Step 1 : Define the icon Step 2. Parse data frame of long and lat Step3 Define the Popups Step 4 Put it together by piping the data to the leaflet object on a tile Note: It will run offline but without a geo plane Challange : Save Street map Geoplane and render the plane cap_Icon<-makeIcon( iconUrl = "C:/RProgram/RWork/leafy.png", iconWidth = 20*1, iconHeight = 20, iconAnchorX =0+1, iconAnchorY = 0+1 ) ##Capsite capSites <-c( " <a href ='http://www.statcan.gc.ca/'><b> Statistics Canada,</b></a> <br>Jean Talon Building 170 Tunney's Pastrure Driveway Ottawa", #.. All thirteen of them in this format) cap_Region<- read_csv("C:/RProgram/RWork/InterestCapRegion.csv") # import csv file with data head(cap_Region) # veiw the data # Leaflet Executes cap_Region %>% leaflet()%>% addTiles()%>%## # Street map addMarkers( icon = cap_Icon,popup = capSites)

#Problem - units - no idea where it got it from ;-( ################ ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) library(readr) library(tmap)# function qtm library(tmaptools) getwd() setwd("C:/RProgram/RWork") #Step 1 myProv <- readOGR(dsn="Prov", layer="provFile") #https://en.wikipedia.org/wiki/Demographics_of_Canada myProvgeo <- read_shape(file= "Prov/provFile.shp", as.sf = TRUE) ProvCenDataC <- read_csv("Prov/ProvCenDataC.csv") # u must order the data myProv.fort <- fortify(myProv, region = "PRUID") # Long time; #creastes more observ. idList <- myProv@data$PRUID centroids.df <- as.data.frame(coordinates(myProv)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names mydataC.df <-data.frame(id=idList, ProvCenDataC, centroids.df) #TRY PLOTTING MAP ################################# #Plotting individual Provincies #qtm(myProv.fort) # Cannot be plotted by qtm selmyProvgeo <- myProvgeo[myProv$PRUID ==10,]# select NewFoundland ########################################### #Make the datatype identical myProvgeo$PRUID <- as.character(myProvgeo$PRUID) mydataC.df$PRUID <- as.character(mydataC.df$PRUID) myProv$PRUID <- as.character(myProv$PRUID) #Order the rows BUt already ordered myProvgeo<- myProvgeo[order(myProvgeo$PRUID),] mydataC.df <- mydataC.df[order(mydataC.df$PRUID),] #Then Compare identical(myProvgeo$PRUID,mydataC.df$PRUID) identical(myProv$PRUID,mydataC.df$PRUID) #Then apppend data provMap <-append_data(myProvgeo, mydataC.df, key.shp ="PRUID", key.data= "PRUID") # not working provMap <-append_data(myProv, mydataC.df, key.shp ="PRUID", key.data= "PRUID") #https://cran.r-project.org/web/packages/tmap/vignettes/tmap-nutshell.html ############ CHOROPLETH PLOT B ############################ #qtm(Europe, fill="well_being", text="iso_a3", text.size="AREA", format="Europe", style="gray", # text.root=5, fill.title="Well-Being Index", fill.textNA="Non-European countries") qtm(provMap, fill="Desity", text="PREABBR", text.root=5, fill.title="People per SqKm")+ tm_legend(legend.position = c("right", "top"), main.title = "Population Density", main.title.position = "right")

