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02-geoplot-approach.R
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# Geomapping with Leaflet. NHS geographies.
library(rgdal)
library(readxl)
library(openxlsx)
library(ggplot2)
library(tidyverse)
library(leaflet)
library(htmlwidgets)
#https://rpubs.com/mattdray/basic-leaflet-maps
###### Create folder for saving if it doesn't exist ####
#######################################################
if (!dir.exists("Output")){
dir.create("Output")
}
#########################################################
############ Load ICS master (enrichment info) #########
########################################################
master_ICS <- read_xlsx("ICS_master.xlsx") # load previously curated ICS file
#########################################################
############ Load trusts master (enrichment info) #########
########################################################
master_trust_mt <- read_xlsx("trusts_master.xlsx") # load previously curated trust file
master_trust <- master_trust_mt
master_trust <- master_trust %>% mutate(Region = factor(Region)) # optional, turn Region (or other categoricals) into factor
#################################
# Load shapefile for ICBs
#####################################
# See e.g. resources in https://geoportal.statistics.gov.uk/search?collection=Dataset&sort=name&tags=all(BDY_ICB%2CAPR_2023)
# Advice to use BSC or BUS (generalised or ultra-generalised if very detailed boundaries not needed, as this reduces size and eventual html load time)
stp_spdf <- readOGR("./Integrated_Care_Boards_April_2023_EN_BSC_-68820443008618605/ICB_APR_2023_EN_BSC.shp") # load ICS shapefile
proj4string(stp_spdf) <- CRS("+init=epsg:27700") # BNG projection system
#stp_spdf@proj4string
stp_spdf <- stp_spdf %>% sp::spTransform(CRS("+init=epsg:4326")) # reproject to latlong system
# Add relevant ICB master (enrichment) info to Shapefile
stp_spdf@data <- stp_spdf@data %>% left_join(master_ICS,by=c("ICB23CD"))
#############################################
# Create a points shapefile for Trusts
#############################################
trust_spdf_points <- sp::SpatialPointsDataFrame(
coords = master_trust %>% select(Longitude,Latitude),
data = master_trust %>% select(-c(Longitude,Latitude)),
proj4string = CRS("+init=epsg:4326") # indicate it is is longitude latitude
)
#glimpse(trust_spdf_points)
#############################################
############### Leaflet - ICS ###################
###########################################
# Prepare the text for ICS tooltips:
mytext <- paste(
"<b> ICS</b><br/>",
"<b>- ICS code:</b> ", stp_spdf@data$ICB23CD,", ",stp_spdf@data$ICB23CDH,"<br/>",
"<b>- ICS name:</b> ", stp_spdf@data$ICB23NM.x,"<br/>",
"<b>- Region name:</b> ", stp_spdf@data$NHSER23NM,"<br/>",
"<b>- 23/24 Population:</b> ", round(stp_spdf@data$Population2324,0),"<br/>",
"<b>- Number of GP practices:</b> ", stp_spdf@data$Gppractices,"<br/>",
sep="") %>%
lapply(htmltools::HTML)
# ICS map layer ###########
# Not colour-coded version
m<-leaflet(stp_spdf) %>%
addTiles() %>%
setView( lat=53, lng=-2 , zoom=5.5) %>%
addPolygons(
group="ICB",
fillColor = "white",
stroke=TRUE,
fillOpacity = 0.8,
color="darkgray",
weight=3,
label = mytext,
labelOptions = labelOptions(
style = list("font-weight" = "normal", padding = "3px 8px"),
textsize = "13px",
direction = "auto"
)
)
# View resulting file
m
saveWidget(m, file=paste0("./Output/ICS_",Sys.Date(),"-2.html"))
