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Introducing the nascent R package {blimey}
(repository). At this stage it contains only the following data:
railways
— latitude and longitude segments along railway lines (wide format);railways_pivot
— latitude and longitude segments along railway lines (long format); andrailway_stations
— codes, names and locations of railway stations.
Load a couple of core packages.
library(dplyr) library(ggmap)
Load the {blimey}
package.
library(blimey)
Let’s take a look at the railways
data.
head(railways) # A tibble: 6 × 7 fid elr trid lat_start lat_end lon_end lon_start <dbl> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> 1 0 MLN3 1100 50.3 50.3 -5.06 -4.83 2 1 SDS 3100 50.3 50.3 -4.83 -4.83 3 2 MLN3 1600 50.3 50.3 -5.07 -5.07 4 3 MLN4 3700 50.2 50.2 -5.45 -5.45 5 4 MLN4 3601 50.1 50.1 -5.53 -5.53 6 5 MLN4 1100 50.2 50.1 -5.50 -5.45
We’re going to plot those data out on a map. Define the bounding box for the map.
bb <- c(left = -8, bottom = 49.80, right = 3, top = 59.50)
Use {ggmap}
to load Stamen Map tiles for the toner lite map.
map_toner <- get_stamenmap(bb, zoom = 8, maptype = "toner-lite")
Define some colours for plotting the lines and stations.
COLOUR_MUTED_BLUE <- "#1f77b4" COLOUR_SAFETY_ORANGE <- "#ff7f0e"
Create a function which will tweak the map appearance.
theme_map <- function(plot) { plot + coord_map() + scale_x_continuous(expand = expansion(0, 0)) + scale_y_continuous(expand = expansion(0, 0)) + theme( legend.position = "none", axis.title = element_blank(), axis.text = element_blank(), axis.ticks = element_blank(), text = element_text(size = 12) ) }
Show the railway line segments over the toner lite map.
map <- ggmap(map_toner, extent = "normal") + geom_segment( data = railways, aes( x = lon_start, y = lat_start, xend = lon_end, yend = lat_end, ), size = 1, alpha = 0.5, col = COLOUR_MUTED_BLUE ) (map <- theme_map(map))
Now add in the railway stations.
(ggmap(map_toner, extent = "normal") + geom_segment( data = railways, aes( x = lon_start, y = lat_start, xend = lon_end, yend = lat_end ), size = 2, alpha = 0.5, col = COLOUR_MUTED_BLUE ) + geom_point( data = railway_stations, aes( x = lon, y = lat ), size = 2, alpha = 0.5, col = COLOUR_SAFETY_ORANGE )) %>% theme_map()
The maps are fairly large. Open them in a separate tab so that you can zoom in on the details.
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