#No units ################ ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) library(readr) library(tmap)# function qtm library(tmaptools) getwd() #Step 1 myProv <- readOGR(dsn="Prov", layer="provFile") myProvgeo <- read_shape(file= "Prov/provFile.shp", as.sf = TRUE) ProvCenDataC <- read_csv("Prov/ProvCenDataC.csv") # u must order the data myProv.fort <- fortify(myProv, region = "PRUID") # Long time; #creastes more observ. idList <- myProv@data$PRUID centroids.df <- as.data.frame(coordinates(myProv)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names mydataC.df <-data.frame(id=idList, ProvCenDataC, centroids.df) #TRY PLOTTING MAP ggplot(myProv.fort, aes(long, lat))+ geom_polygon(data= NULL, aes(group = group), colour = 'blue', fill=NA ) + geom_text(data = mydataC.df, aes(Longitude, Latitude, label = Population), size =4, colour ='red') ################################# #Plotting individual Provincies qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProv <- myProv[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProv) #Draw NewFoundland selmyProv <- myProv[myProv$PRUID ==11,]# Prince Edward qtm(selmyProv) #Draw PEI selmyProv <- myProv[myProv$PRUID ==12,]# Nova Scotia qtm(selmyProv) #Draw NSc selmyProv <- myProv[myProv$PRUID ==13,]# New Brunswick qtm(selmyProv) #Draw NB selmyProv <- myProv[myProv$PRUID ==24,]# Qubec qtm(selmyProv) #Draw QC selmyProv <- myProv[myProv$PRUID ==35,]# Ontario qtm(selmyProv) #Draw On selmyProv <- myProv[myProv$PRUID ==46,]# Manitoba qtm(selmyProv) #Draw MB selmyProv <- myProv[myProv$PRUID ==47,]# Saska qtm(selmyProv) #Draw SW selmyProv <- myProv[myProv$PRUID ==48,]# AB qtm(selmyProv) #Draw AB selmyProv <- myProv[myProv$PRUID ==59,]# BC qtm(selmyProv) #Draw BC selmyProv <- myProv[myProv$PRUID ==60,]# YK qtm(selmyProv) #Draw YK selmyProv <- myProv[myProv$PRUID ==61,]# NW qtm(selmyProv) #Draw NW selmyProv <- myProv[myProv$PRUID ==62,]# NT qtm(selmyProv) #Draw NT ############################ qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProvgeo <- myProvgeo[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProvgeo) #Draw NewFoundland ########################################### #Make the datatype identical myProvgeo$PRUID <- as.character(myProvgeo$PRUID) mydataC.df$PRUID <- as.character(mydataC.df$PRUID) myProv$PRUID <- as.character(myProv$PRUID) #Order the rows BUt already ordered myProvgeo<- myProvgeo[order(myProvgeo$PRUID),] mydataC.df <- mydataC.df[order(mydataC.df$PRUID),] #Then Compare identical(myProvgeo$PRUID,mydataC.df$PRUID) identical(myProv$PRUID,mydataC.df$PRUID) #Then apppend data provMap <-append_data(myProvgeo, mydataC.df, key.shp ="PRUID", key.data= "PRUID") # not working provMap <-append_data(myProv, mydataC.df, key.shp ="PRUID", key.data= "PRUID") #https://cran.r-project.org/web/packages/tmap/vignettes/tmap-nutshell.html qtm(provMap, "PRUID",text ="Prop", text.size= "AREA", style="gray", text.root=5, fill.title="Population 2014", fill.textNA="Nothing") #works give strange uniits # qtm(Europe, fill="well_being", text="iso_a3", text.size="AREA", format="Europe", style="gray", # text.root=5, fill.title="Well-Being Index", fill.textNA="Non-European countries") # make a categorical map # qtm(Europe, fill="economy", title=paste("Style:", tmap_style())) qtm(provMap, fill= "Name" ,title=paste("Style:", tmap_style()), fill.title="Population 2014" ,text ="Prop", text.size= "AREA") ## current tmap style is "white" #change Position of Legend qtm(provMap, fill = "economy", format = "World", style = "col_blind") + tm_legend(legend.position = c("left", "bottom"), main.title = "My title", main.title.position = "right") ##### THIS IS THE CODE THAT CREATED PLOT######## qtm(provMap, fill = "Prop", style = "col_blind",text ="PREABBR", text.root=2, text.col = "black", fill.title="%age Pop. 2014") + tm_legend(legend.position = c("right", "top"), main.title = "Percentage of Population", main.title.position = "right")

Lighter is more

Code is in last portion

#Problem - units - no idea where it got it from ;-( ################ ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) library(readr) library(tmap)# function qtm library(tmaptools) getwd() #Step 1 myProv <- readOGR(dsn="Prov", layer="provFile") myProvgeo <- read_shape(file= "Prov/provFile.shp", as.sf = TRUE) ProvCenDataC <- read_csv("Prov/ProvCenDataC.csv") # u must order the data myProv.fort <- fortify(myProv, region = "PRUID") # Long time; #creastes more observ. idList <- myProv@data$PRUID centroids.df <- as.data.frame(coordinates(myProv)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names mydataC.df <-data.frame(id=idList, ProvCenDataC, centroids.df) #TRY PLOTTING MAP ggplot(myProv.fort, aes(long, lat))+ geom_polygon(data= NULL, aes(group = group), colour = 'blue', fill=NA ) + geom_text(data = mydataC.df, aes(Longitude, Latitude, label = Population), size =4, colour ='red') ################################# #Plotting individual Provincies qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProv <- myProv[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProv) #Draw NewFoundland selmyProv <- myProv[myProv$PRUID ==11,]# Prince Edward qtm(selmyProv) #Draw PEI selmyProv <- myProv[myProv$PRUID ==12,]# Nova Scotia qtm(selmyProv) #Draw NSc selmyProv <- myProv[myProv$PRUID ==13,]# New Brunswick qtm(selmyProv) #Draw NB selmyProv <- myProv[myProv$PRUID ==24,]# Qubec qtm(selmyProv) #Draw QC selmyProv <- myProv[myProv$PRUID ==35,]# Ontario qtm(selmyProv) #Draw On selmyProv <- myProv[myProv$PRUID ==46,]# Manitoba qtm(selmyProv) #Draw MB selmyProv <- myProv[myProv$PRUID ==47,]# Saska qtm(selmyProv) #Draw SW selmyProv <- myProv[myProv$PRUID ==48,]# AB qtm(selmyProv) #Draw AB selmyProv <- myProv[myProv$PRUID ==59,]# BC qtm(selmyProv) #Draw BC selmyProv <- myProv[myProv$PRUID ==60,]# YK qtm(selmyProv) #Draw YK selmyProv <- myProv[myProv$PRUID ==61,]# NW qtm(selmyProv) #Draw NW selmyProv <- myProv[myProv$PRUID ==62,]# NT qtm(selmyProv) #Draw NT ############################ qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProvgeo <- myProvgeo[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProvgeo) #Draw NewFoundland ########################################### #Make the datatype identical myProvgeo$PRUID <- as.character(myProvgeo$PRUID) mydataC.df$PRUID <- as.character(mydataC.df$PRUID) myProv$PRUID <- as.character(myProv$PRUID) #Order the rows BUt already ordered myProvgeo<- myProvgeo[order(myProvgeo$PRUID),] mydataC.df <- mydataC.df[order(mydataC.df$PRUID),] #Then Compare identical(myProvgeo$PRUID,mydataC.df$PRUID) identical(myProv$PRUID,mydataC.df$PRUID) #Then apppend data provMap <-append_data(myProvgeo, mydataC.df, key.shp ="PRUID", key.data= "PRUID") # not working provMap <-append_data(myProv, mydataC.df, key.shp ="PRUID", key.data= "PRUID") #https://cran.r-project.org/web/packages/tmap/vignettes/tmap-nutshell.html qtm(provMap, "Population",text ="Prop", text.size= "AREA", style="gray", text.root=5, fill.title="Population 2014", fill.textNA="Nothing") #works give strange uniits # qtm(Europe, fill="well_being", text="iso_a3", text.size="AREA", format="Europe", style="gray", # text.root=5, fill.title="Well-Being Index", fill.textNA="Non-European countries") # make a categorical map # qtm(Europe, fill="economy", title=paste("Style:", tmap_style())) qtm(provMap, fill= "Name" ,title=paste("Style:", tmap_style()), fill.title="Population 2014" ,text ="Prop", text.size= "AREA") ## current tmap style is "white" #change Position of Legend qtm(provMap, fill = "economy", format = "World", style = "col_blind") + tm_legend(legend.position = c("left", "bottom"), main.title = "My title", main.title.position = "right") ##### THIS IS THE CODE THAT CREATED PLOT######## qtm(provMap, fill = "Prop", style = "col_blind",text ="PREABBR", text.root=2, text.col = "black", fill.title="%age Pop. 2014") + tm_legend(legend.position = c("right", "top"), main.title = "Percentage of Population", main.title.position = "right") ############ CHOROPLETH############################ #qtm(Europe, fill="well_being", text="iso_a3", text.size="AREA", format="Europe", style="gray", # text.root=5, fill.title="Well-Being Index", fill.textNA="Non-European countries") qtm(provMap, fill="Prop", text="PREABBR", text.size="AREA", text.root=5, fill.title="Population Proportion", fill.textNA="No value")+ tm_legend(legend.position = c("right", "top"), main.title = "Percentage of Population", main.title.position = "right")

