parzer

parzer parses messy geographic coordinates

You may get data from a published study or a colleague where the coordinates are in some messy character format that you’d like to clean up to get all decimal degree numeric data.

`parzer` usage

For example, parse latitude and longitude from messy character vectors.

parse_lat(c("45N54.2356", "-45.98739874", "40.123°"))
R> [1]  45.90 -45.99  40.12

parse_lon(c("45W54.2356", "-45.98739874", "40.123°"))
R> [1] -45.90 -45.99  40.12

And you can even split and parse strings that contain latitude and longitude together.

parse_llstr(c("4 51'36\"S, 101 34'7\"W",
              "40.123°; 45W54.2356"))
R>     lat    lon
R> 1 -4.86 -101.6
R> 2 40.12  -45.9

See more in the Introduction to the parzer package vignette.

Installation

Stable version:

install.packages("parzer")

Development version:

# remotes::install_github("ropensci/parzer")
install.packages("parzer", repos = c('https://ropensci.r-universe.dev', 'https://cloud.r-project.org'))

List of functions:

parse_hemisphere
parse_lat
parse_llstr
parse_lon
parse_lon_lat
parse_parts_lat
parse_parts_lon
pz_d
pz_degree
pz_m
pz_minute
pz_s
pz_second

Similar art

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 version.