Mapping Geographical Coordinate Data
And post a minimal reproducible example (perhaps using dput(head(dta))).
On July 4, 2020 7:41:28 AM PDT, Bert Gunter <bgunter.4567 at gmail.com> wrote:
You should post on r-sig-geo, not here. You are much more likely to find the interest and expertise you seek there. Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sat, Jul 4, 2020 at 7:34 AM Graham Leask via R-help <r-help at r-project.org> wrote:
Dear List, I have a postcode file containing geographical coordinates but this
is not
in the format of a standard shape file. I list the first 5 observations
below;
Postcode Postcode_geometry <chr> <chr> 1 101
[[[[15.066294,54.986481],[15.08849170010846,54.98916685060565]?
2 102
[[[[12.529952999999999,55.631105],[12.525127622017353,55.62519?
3 103
[[[[12.545395,55.684824],[12.564698,55.684824],[12.568558,55.6?
4 104
[[[[12.510651,55.635403],[12.526093,55.635403],[12.52995299999?
5 105
[[[[12.50293,55.641849],[12.511615913774403,55.65205570659488]?
The length of the second variable precludes showing all of each line. tibble [62 ? 2] (S3: tbl_df/tbl/data.frame) $ Postcode : chr [1:62] "101" "102" "103" "104" ... ..- attr(*, "label")= chr "Brick code" ..- attr(*, "format.stata")= chr "%9s" $ Postcode_geometry: chr [1:62]
"[[[[15.066294,54.986481],[15.08849170010846,54.98916685060565],[15.109724384490239,55.009579959623146],[15.1203"|
__truncated__
"[[[[12.529952999999999,55.631105],[12.525127622017353,55.62519635262449],[12.507755425704989,55.61552698519515]"|
__truncated__
"[[[[12.545395,55.684824],[12.564698,55.684824],[12.568558,55.689122],[12.552151038503252,55.70792316285329],[12"|
__truncated__
"[[[[12.510651,55.635403],[12.526093,55.635403],[12.529952999999999,55.631105],[12.552151038503252,55.6445350874"|
__truncated__ ? How can I map this file using R? I?ve tried using the sf package with st_multipolygon and st_multilinestring without success. Any help as to which package and appropriate commands to successfully
map
this data using R will be appreciated. Kind regards Graham
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
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______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Sent from my phone. Please excuse my brevity.