parzer
parses messy geographic coordinates
Docs: https://docs.ropensci.org/parzer/
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
API:
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
For example, parse latitude and longitude from messy character vectors.
parse_lat(c("45N54.2356", "-45.98739874", "40.123°"))
#> [1] 45.90393 -45.98740 40.12300
parse_lon(c("45W54.2356", "-45.98739874", "40.123°"))
#> [1] -45.90393 -45.98740 40.12300
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"))
#> lat lon
#> 1 -4.860 -101.56861
#> 2 40.123 -45.90393
See 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')