### Example colour-coded for population
# Create a color palette with handmade bins.
library(RColorBrewer)
mybins <- c(0,500,1000,1500,2000,2500,3000,Inf)*1000
mypalette <- colorBin( palette="YlOrBr", domain=stp_spdf@data$Population2324, na.color="transparent", bins=mybins)
m_pop<-leaflet(stp_spdf) %>%
addTiles() %>%
setView( lat=53, lng=-2 , zoom=5.5) %>%
addPolygons(
group="ICB",
fillColor = ~mypalette(Population2324),
stroke=TRUE,
fillOpacity = 0.8,
color="darkgray",
weight=3,
label = mytext,
labelOptions = labelOptions(
style = list("font-weight" = "normal", padding = "3px 8px"),
textsize = "13px",
direction = "auto"
)
) %>%
addLegend( pal=mypalette, values=~Population2324, opacity=0.9, title = "Population estimate 23/24", position = "bottomleft" )
# View resulting file
m_pop
saveWidget(m_pop, file=paste0("./Output/ICS_pop_",Sys.Date(),"-2.html"))
###################################################
############### Leaflet - with Trust ###################
#####################################################
#https://rstudio.github.io/leaflet/markers.html
##########################
## Create setting icons ##
##########################
# Create a palette for 'circles' (any RGB/HEX) and one for 'pins' (very restricted choice)
# palette for circles
factpal <- colorFactor("RdYlBu", trust_spdf_points@data$`Provider type`) # viridis
trust_spdf_points@data <- trust_spdf_points@data %>% mutate(
marker_color_hex= factpal(`Provider type`), # create a pallette based on e.g. Region
icon = case_when(`Provider type`=="ACUTE" ~ "h-square",
`Provider type`=="MENTAL HEALTH" ~ "book",
`Provider type`=="COMMUNITY" ~ "home",
`Provider type`=="AMBULANCE" ~ "ambulance",
TRUE ~ "bullseye"),
library = case_when(TRUE ~ "fa"),
marker_color = "green"
)
##########################
## Create hover text ##
##########################
get_popup_content <- function(my_spdf) {
paste0(
"<b>Provider </b>",
#"<br><b>- Provider code</b>:", my_spdf@data$Trust_Code,
"<br><b>- Provider name:</b> ", my_spdf@data$`Provider name`,
"<br><b>- Provider type:</b> ", my_spdf@data$`Provider type`,
"<br><b>- ICS:</b> ", my_spdf@data$ICB,
"<br><b>- ICS:</b> ", my_spdf@data$Region,
sep=""
)
}
##############################################################
## Create leaflet - pins for Trusts . Pin symbol coded based on type ##
###############################################################
map_trusts_2 <- m %>%
leaflet::addAwesomeMarkers(
data = trust_spdf_points,
popup = ~get_popup_content(trust_spdf_points),
label = ~ lapply(get_popup_content(trust_spdf_points), htmltools::HTML),
icon = awesomeIcons(
library = ~library,
icon = ~icon,
#iconColor = "#FFFFFF", # the icon's colour
markerColor = ~marker_color, # this does not accept hex...
)
)
map_trusts_2
saveWidget(map_trusts_2, file=paste0("./Output/AOPv02-cloro-ICS_Trust_",Sys.Date(),"-2.html"))
####################################################
## Create leaflet - pins for Trusts . Circles coloured by type ##
#################################################
map_trusts_4 <- m %>%
addCircleMarkers(data=subset(trust_spdf_points, `Provider type`=="ACUTE"),
group="Acute",
label = ~ lapply(get_popup_content(subset(trust_spdf_points, `Provider type`=="ACUTE")), htmltools::HTML),
fillColor = ~marker_color_hex,
color="#a9a9a9",
weight=2,
fillOpacity = 1,
stroke = T,
radius=9) %>%
addCircleMarkers(data=subset(trust_spdf_points, `Provider type`=="MENTAL HEALTH"),
group="Mental Health",
label = ~ lapply(get_popup_content(subset(trust_spdf_points, `Provider type`=="MENTAL HEALTH")), htmltools::HTML),
fillColor = ~marker_color_hex,
color="#a9a9a9",
weight=2,
fillOpacity = 1,
stroke = T,
radius=9) %>%
addCircleMarkers(data=subset(trust_spdf_points, `Provider type`=="AMBULANCE"),
group="Ambulance",
label = ~ lapply(get_popup_content(subset(trust_spdf_points, `Provider type`=="AMBULANCE")), htmltools::HTML),
fillColor = ~marker_color_hex,
color="#a9a9a9",
weight=2,
fillOpacity = 1,
stroke = T,
radius=9) %>%
addCircleMarkers(data=subset(trust_spdf_points, `Provider type`=="COMMUNITY"),
group="Community Health Services",
label = ~ lapply(get_popup_content(subset(trust_spdf_points, `Provider type`=="COMMUNITY")), htmltools::HTML),
fillColor = ~marker_color_hex,
color="#a9a9a9",
weight=2,
fillOpacity = 1,
stroke = T,
radius=9) %>%
addLegend("bottomright", pal = factpal, values = trust_spdf_points@data$`Provider type`,
title = "EPR supplier",
opacity = 1
) %>%
leaflet::addLayersControl(
overlayGroups = c("ICB","Acute","Mental Health","Ambulance","Community Health Services"), # add these layers
options = layersControlOptions(collapsed = FALSE) # expand on hover?
) %>%
hideGroup(c("Acute")) # turn these off by default
map_trusts_4
saveWidget(map_trusts_4, file=paste0("./Output/AOPv02-circles-cloro-ICS_Trust_",Sys.Date(),"-2.html"))