[R-sig-Geo] extract lat-long pairs from sf::st_read MULTIPOLYGON format
Roman Luštrik
roman.lustrik at gmail.com
Sun May 7 09:49:29 CEST 2017
After downloading
https://github.com/trulia/choroplethrAdmin1/blob/master/data/admin1.map.rdata
and
load("admin1.map.rdata")
ilmap<-admin1.map[which(admin1.map$admin == "slovenia"), ]
I get a data.frame
> names(ilmap)
[1] "long" "lat" "order" "hole" "piece"
"group"
[7] "id" "adm1_code" "OBJECTID_1" "diss_me" "adm1_cod_1"
"iso_3166_2"
[13] "wikipedia" "iso_a2" "adm0_sr" "name" "name_alt"
"name_local"
[19] "type" "type_en" "code_local" "code_hasc" "note"
"hasc_maybe"
[25] "region" "region_cod" "provnum_ne" "gadm_level" "check_me"
"scalerank"
[31] "datarank" "abbrev" "postal" "area_sqkm" "sameascity"
"labelrank"
[37] "featurecla" "name_len" "mapcolor9" "mapcolor13" "fips"
"fips_alt"
[43] "woe_id" "woe_label" "woe_name" "latitude" "longitude"
"sov_a3"
[49] "adm0_a3" "adm0_label" "admin" "geonunit" "gu_a3"
"gn_id"
[55] "gn_name" "gns_id" "gns_name" "gn_level" "gn_region"
"gn_a1_code"
[61] "region_sub" "sub_code" "gns_level" "gns_lang" "gns_adm1"
"gns_region"
Notice the first two columns. If this isn't what you're after, perhaps try
coordinates().
Cheers,
Roman
On Sat, May 6, 2017 at 10:56 PM, Brandon Payne <payneb at post.bgu.ac.il>
wrote:
>
> ## I am trying to modify the
>
> install_github("choroplethrAdmin1", "arilamstein")
>
> package. It can show a map by
>
> choroplethrAdmin1::admin1_map("israel")
>
> The shape data is hidden in .Rdata, (principle of encapsulation)
> so to get at it I had to
>
> ```{bash}
> git clone git at github.com:arilamstein/choroplethrAdmin1.git
> cd chor*
> ```
> ```{r}
> load("/Users/AbuDavid/scratch/R/choroplethrAdmin1/data/
> admin1.regions.rdata")
> ilmap<-admin1.map[which(admin1.map$admin == name), ]
> View(ilmap)
> #write.csv(ilmap, file = "israel.csv", row.names=FALSE)
>
> ```
>
> the format of this data looks like
>
> 35.13070357 32.70585928 israel haifa district 1879.1 272218
> FALSE 1 1879
> 35.12837813 32.70314627 israel haifa district 1879.1 272219
> FALSE 1 1879
> 35.12574263 32.7008725 israel haifa district 1879.1 272220
> FALSE 1 1879
> 35.12419234 32.69989065 israel haifa district 1879.1 272221
> FALSE 1 1879
> 35.12248701 32.69919302 israel haifa district 1879.1 272222
> FALSE 1 1879
> 35.12078169 32.69911551 israel haifa district 1879.1 272223
> FALSE 1 1879
> 35.02130456 32.38117626 israel central district 1880.1
> 272295 FALSE 1 1880
> 35.0327303 32.38220026 israel central district 1880.1
> 272296 FALSE 1 1880
> 35.02879684 32.36515737 israel central district 1880.1
> 272297 FALSE 1 1880
> 35.02156213 32.34459015 israel central district 1880.1
> 272298 FALSE 1 1880
> 35.01784143 32.34221303 israel central district 1880.1
> 272299 FALSE
> 1 1880
>
> ## Question:
>
> How can I get the data from my shape file as 2 columns: c(lat, long) ?
>
> I don't mind using something other than sf:st_read.
>
> ```{r importshapes}
> editedmap <- sf::st_read("../includes/ISR_adm_edited/ISR_adm1.shp")
> golan <- editedmap[which(editedmap$NAME_1 == "Golan"), ]
> names(editedmap)
> ```
>
> > names(editedmap)
> [1] "ID_0" "ISO" "NAME_0" "ID_1" "NAME_1" "TYPE_1"
>
> [7] "ENGTYPE_1" "NL_NAME_1" "VARNAME_1" "geometry"
>
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--
In God we trust, all others bring data.
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