#The plot ############ CHOROPLETH############################ #qtm(Europe, fill="well_being", text="iso_a3", text.size="AREA", format="Europe", style="gray", # text.root=5, fill.title="Well-Being Index", fill.textNA="Non-European countries") qtm(provMap, fill="Prop", text="PREABBR", text.size="AREA", text.root=5, fill.title="Population Proportion", fill.textNA="No value")+ tm_legend(legend.position = c("right", "top"), main.title = "Percentage of Population", main.title.position = "right")

Same code ############ CHOROPLETH############################ #qtm(Europe, fill="well_being", text="iso_a3", text.size="AREA", format="Europe", style="gray", # text.root=5, fill.title="Well-Being Index", fill.textNA="Non-European countries") qtm(provMap, fill="Prop", text="PREABBR", text.size="AREA", text.root=5, fill.title="Population Proportion", fill.textNA="No value")+ tm_legend(legend.position = c("right", "top"), main.title = "Percentage of Population", main.title.position = "right")

#This is not a choropleth #Problem - units - no idea where it got it from ;-( ################ ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) library(readr) library(tmap)# function qtm library(tmaptools) getwd() #Step 1 myProv <- readOGR(dsn="Prov", layer="provFile") myProvgeo <- read_shape(file= "Prov/provFile.shp", as.sf = TRUE) ProvCenDataC <- read_csv("Prov/ProvCenDataC.csv") # u must order the data myProv.fort <- fortify(myProv, region = "PRUID") # Long time; #creastes more observ. idList <- myProv@data$PRUID centroids.df <- as.data.frame(coordinates(myProv)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names mydataC.df <-data.frame(id=idList, ProvCenDataC, centroids.df) #TRY PLOTTING MAP ggplot(myProv.fort, aes(long, lat))+ geom_polygon(data= NULL, aes(group = group), colour = 'blue', fill=NA ) + geom_text(data = mydataC.df, aes(Longitude, Latitude, label = Population), size =4, colour ='red') ################################# #Plotting individual Provincies qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProv <- myProv[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProv) #Draw NewFoundland selmyProv <- myProv[myProv$PRUID ==11,]# Prince Edward qtm(selmyProv) #Draw PEI selmyProv <- myProv[myProv$PRUID ==12,]# Nova Scotia qtm(selmyProv) #Draw NSc selmyProv <- myProv[myProv$PRUID ==13,]# New Brunswick qtm(selmyProv) #Draw NB selmyProv <- myProv[myProv$PRUID ==24,]# Qubec qtm(selmyProv) #Draw QC selmyProv <- myProv[myProv$PRUID ==35,]# Ontario qtm(selmyProv) #Draw On selmyProv <- myProv[myProv$PRUID ==46,]# Manitoba qtm(selmyProv) #Draw MB selmyProv <- myProv[myProv$PRUID ==47,]# Saska qtm(selmyProv) #Draw SW selmyProv <- myProv[myProv$PRUID ==48,]# AB qtm(selmyProv) #Draw AB selmyProv <- myProv[myProv$PRUID ==59,]# BC qtm(selmyProv) #Draw BC selmyProv <- myProv[myProv$PRUID ==60,]# YK qtm(selmyProv) #Draw YK selmyProv <- myProv[myProv$PRUID ==61,]# NW qtm(selmyProv) #Draw NW selmyProv <- myProv[myProv$PRUID ==62,]# NT qtm(selmyProv) #Draw NT ############################ qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProvgeo <- myProvgeo[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProvgeo) #Draw NewFoundland ########################################### #Make the datatype identical myProvgeo$PRUID <- as.character(myProvgeo$PRUID) mydataC.df$PRUID <- as.character(mydataC.df$PRUID) myProv$PRUID <- as.character(myProv$PRUID) #Order the rows BUt already ordered myProvgeo<- myProvgeo[order(myProvgeo$PRUID),] mydataC.df <- mydataC.df[order(mydataC.df$PRUID),] #Then Compare identical(myProvgeo$PRUID,mydataC.df$PRUID) identical(myProv$PRUID,mydataC.df$PRUID) #Then apppend data provMap <-append_data(myProvgeo, mydataC.df, key.shp ="PRUID", key.data= "PRUID") # not working provMap <-append_data(myProv, mydataC.df, key.shp ="PRUID", key.data= "PRUID") #https://cran.r-project.org/web/packages/tmap/vignettes/tmap-nutshell.html qtm(provMap, "Population",text ="Prop", text.size= "AREA", style="gray", text.root=5, fill.title="Population 2014", fill.textNA="Nothing") #works give strange uniits # qtm(Europe, fill="well_being", text="iso_a3", text.size="AREA", format="Europe", style="gray", # text.root=5, fill.title="Well-Being Index", fill.textNA="Non-European countries") # make a categorical map # qtm(Europe, fill="economy", title=paste("Style:", tmap_style())) qtm(provMap, fill= "Name" ,title=paste("Style:", tmap_style()), fill.title="Population 2014" ,text ="Prop", text.size= "AREA") ## current tmap style is "white" #change Position of Legend qtm(provMap, fill = "economy", format = "World", style = "col_blind") + tm_legend(legend.position = c("left", "bottom"), main.title = "My title", main.title.position = "right") ##### THIS IS THE CODE THAT CREATED PLOT######## qtm(provMap, fill = "Prop", style = "col_blind",text ="PREABBR", text.root=2, text.col = "black", fill.title="%age Pop. 2014") + tm_legend(legend.position = c("right", "top"), main.title = "Percentage of Population", main.title.position = "right")

