I'm looking for an efficient way to link each record in a large dataset to its nearest NOAA weather station. The dataset contains 9-digit zip codes, and NOAA weather stations have lat long info. Anyone have tips on the best way to do this? Thanks!
EDIT: updating with code that worked in case anyone else is looking to find nearest NOAA weather station to a set of zip codes/ if there are suggestions for better ways to do this.
code based on that provided in this question: Finding nearest neighbour (log, lat), then the next closest neighbor, and so on for all points between two datasets in R
temp_stations is downloaded from https://www1.ncdc.noaa.gov/pub/data/normals/1981-2010/station-inventories/temp-inventory.txt (weather stations used in development of temperature dataset)
zipcodes is a package that contains a dataset with lat long for each zip code in the US.
install.packages("zipcode")
require(zipcode)
data(zipcode)
#prime.zips is a subset of "zipcode" created by selecting just the zip codes contained in my original dataset. running the code below on the whole zipcode dataset crashed R on my computer.
install.packages("geosphere")
require(geosphere)
mat <- distm(prime.zips[ ,c('longitude','latitude')], temp_stations[ ,c(3,2)], fun=distGeo)
# assign the weather station id to each record in prime.zips based on shortest distance in the matrix
prime.zips$nearest.station <- temp_stations$station.id[apply(mat, 1, which.min)]