I am working with the R programming language.
I am following this tutorial here (https://cengel.github.io/R-spatial/mapping.html) and trying to make a "heatmap" like this:
Here is the code I am using:
# input shapefile = sf
st_trans = st_transform(sf, 4326)
breaks_qt <- classIntervals(sf$my_variable, n=7, style = "quantile")
pal_fun <- colorQuantile("YlOrRd", NULL, n=7)
m = leaflet(st_trans) %>%
addPolygons(
stroke = FALSE,
fillColor = ~pal_fun(my_variable),
fillOpacity = 0.8, smoothFactor = 0.5,
popup = label_text) %>%
addTiles(group = "OSM") %>%
addProviderTiles("CartoDB.DarkMatter",group = "Carto") %>%
addLegend("bottomright",
colors = brewer.pal(7, "YlOrRd"),
labels = paste0("up to ", format(breaks_qt$brks[-1], digits = 2)),
title = 'Legend Title') %>%
addLayersControl(baseGroups = c("OSM", "Carto"),
overlayGroups = c("groups"))
In the past, this above code has worked well - however, this time, "my_variable" (e.g. number of Spelling Bee champions in each polygon) has many zeros which I think is causing problems in the labels = paste0("up to ", format(breaks_qt$brks[-1], digits = 2)) and classIntervals(sf$my_variable, n=7, style = "quantile") lines (e.g. Error: 'breaks' are not unique')
I tried looking at previous posts (e.g. Cut() error - 'breaks' are not unique) and was able to use one of the answers here to resolve the first problem, e.g.
a_ranks <- rank(st_trans$my_variable, ties.method = "first")
st_trans$my_variable <- cut(a_ranks, quantile(a_ranks, probs=c(0, 0.15, 0.30, 0.45, 0.60, 0.75, 0.90)), include.lowest=TRUE, labels=FALSE)
m = leaflet(st_trans) %>%
addPolygons(
stroke = FALSE,
fillColor = ~pal_fun(my_variable),
fillOpacity = 0.8, smoothFactor = 0.5,
popup = label_text) %>%
addTiles(group = "OSM") %>%
addProviderTiles("CartoDB.DarkMatter",group = "Carto") %>%
addLegend("bottomright",
colors = brewer.pal(7, "YlOrRd"),
labels = paste0("up to ", format(st_trans$my_variable, digits = 2)),
title = 'Legend Title') %>%
addLayersControl(baseGroups = c("OSM", "Carto"),
overlayGroups = c("groups"))
But I still get an error: Error in addLegend(),: 'colors' and 'labels' must be of the same length
In general, are there any methods I can use to avoid these problems?
Thanks!
Note: I can get the map to work without the legend
leaflet(st_trans) %>%
addPolygons(
stroke = FALSE,
fillColor = ~pal_fun(my_variable),
fillOpacity = 0.8, smoothFactor = 0.5,
popup = label_text) %>%
addTiles(group = "OSM") %>%
addProviderTiles("CartoDB.DarkMatter",group = "Carto")
Related
Using the code below, I have created a map within the shiny app context. However, as shown in the picture, the polygons' colors are inconsistent with the legend color scheme. I wonder how they can be consistent preferably by changing the legend color scheme. In the code below, the bi_class variable was defined in 9 categories involving a 3-dimensional quantile of x and y variables (i.e, low-low, low-medium, low-high, medium-low, medium-medium, ...).
