I'm trying to plot a tidy map of English regions in R. I'm using code that runs successfully on other shapefiles, but when I run this the code executes without error, but then just presents a blank image. I can plot the blank map using traditional methods, and the tidy object looks fine to me, so I'm at a loss to understand what's going on.
This is the code I'm using:
library(tidyverse)
library(broom)
library(rgdal)
# load and check the English regions map
eng_reg_map <- readOGR(
dsn = "./Region_(December_2015)_Boundaries"
)
plot(eng_reg_map)
# make a tidy map
tidy_eng_reg_map <- tidy(eng_reg_map, region = "rgn15nm")
# blank map
ggplot() +
geom_polygon(data = tidy_eng_reg_map, aes(x = long, y = lat, group = group), fill = "white", colour = "black") +
theme_void() +
coord_map()
The shapefile I'm using is available here (you have to select the shapefile from the list - sorry I can't provide a direct link).
Does anyone know what the problem could be?
(Cross-posting on GIS Stack Exchange)
Edit
A friend got me halfway there: the problem is that latitude and longitude are in British-style Eastings and Northings, not global co-ordinates. Anyone know a way to convert them using rgdal
?
See below for an option using sf
. This is relevant for two reasons:
rgdal
will be retired soon:Please note that rgdal will be retired by the end of 2023, plan transition to sf/stars/terra functions using GDAL and PROJ at your earliest convenience.
I do actually also get an error running using readOGR
(your code):
Error in OGRSpatialRef(dsn, layer, morphFromESRI = morphFromESRI, dumpSRS = dumpSRS, : (converted from warning) Discarded datum Ordnance_Survey_of_Great_Britain_1936 in Proj4 definition: +proj=tmerc +lat_0=49 +lon_0=-2 +k=0.9996012717 +x_0=400000 +y_0=-100000 +ellps=airy +units=m +no_defs
broom::tidy()
is deprecated:Error: (converted from warning) Data frame tidiers are deprecated and will be removed in an upcoming release of broom.
library(ggplot2)
library(sf)
eng_reg_map <-
st_read("./Region_(December_2015)_Boundaries/Region_(December_2015)_Boundaries.shp")
eng_reg_map |>
ggplot() +
geom_sf(fill = "white",
colour = "black") +
theme_void()
Output:
Update:
The import is also in this case tidy and allows for a join:
library(dplyr)
library(ggplot2)
library(sf)
eng_reg_map |>
left_join(tibble(rgn15nm = c("North East",
"North West",
"Yorkshire and The Humber",
"East Midlands",
"West Midlands",
"East of England",
"London",
"South East",
"South West"),
pop = seq(1000, 9000, by = 1000))) |>
ggplot(aes(fill = pop)) +
geom_sf(colour = "black") +
theme_void()
Output: