parzer parses messy geographic coordinates
Docs: https://docs.ropensci.org/parzer/
You may get data from a published study or a colleague, and the coordinates may be in some messy character format that you’d like to clean up to have all decimal degree numeric data.
parzer API:
parse_hemisphereparse_latparse_llstrparse_lonparse_lon_latparse_parts_latparse_parts_lonpz_dpz_degreepz_mpz_minutepz_spz_secondFor example, parse latitude and longitude from messy character vectors.
parse_lat(c("45N54.2356", "-45.98739874", "40.123°"))
#> [1] 45.90393 -45.98740 40.12300parse_lon(c("45W54.2356", "-45.98739874", "40.123°"))
#> [1] -45.90393 -45.98740 40.12300See more in the Introduction
to the parzer package vignette.
Stable version
install.packages("parzer")Development version
remotes::install_github("ropensci/parzer")library("parzer")sp::char2dms: is most similar to
parzer::parse_lat and parzer::parse_lon.
However, with sp::char2dms you have to specify the
termination character for each of degree, minutes and seconds.
parzer does this for the user.biogeo::dms2dd: very unlike functions in this package.
You must pass separate degrees, minutes, seconds and direction to
dms2dd. No exact analog is found in parzer,
whose main focus is parsing messy geographic coordinates in strings to a
more machine readable versionparzer in R doing
citation(package = 'parzer')