output$bi_ACSB_BlackP <- renderLeaflet ({
npal2 <- colorFactor(
palette = ("Greens"),
domain = IDD_nhmap$bi_class
)
labels <- sprintf(
"<strong>Zip Code=%s </strong> <br/> African American (ACS) = %s <br/> African American (Projects)= %s ",
IDD_mapdata_()$Zip,
IDD_mapdata_()$Zip_Black,
IDD_mapdata_()$Zip_Hisp
) %>%
lapply(htmltools::HTML)
leaflet (IDD_mapdata_(), options = leafletOptions(zoomSnap = 0.25, zoomDelta =
0.25)) %>%
addProviderTiles("CartoDB.Positron",
options = providerTileOptions(opacity = 2)) %>%
clearControls() %>%
clearShapes() %>%
addPolygons(
fillColor = ~npal2(bi_class),
stroke = T,
weight = 1,
smoothFactor = 0.2,
fillOpacity = 1,
color = "black",
# label=~paste0(NAME," ","County",":"," ",input$sex_map,",", " ",
# input$ProjectID,"=",Age,"%"),
label = labels,
labelOptions = labelOptions(
interactive = TRUE,
style = list(
'direction' = 'auto',
'color' =
'black',
'font-family' = 'sans-serif',
# 'font-style'= 'italic',
'box-shadow' = '3px 3px rgba(0,0,0,0.25)',
'font-size' = '14px',
'border-color' = 'rgba(0,0,0,0.5)'
)
),
# label=~paste(NAME,"<br>",input$sex_map,
# input$ProjectID,"=",Age,"%"),
# label = lapply(labs, htmltools::HTML),
highlightOptions = highlightOptions(
#color = "red",
weight = 2,
bringToFront = T,
# color = "#666",
fillOpacity = 0.7
)
) %>%
setView(lng = IDD_mapdata_1()$long,
lat = IDD_mapdata_1()$lat,
zoom = 8) %>%
bivariatechoropleths::addBivariateChoropleth(
map_data = bivariatechoropleths::renfrew_county,
var1_name = pop_2016,
var2_name = median_household_income_2015,
ntiles= 3,
var1_label = "African American",
var2_label = "Hispanics",
region_name = "CSDNAME",
weight = 1,
fillOpacity = 0.7,
color = "grey",
highlightOptions = leaflet::highlightOptions(color = "orange",
weight = 2,
opacity = 1)) %>%
addTiles(options = tileOptions(opacity = 2))
})
I think if you declare a function that selects the Green colors like this one should probably work:
palColFun <- function(colorPalette = "Greens", n = 9){
pal <- RColorBrewer::brewer.pal(n, colorPalette)
return(pal)
}
Then in your code for bivariatechropleth you should add as follows:
bivariatechoropleths::addBivariateChoropleth(
map_data = bivariatechoropleths::renfrew_county,
var1_name = pop_2016,
var2_name = median_household_income_2015,
ntiles= 3,
var1_label = "African American",
var2_label = "Hispanics",
region_name = "CSDNAME",
weight = 1,
paletteFunction = palColFun,
fillOpacity = 0.7,
color = "grey",
highlightOptions = leaflet::highlightOptions(color = "orange",
weight = 2,
opacity = 1)) %>%
addTiles(options = tileOptions(opacity = 2))
Ideally you would link palColFun with the same color you generated for the plots, but given the example above, it is not for me to reproduce the example.
Hopefully this works.
It is possible create use a grey when the value in nycounties$dimension is 0 and in the rest use the palette? How can I do it? I have try an if in fill color but i have an error Error in getMapData(map) : argument "map" is missing, with no default
library(leaflet)
nycounties <- rgdal::readOGR("https://raw.githubusercontent.com/openpolis/geojson-italy/master/geojson/limits_IT_provinces.geojson")
city <- c("Novara", "Milano","Torino","Bari")
dimension <- as.numeric(c("1500", "5000","3000","4600"))
df <- data.frame(city, dimension)
nycounties#data = data.frame(nycounties#data,
df[match(nycounties#data[, "prov_name"],
df[, "city"]),])
pal <- colorNumeric("viridis", NULL)
nycounties$dimension[is.na(nycounties$dimension)] = 0
leaflet(nycounties) %>%
addTiles() %>%
addPolygons(stroke = TRUE, smoothFactor = 0.3, fillOpacity = 1,
fillColor = ~pal(nycounties$dimension), weight = 1, color = "black", label = nycounties$prov_name) %>%
addLegend(pal = pal, values = ~(nycounties$dimension), opacity = 1.0)
library(leaflet)
nycounties <- rgdal::readOGR("https://raw.githubusercontent.com/openpolis/geojson-italy/master/geojson/limits_IT_provinces.geojson")
city <- c("Novara", "Milano","Torino","Bari","Cagliari","Perugia")
dimension <- as.numeric(c("1500", "5000","3000","4600","4500","8604"))
df <- data.frame(city, dimension)
nycounties#data = data.frame(nycounties#data,
df[match(nycounties#data[, "prov_name"],
df[, "city"]),])
nycounties$dimension[is.na(nycounties$dimension)] = 0
pal <- colorNumeric("viridis", domain=c(1,max(nycounties$dimension)))
leaflet(nycounties) %>%
addTiles() %>%
addPolygons(stroke = TRUE, smoothFactor = 0.3, fillOpacity = 1,
fillColor = ~pal(nycounties$dimension), weight = 1, color = "black", label = nycounties$prov_name) %>%
addLegend(pal = pal, values = ~(nycounties$dimension), opacity = 1.0)
I want to make a loop to add polygons to a leaflet map according to different columns of a data frame.
