[R] Mapping Geographical Coordinate Data

[Bert Gunter]

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 using 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
>
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