qtm(provMap, fill = "PREABBR", style = "col_blind",text ="Prop", text.root=2, text.col = "black", fill.title="%age Pop. 2014") + tm_legend(legend.position = c("right", "top"), main.title = "My title", main.title.position = "right", "top")

Percentage Population and Province Name

Some provinces have no data

Legend moved showing percentage of population

Legend title Choropleth

# Colorbrewer2.org #Code also shows how to save as jpg ################ ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) library(readr) library(tmap) library(tmaptools) getwd() #Step 1 myProv <- readOGR(dsn="Prov", layer="provFile") myProvgeo <- read_shape(file= "Prov/provFile.shp", as.sf = TRUE) ProvCenDataC <- read_csv("Prov/ProvCenDataC.csv") # u must order the data myProv.fort <- fortify(myProv, region = "PRUID") # Long time; #creastes more observ. idList <- myProv@data$PRUID centroids.df <- as.data.frame(coordinates(myProv)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names mydataC.df <-data.frame(id=idList, ProvCenDataC, centroids.df) #TRY PLOTTING MAP ggplot(myProv.fort, aes(long, lat))+ geom_polygon(data= NULL, aes(group = group), colour = 'blue', fill=NA ) + geom_text(data = mydataC.df, aes(Longitude, Latitude, label = Population), size =4, colour ='red') ################################# qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProv <- myProv[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProv) #Draw NewFoundland selmyProv <- myProv[myProv$PRUID ==11,]# Prince Edward qtm(selmyProv) #Draw PEI selmyProv <- myProv[myProv$PRUID ==12,]# Nova Scotia qtm(selmyProv) #Draw NSc selmyProv <- myProv[myProv$PRUID ==13,]# New Brunswick qtm(selmyProv) #Draw NB selmyProv <- myProv[myProv$PRUID ==24,]# Qubec qtm(selmyProv) #Draw QC selmyProv <- myProv[myProv$PRUID ==35,]# Ontario qtm(selmyProv) #Draw On selmyProv <- myProv[myProv$PRUID ==46,]# Manitoba qtm(selmyProv) #Draw MB selmyProv <- myProv[myProv$PRUID ==47,]# Saska qtm(selmyProv) #Draw SW selmyProv <- myProv[myProv$PRUID ==48,]# AB qtm(selmyProv) #Draw AB selmyProv <- myProv[myProv$PRUID ==59,]# BC qtm(selmyProv) #Draw BC selmyProv <- myProv[myProv$PRUID ==60,]# YK qtm(selmyProv) #Draw YK selmyProv <- myProv[myProv$PRUID ==61,]# NW qtm(selmyProv) #Draw NW selmyProv <- myProv[myProv$PRUID ==62,]# NT qtm(selmyProv) #Draw NT ############################ qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProvgeo <- myProvgeo[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProvgeo) #Draw NewFoundland ########################################### #Make the datatype identical myProvgeo$PRUID <- as.character(myProvgeo$PRUID) mydataC.df$PRUID <- as.character(mydataC.df$PRUID) myProv$PRUID <- as.character(myProv$PRUID) #Order the rows BUt already ordered myProvgeo<- myProvgeo[order(myProvgeo$PRUID),] mydataC.df <- mydataC.df[order(mydataC.df$PRUID),] #Then Compare identical(myProvgeo$PRUID,mydataC.df$PRUID) identical(myProv$PRUID,mydataC.df$PRUID) #nhmap <- append_data(nhgeo, nhdata, key.shp = "NAME", key.data="County") provMapB <-append_data(myProvgeo, mydataC.df, key.shp ="PRUID", key.data= "PRUID") provMap <-append_data(myProv, mydataC.df, key.shp ="PRUID", key.data= "PRUID") qtm(provMapB, "Population") #quick map strange units qtm(provMap, "Prop") #quick map strange units #############MORE CONTROL #################### # tm_shape(provMap) + tm_fill("Prop", title = "Provincial Population", palette ="BuPu") + tm_borders(alpha=.5) + tm_text("Population", size = 0.5)#+ # tm_style_classic() #put plot in variable provMapVari <- tm_shape(provMap) + tm_fill("Growth", title = "Provincial Population", palette = "BuGn") + tm_borders(alpha=.5) + tm_text("Population", size = 0.5)#+ #tm_style_classic() provMapVari #call the plotting variable save_tmap(provMapVari, filename="provMapVari.jpg") # then save the plot