for (i in 18:22)
createMap = lapply((concello_wgs84_Datos#data[,i]),function(x){
data <- concello_wgs84_Datos#data[,i]
nombre <- names(concello_wgs84_Datos#data[,i])
pal3 <- leaflet::colorBin("YlOrRd", domain = data, 20, pretty = TRUE)
m = leaflet(data=concello_wgs84_Datos[1:17 & concello_wgs84_Datos#data[,i] == x], options = leafletOptions(minZoom = 8, maxZoom = 18)) %>%
addProviderTiles(providers$Esri.WorldImagery) %>% setView(-8.00, 42.80, zoom = 8.3) %>%
addPolygons(data=datos,
fill= TRUE,
fillColor = ~pal3(data),
stroke = FALSE,
color = "#0000CD",
smoothFactor = 0.5,
opacity = 1.0,
fillOpacity = 1,
weight = 0.5,
label = ~as.character(datos$CONCELLO),
labelOptions = labelOptions(noHide = F,
textsize = "7px",
direction = "topright"),
highlightOptions = highlightOptions(color = "white",
weight = 1,
bringToFront = TRUE)) %>%
addCircles(data = coordenadasOAC,
lat = ~ coordenadasOAC$LAT,
lng = ~ coordenadasOAC$LONG,radius =0.3,
color="#CD3333",
fillOpacity = 0.8,
popup = ~as.character(coordenadasOAC$OAC)) %>%
addLegend("bottomleft",
pal = pal3,
values = data,
title = nombre,
labFormat = labelFormat(prefix = ""),opacity = 1)})
htmltools::tagList(createMap)
but I have the following error: Error in`[.data.frameĀ“(x#data,i,j,...,drop=False): undefined columns selected.
Could you help me?
I'm building a leaflet map on R having multiple layers that are controlled by addLayersControl. Every layer as the same spatial information, so only the data associated to each polylines changes. The idea is to have a basic map, where the user decide which data field is display. I succeeded at making the map, however I noticed that the size of the html file produced is huge.
In my actual context, making the map with only one layer leads to a ~20mb file. However, if I add one field it gets to ~40mb and three layer ~60mb. So it seems to me that the html produced is loading the same shapefile 3 times instead of simply using one shapefile and linking it a data frame of some sort.
Am I stock with this behavior of leaflet or is there a way to file size inflation in my context? I may not have programmed my leaflet the better way...
I've made a reproducible example to show the problem. It uses a small shapefile so the size problem is not dramatic, however the point is the same, which is constantly doubling file size. Also, the example is lengthy, sorry about that, I could'n find a way to simplify it further.
