexes(indexes,
dplyr::select(flowpath, comid, nameid),
dplyr::select(hydro_location, id, nameid))
result[result$id == 1, ]
#> # A tibble: 3 × 5
#> id COMID REACHCODE REACH_meas offset
#> <dbl> <int> <chr> <dbl> <dbl>
#> 1 1 11689928 02060003001468 0 0.00203
#> 2 1 11689978 02060003001472 100 0.00203
#> 3 1 11690532 02060003000256 0 0.00451
result[result$id == 2, ]
#> # A tibble: 10 × 5
#> id COMID REACHCODE REACH_meas offset
#> <dbl> <int> <chr> <dbl> <dbl>
#> 1 2 11688808 02060003000519 53.6 0.000564
#> 2 2 11690110 02060003001493 100 0.00742
#> 3 2 11688822 02060003000518 39.5 0.00768
#> 4 2 11688742 02060003000521 0 0.00855
#> 5 2 11688778 02060003000520 0 0.00855
#> 6 2 11690112 02060003001494 100 0.00955
#> 7 2 11690122 02060003001495 100 0.0103
#> 8 2 11688868 02060003000517 27.8 0.0169
#> 9 2 11690124 02060003001496 100 0.0195
#> 10 2 11690128 02060003001498 100 0.0210
result[result$id == 3, ]
#> # A tibble: 1 × 5
#> id COMID REACHCODE REACH_meas offset
#> <dbl> <int> <chr> <dbl> <dbl>
#> 1 3 11688948 02060003000516 0 0.00321