问将点添加到英国地方当局的合唱图中

EN

#converts file into a readable format
options(scipen = 999)

#create a data frame from imported CSV file
mydata <- readr::read_csv("/Users/Desktop/R/Map/Fuel_Poverty.csv")

#import shape file
mymap <-st_read("Local_Authority_Districts__December_2019__Boundaries_UK_BUC.shp", stringsAsFactors = FALSE)

#joins map shape file to local authority data csv
map_and_data <- inner_join(mymap,mydata)

#displays structure of object
str(map_and_data)

#creates a plot
ggplot(map_and_data) +
  geom_sf(aes(fill = Fuel_Poverty_Percentage),lwd = 0.1) +
  theme_void() + 
  scale_fill_gradient2(low = "#a50026", high = "#005abb", midpoint = 170, na.value = "#808080")

(sites <- data.frame(lat = c(54.7), long = c(-1.27)))

#creates a plot
ggplot(map_and_data) +
  geom_sf(aes(fill = Fuel_Poverty),lwd = 0.1) +  # lwd = 0.1 is line thickness, 1.5 @5000 pixels to save well
  geom_point(data = sites, aes(x = long, y = lat), size = 3, shape = 21, fill = "red") +
  theme_void() +     #this takes out the background
  scale_fill_gradient2(low = "#005abb", high = "#a50026", midpoint = 12, na.value = "#808080")