Preparation:
# loading the libraries
library(sf)
library(leaflet)
library(htmlwidgets)
# preparing the shapefile
nc <- st_read(system.file("gpkg/nc.gpkg", package="sf"), quiet = TRUE) %>%
st_transform(st_crs(4326))
# preparing the colors (not really important)
pal.area <- colorNumeric(palette = "inferno", domain = range(nc$AREA))
pal.perim <- colorNumeric(palette = "inferno", domain = range(nc$PERIMETER))
pal.cnty <- colorNumeric(palette = "inferno", domain = range(nc$CNTY_))
pal.sid74 <- colorNumeric(palette = "inferno", domain = range(nc$SID74))
Making the leaflet, this section is long, however it's simply 4 leaflet maps created one after another by adding one layer at a time. It's mostly copy-pasted work:
###
one_layer <- leaflet(data = nc) %>%
addTiles() %>%
addPolylines(fillColor = ~pal.area(AREA),
fill = TRUE,
opacity = 0.8,
group = "area") %>%
addLegend("bottomright",
pal = pal.area, values = ~AREA,
opacity = 1, group = "area"
)
###
###
two_layers <- leaflet(data = nc) %>%
addTiles() %>%
addPolylines(fillColor = ~pal.area(AREA),
fill = TRUE,
opacity = 0.8,
group = "area") %>%
addLegend("bottomright",
pal = pal.area, values = ~AREA,
opacity = 1, group = "area") %>%
addPolylines(fillColor = ~pal.perim(PERIMETER),
fill = TRUE,
opacity = 0.8,
group = "perim") %>%
addLegend("bottomright",
pal = pal.perim, values = ~PERIMETER,
opacity = 1, group = "perim"
) %>%
addLayersControl(
overlayGroups = c("area", "perim"), position = "bottomleft",
options = layersControlOptions(collapsed = FALSE)
)
###
###
three_layers <- leaflet(data = nc) %>%
addTiles() %>%
addPolylines(fillColor = ~pal.area(AREA),
fill = TRUE,
opacity = 0.8,
group = "area") %>%
addLegend("bottomright",
pal = pal.area, values = ~AREA,
opacity = 1, group = "area") %>%
addPolylines(fillColor = ~pal.perim(PERIMETER),
fill = TRUE,
opacity = 0.8,
group = "perim") %>%
addLegend("bottomright",
pal = pal.perim, values = ~PERIMETER,
opacity = 1, group = "perim"
) %>%
addPolylines(fillColor = ~pal.cnty(CNTY_),
fill = TRUE,
opacity = 0.8,
group = "cnty") %>%
addLegend("bottomright",
pal = pal.cnty, values = ~CNTY_,
opacity = 1, group = "cnty"
) %>%
addLayersControl(
overlayGroups = c("area", "perim", "cnty"), position = "bottomleft",
options = layersControlOptions(collapsed = FALSE)
) %>%
hideGroup(c("perim","cnty"))
###
###
four_layers <- leaflet(data = nc) %>%
addTiles() %>%
addPolylines(fillColor = ~pal.area(AREA),
fill = TRUE,
opacity = 0.8,
group = "area") %>%
addLegend("bottomright",
pal = pal.area, values = ~AREA,
opacity = 1, group = "area") %>%
addPolylines(fillColor = ~pal.perim(PERIMETER),
fill = TRUE,
opacity = 0.8,
group = "perim") %>%
addLegend("bottomright",
pal = pal.perim, values = ~PERIMETER,
opacity = 1, group = "perim"
) %>%
addPolylines(fillColor = ~pal.cnty(CNTY_),
fill = TRUE,
opacity = 0.8,
group = "cnty") %>%
addLegend("bottomright",
pal = pal.cnty, values = ~CNTY_,
opacity = 1, group = "cnty"
) %>%
addPolylines(fillColor = ~pal.sid74(SID74),
fill = TRUE,
opacity = 0.8,
group = "sid74") %>%
addLegend("bottomright",
pal = pal.sid74, values = ~SID74,
opacity = 1, group = "sid74"
) %>%
addLayersControl(
overlayGroups = c("area", "perim", "cnty", "sid74"), position = "bottomleft",
options = layersControlOptions(collapsed = FALSE)
) %>%
hideGroup(c("perim","cnty", "sid74"))
###
Then, you get 4 objects (maps) we can compare their size directly in R:
object.size(one_layer)
301864 bytes
object.size(two_layers)
531144 bytes
object.size(three_layers)
681872 bytes
object.size(four_layers)
828616 bytes