Note Commented Plot ################ ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) library(readr) library(tmap) library(tmaptools) getwd() #Step 1 myProv <- readOGR(dsn="Prov", layer="provFile") myProvgeo <- read_shape(file= "Prov/provFile.shp", as.sf = TRUE) ProvCenDataC <- read_csv("Prov/ProvCenDataC.csv") # u must order the data myProv.fort <- fortify(myProv, region = "PRUID") # Long time; #creastes more observ. idList <- myProv@data$PRUID centroids.df <- as.data.frame(coordinates(myProv)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names mydataC.df <-data.frame(id=idList, ProvCenDataC, centroids.df) #TRY PLOTTING MAP ggplot(myProv.fort, aes(long, lat))+ geom_polygon(data= NULL, aes(group = group), colour = 'blue', fill=NA ) + geom_text(data = mydataC.df, aes(Longitude, Latitude, label = Population), size =4, colour ='red') ################################# qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProv <- myProv[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProv) #Draw NewFoundland selmyProv <- myProv[myProv$PRUID ==11,]# Prince Edward qtm(selmyProv) #Draw PEI selmyProv <- myProv[myProv$PRUID ==12,]# Nova Scotia qtm(selmyProv) #Draw NSc selmyProv <- myProv[myProv$PRUID ==13,]# New Brunswick qtm(selmyProv) #Draw NB selmyProv <- myProv[myProv$PRUID ==24,]# Qubec qtm(selmyProv) #Draw QC selmyProv <- myProv[myProv$PRUID ==35,]# Ontario qtm(selmyProv) #Draw On selmyProv <- myProv[myProv$PRUID ==46,]# Manitoba qtm(selmyProv) #Draw MB selmyProv <- myProv[myProv$PRUID ==47,]# Saska qtm(selmyProv) #Draw SW selmyProv <- myProv[myProv$PRUID ==48,]# AB qtm(selmyProv) #Draw AB selmyProv <- myProv[myProv$PRUID ==59,]# BC qtm(selmyProv) #Draw BC selmyProv <- myProv[myProv$PRUID ==60,]# YK qtm(selmyProv) #Draw YK selmyProv <- myProv[myProv$PRUID ==61,]# NW qtm(selmyProv) #Draw NW selmyProv <- myProv[myProv$PRUID ==62,]# NT qtm(selmyProv) #Draw NT ############################ qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProvgeo <- myProvgeo[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProvgeo) #Draw NewFoundland ########################################### #Make the datatype identical myProvgeo$PRUID <- as.character(myProvgeo$PRUID) mydataC.df$PRUID <- as.character(mydataC.df$PRUID) myProv$PRUID <- as.character(myProv$PRUID) #Order the rows BUt already ordered myProvgeo<- myProvgeo[order(myProvgeo$PRUID),] mydataC.df <- mydataC.df[order(mydataC.df$PRUID),] #Then Compare identical(myProvgeo$PRUID,mydataC.df$PRUID) identical(myProv$PRUID,mydataC.df$PRUID) #nhmap <- append_data(nhgeo, nhdata, key.shp = "NAME", key.data="County") provMapB <-append_data(myProvgeo, mydataC.df, key.shp ="PRUID", key.data= "PRUID") provMap <-append_data(myProv, mydataC.df, key.shp ="PRUID", key.data= "PRUID") qtm(provMapB, "Population") #quick map strange units qtm(provMap, "Prop") #quick map strange units #############MORE CONTROL #################### # tm_shape(provMap) + tm_fill("Prop", title = "Provincial Population", palette ="BuPu") + tm_borders(alpha=.5) + tm_text("Population", size = 0.5)#+ # tm_style_classic()

