Plotting density points on a map in R - r

Question

I've been trying to plot the number of tourists from different regions in Canada on a map in R using ggplot2 and openstreet map, but I seem to be missing a step as my points all end up in the bottom right corner of the map and my map shrinks in size.
Here are some of the data I used in the dataset map.tourists.
id Nb.Touristes Nb.Nuitees
1001 939.9513 1879.903
1004 1273.4336 2546.867
1006 776.5203 3882.602
1010 3118.4872 18598.194
1102 921.7354 3971.677
1103 622.8770 1245.754
And here is the code I have until now. The data with the coordinates is in the Statistic Canada file that I download in the code below.
download.file("http://www12.statcan.gc.ca/census-recensement/2011/geo/bound-limit/files-fichiers/gcd_000b11a_e.zip", destfile="gcd_000b11a_e.zip")
unzip("gcd_000b11a_e.zip")
library(maptools)
canada<-readShapeSpatial("gcd_000b11a_e")
library(GISTools)
CDCenters <- coordinates(canada)
CDCenters <- SpatialPointsDataFrame(coords=canada, data=canada#data,
proj4string=CRS("+proj=longlat +ellps=clrk66"))
CDCenters=data.frame(CDCenters, row.names=NULL , id=CDCenters$CDUID)
canada_map <- merge(CDCenters, map.tourists, by="id")
list <- ls()
list <- list[-grep("canada_map", list)]
rm(list=list)
rm(list)
Sys.setenv(NOAWT=1)
library(OpenStreetMap)
library(rgdal)
library(stringr)
library(ggplot2)
mp <- openmap(c(71, -143), c(40, -50), zoom=4, type="osm",mergeTiles=TRUE)
library(ggplot2)
autoplot(mp) +
geom_point(data=canada_map, alpha = I(8/10), aes(x=coords.x1,y=coords.x2, size=Nb.Touristes, color=Nb.Touristes)) +
theme(axis.line=element_blank(), axis.text.x=element_blank(), axis.text.y=element_blank(), axis.ticks=element_blank(), axis.title.x=element_blank(), axis.title.y=element_blank()) +
scale_size_continuous(range= c(1, 25)) +
scale_colour_gradient(low="blue", high="red") +
labs(title="Nombre de touristes à Montréal en 2010 selon la division de recensement d’origine")
I'd post the image that I get, but I don't have enough reputation yet !
I get two legends, the map is concentrated in the top left corner and all the points seem to be in the bottom right corner...
What can I do?
Thank you!!

Answer 1

I went through your code and did my best to see what is happening here. In short, I would recommend you to use the ggmap package. I am not an expert in GIS, but it seems to me that the map you got (i.e., mp) is not something ggplot likes.
library(maptools)
library(GISTools)
library(ggmap)
library(ggplot2)
### Following the OP here
download.file("http://www12.statcan.gc.ca/census-recensement/2011/geo/bound-limit/files-fichiers/gcd_000b11a_e.zip", destfile="gcd_000b11a_e.zip")
unzip("gcd_000b11a_e.zip")
canada<-readShapeSpatial("gcd_000b11a_e")
CDCenters <- coordinates(canada)
CDCenters <- SpatialPointsDataFrame(coords=canada, data=canada#data,
proj4string=CRS("+proj=longlat +ellps=clrk66"))
CDCenters <- data.frame(CDCenters, row.names=NULL , id=CDCenters$CDUID)
### Tourist data
dat <- structure(list(id = c(1001L, 1004L, 1006L, 1010L, 1102L, 1103L
), Nb.Touristes = c(939.9513, 1273.4336, 776.5203, 3118.4872,
921.7354, 622.877), Nb.Nuitees = c(1879.903, 2546.867, 3882.602,
18598.194, 3971.677, 1245.754)), .Names = c("id", "Nb.Touristes",
"Nb.Nuitees"), class = "data.frame", row.names = c(NA, -6L))
### Merge the map data and tourist data
canada_map <- merge(CDCenters, dat, by="id")
### OK, now I want to get maps in two different ways.
### This is by the OP
mp <- openmap(c(71, -143), c(40, -50), zoom=4, type="osm",mergeTiles=TRUE)
#str(mp)
#List of 2
# $ tiles:List of 1
# ..$ :List of 5
# .. ..$ colorData : chr [1:701964] "#B5D0D0" "#B5D0D0" "#B5D0D0" "#B5D0D0" ...
# .. ..$ bbox :List of 2
# .. .. ..$ p1: num [1:2] -15918687 11402272
# .. .. ..$ p2: num [1:2] -5565975 4865942
# .. ..$ projection:Formal class 'CRS' [package "sp"] with 1 slots
# .. .. .. ..# projargs: chr "+proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=#null +no_defs"
# .. ..$ xres : int 666
# .. ..$ yres : int 1054
# .. ..- attr(*, "class")= chr "osmtile"
# $ bbox :List of 2
# ..$ p1: num [1:2] -15918687 11402272
# ..$ p2: num [1:2] -5565975 4865942
# - attr(*, "zoom")= int 4
# - attr(*, "class")= chr "OpenStreetMap"
Here I do not see lon and lat like 40,50, and 60. This somehow makes me think that ggplot may not like the values.
Here is another map using ggmap When I printed out the image, lon and lat are in numbers I expected.
### Get openstreetmap using ggmap
ca.map2 <- get_openstreetmap(bbox= c(left = -143, bottom = 40, right = -50, top = 71),
scale = 69885283, format = "png")
#str(ca.map2)
#chr [1:334, 1:529] "#B5D0D0" "#B5D0D0" "#B5D0D0" "#B5D0D0" "#B5D0D0" "#B5D0D0" "#B5D0D0" ...
#- attr(*, "class")= chr [1:2] "ggmap" "raster"
#- attr(*, "bb")='data.frame': 1 obs. of 4 variables:
#..$ ll.lat: num 40
#..$ ll.lon: num -143
#..$ ur.lat: num 71
#..$ ur.lon: num -50
So, I am guessing that coords.x1 and coords.x2 in canada_map are probably not matching with the numbers in the object, mp. At least, there is something screwy happening due to the difference in lon and lat values between mp and canada_map. In order to make lon and lat values consistent in your data (canada_map) and a map, I used the ggmap object (ca.map2) and drew a graphic. If you want to have colour and size in one legend this is the way you do it. In summary, you may want to stick to ggmap and ggplot in order to avoid similar problems in the future.
ggmap(ca.map2) +
geom_point(data = canada_map,
aes(x=coords.x1,y=coords.x2, size = Nb.Touristes, color = Nb.Touristes)) +
guides(colour = guide_legend())