The size increase is constant and way higher that what we would expect if the only the data was added instead of all the spatial info. As a comparison, the initial shape which has 15 fields is of size:
object.size(nc)
135360 bytes
If we save the maps to HTML, the problem is even more visible:
saveWidget(one_layer, paste0(getwd(),"/temp_data/temp/one_layer.html"), selfcontained = F)
saveWidget(two_layers, paste0(getwd(),"/temp_data/temp/two_layers.html"), selfcontained = F)
saveWidget(three_layers, paste0(getwd(),"/temp_data/temp/three_layers.html"), selfcontained = F)
saveWidget(four_layers, paste0(getwd(),"/temp_data/temp/four_layers.html"), selfcontained = F)
file.info(list.files("temp_data/temp", pattern = ".html$", full.names = T))$size[c(2,4,3,1)] %>%
setNames(c("One Layer", "Two Layers", "Three Layers", "Four Layers")) %>%
barplot(ylab="size in Bytes")
It's clearly doubling in size.
So, to summarize, is there a way to get leaflet to not reproduced the spatial information when adding multiple fields of data to the same map?
I am trying to write a script that would allow people to click on a country then a popup would appear and show the country's name and corresponding value. I have successfully created the map and the boundaries of each country, however when you click on, for example Russia, the popup would show India. Below is a simplified version of the script:
library(leaflet)
library(maps)
countries <- c("Australia", "South Africa", "India", "Mexico", "USA", "Russia")
values <- c(1,2,3,4,5,6)
bounds <- map("world", countries, fill = TRUE, plot = FALSE)
map <- leaflet(data) %>%
addTiles() %>%
addPolygons(data = bounds, group = "Countries",
color = "red",
weight = 2,
popup = paste("Country: ", countries, "<br>", "Value: ", values, "<br>"),
fillOpacity = 0.1,
highlightOptions = highlightOptions(color = "black",
weight = 2,
bringToFront = TRUE))
map
The map is generated using the leaflet package in R. Any solutions or advice would be welcome, I am sure it is a simple error that I am making somewhere.
I leave two options for you. If you just want to show the country names as they are in bounds (e.g., Australia:Melville Island), you need to change popup = countries to popup = ~names.
map1 <- leaflet() %>%
addProviderTiles("OpenStreetMap.Mapnik") %>%
addPolygons(data = bounds, group = "Countries",
color = "red",
weight = 2,
popup = ~names,
fillOpacity = 0.1,
highlightOptions = highlightOptions(color = "black",
weight = 2,
bringToFront = TRUE))
If you want to just have the country names as you specified in countries, you want to manipulate names using gsub(), for example. Here I removed all characters from : to the end for each name.
map2 <- leaflet() %>%
addProviderTiles("OpenStreetMap.Mapnik") %>%
addPolygons(data = bounds, group = "Countries",
color = "red",
weight = 2,
popup = ~gsub(x = names, pattern = ":.*$", replacement = ""),
fillOpacity = 0.1,
highlightOptions = highlightOptions(color = "black",
weight = 2,
bringToFront = TRUE))
EXTRA
The OP added one more thing to his question. Here is my idea. If you have two things to show in popups, you can do the following. You add value to bounds and create popups.
# Add values to bounds.
set.seed(111)
bounds$value <- sample.int(n = 1000, size = 301, replace = TRUE)
map3 <- leaflet() %>%
addProviderTiles("OpenStreetMap.Mapnik") %>%
addPolygons(data = bounds, group = "Countries",
color = "red",
weight = 2,
popup = paste("Country: ", bounds$names, "<br>",
"Value: ", bounds$value, "<br>"),
fillOpacity = 0.1,
highlightOptions = highlightOptions(color = "black",
weight = 2,
bringToFront = TRUE))