View source: R/matchup_funcs.R
get_closest_bins | R Documentation |
If you have a dataframe of longitudes and latitudes, find the closest bin numbers from NASA's 4km or 9km-resolution L3b (level-3 binned) files.
get_closest_bins(
geo_df,
bin_df,
measure = "geodesic",
max_bins = 100,
radius = Inf
)
geo_df |
Dataframe with numeric columns longitude, latitude |
bin_df |
Dataframe with numeric columns bin, longitude, latitude (created using the bin, lon, lat vectors in this package, see details) |
measure |
Algorithm to use for distance calculation, see "measure" in ?geodist::geodist |
max_bins |
Maximum number of closest bins to return (<= 100) |
radius |
Maximum distance between lat/lon pair and bin lat/lon (in metres) |
Bin/lat/lon data can be retrieved using the get_bins() function (see examples).
geo_df dataframe with new columns "dist" (distance to closest bin(s), in metres), "bin" (closest bin number(s)), and bin_latitude/longitude
geo_df <- data.frame(latitude=c(43.76299,43.6579,43.47346,51.83278,52.19771,60.32528,60.19208,52.28504,52.06484,44.6917,47.46267),
longitude=c(-62.7525,-62.6464,-62.45467,-46.45183,-45.65968,-48.6459,-48.68755,-53.53753,-54.30495,-63.6417,-59.95133),
stringsAsFactors = FALSE)
# note that this example is using a bin grid restricted to the Northwest Atlantic (NWA),
# so if any points in geo_df are near the edge of the grid, they might have fewer matching bins
bin_df <- get_bins(region="nwa", resolution="4km", variables=c("bin","latitude","longitude"))
# get closest bins within 10km, limited to the 50 closest bins
closest_bins <- get_closest_bins(geo_df=geo_df, bin_df=bin_df, max_bins=50, radius=10000)
head(closest_bins)
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