Links 1.https://neka.shinyapps.io/01_hello/

#Provincial Population is text and Percentage is Color ################ ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) library(readr) library(tmap) library(tmaptools) getwd() #Step 1 myProv <- readOGR(dsn="Prov", layer="provFile") myProvgeo <- read_shape(file= "Prov/provFile.shp", as.sf = TRUE) ProvCenDataC <- read_csv("Prov/ProvCenDataC.csv") # u must order the data myProv.fort <- fortify(myProv, region = "PRUID") # Long time; #creastes more observ. idList <- myProv@data$PRUID centroids.df <- as.data.frame(coordinates(myProv)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names mydataC.df <-data.frame(id=idList, ProvCenDataC, centroids.df) #TRY PLOTTING MAP ggplot(myProv.fort, aes(long, lat))+ geom_polygon(data= NULL, aes(group = group), colour = 'blue', fill=NA ) + geom_text(data = mydataC.df, aes(Longitude, Latitude, label = Population), size =4, colour ='red') ################################# qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProv <- myProv[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProv) #Draw NewFoundland selmyProv <- myProv[myProv$PRUID ==11,]# Prince Edward qtm(selmyProv) #Draw PEI selmyProv <- myProv[myProv$PRUID ==12,]# Nova Scotia qtm(selmyProv) #Draw NSc selmyProv <- myProv[myProv$PRUID ==13,]# New Brunswick qtm(selmyProv) #Draw NB selmyProv <- myProv[myProv$PRUID ==24,]# Qubec qtm(selmyProv) #Draw QC selmyProv <- myProv[myProv$PRUID ==35,]# Ontario qtm(selmyProv) #Draw On selmyProv <- myProv[myProv$PRUID ==46,]# Manitoba qtm(selmyProv) #Draw MB selmyProv <- myProv[myProv$PRUID ==47,]# Saska qtm(selmyProv) #Draw SW selmyProv <- myProv[myProv$PRUID ==48,]# AB qtm(selmyProv) #Draw AB selmyProv <- myProv[myProv$PRUID ==59,]# BC qtm(selmyProv) #Draw BC selmyProv <- myProv[myProv$PRUID ==60,]# YK qtm(selmyProv) #Draw YK selmyProv <- myProv[myProv$PRUID ==61,]# NW qtm(selmyProv) #Draw NW selmyProv <- myProv[myProv$PRUID ==62,]# NT qtm(selmyProv) #Draw NT ############################ qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProvgeo <- myProvgeo[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProvgeo) #Draw NewFoundland ########################################### #Make the datatype identical myProvgeo$PRUID <- as.character(myProvgeo$PRUID) mydataC.df$PRUID <- as.character(mydataC.df$PRUID) myProv$PRUID <- as.character(myProv$PRUID) #Order the rows BUt already ordered myProvgeo<- myProvgeo[order(myProvgeo$PRUID),] mydataC.df <- mydataC.df[order(mydataC.df$PRUID),] #Then Compare identical(myProvgeo$PRUID,mydataC.df$PRUID) identical(myProv$PRUID,mydataC.df$PRUID) #nhmap <- append_data(nhgeo, nhdata, key.shp = "NAME", key.data="County") provMapB <-append_data(myProvgeo, mydataC.df, key.shp ="PRUID", key.data= "PRUID") provMap <-append_data(myProv, mydataC.df, key.shp ="PRUID", key.data= "PRUID") qtm(provMapB, "Population") #quick map strange units qtm(provMap, "Prop") #quick map strange units #############MORE CONTROL #################### tm_shape(provMap) + tm_fill("Prop", title = "Provincial Population", palette = "PRGn") + tm_borders(alpha=.5) + tm_text("Population", size = 0.5)+ tm_style_classic()

################ ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) library(readr) library(tmap) library(tmaptools) getwd() #Step 1 myProv <- readOGR(dsn="Prov", layer="provFile") myProvgeo <- read_shape(file= "Prov/provFile.shp", as.sf = TRUE) ProvCenDataC <- read_csv("Prov/ProvCenDataC.csv") # u must order the data myProv.fort <- fortify(myProv, region = "PRUID") # Long time; #creastes more observ. idList <- myProv@data$PRUID centroids.df <- as.data.frame(coordinates(myProv)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names mydataC.df <-data.frame(id=idList, ProvCenDataC, centroids.df) #TRY PLOTTING MAP ggplot(myProv.fort, aes(long, lat))+ geom_polygon(data= NULL, aes(group = group), colour = 'blue', fill=NA ) + geom_text(data = mydataC.df, aes(Longitude, Latitude, label = Population), size =4, colour ='red') ################################# qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProv <- myProv[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProv) #Draw NewFoundland selmyProv <- myProv[myProv$PRUID ==11,]# Prince Edward qtm(selmyProv) #Draw PEI selmyProv <- myProv[myProv$PRUID ==12,]# Nova Scotia qtm(selmyProv) #Draw NSc selmyProv <- myProv[myProv$PRUID ==13,]# New Brunswick qtm(selmyProv) #Draw NB selmyProv <- myProv[myProv$PRUID ==24,]# Qubec qtm(selmyProv) #Draw QC selmyProv <- myProv[myProv$PRUID ==35,]# Ontario qtm(selmyProv) #Draw On selmyProv <- myProv[myProv$PRUID ==46,]# Manitoba qtm(selmyProv) #Draw MB selmyProv <- myProv[myProv$PRUID ==47,]# Saska qtm(selmyProv) #Draw SW selmyProv <- myProv[myProv$PRUID ==48,]# AB qtm(selmyProv) #Draw AB selmyProv <- myProv[myProv$PRUID ==59,]# BC qtm(selmyProv) #Draw BC selmyProv <- myProv[myProv$PRUID ==60,]# YK qtm(selmyProv) #Draw YK selmyProv <- myProv[myProv$PRUID ==61,]# NW qtm(selmyProv) #Draw NW selmyProv <- myProv[myProv$PRUID ==62,]# NT qtm(selmyProv) #Draw NT ############################ qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProvgeo <- myProvgeo[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProvgeo) #Draw NewFoundland ########################################### #Make the datatype identical myProvgeo$PRUID <- as.character(myProvgeo$PRUID) mydataC.df$PRUID <- as.character(mydataC.df$PRUID) myProv$PRUID <- as.character(myProv$PRUID) #Order the rows BUt already ordered myProvgeo<- myProvgeo[order(myProvgeo$PRUID),] mydataC.df <- mydataC.df[order(mydataC.df$PRUID),] #Then Compare identical(myProvgeo$PRUID,mydataC.df$PRUID) identical(myProv$PRUID,mydataC.df$PRUID) #nhmap <- append_data(nhgeo, nhdata, key.shp = "NAME", key.data="County") provMapB <-append_data(myProvgeo, mydataC.df, key.shp ="PRUID", key.data= "PRUID") provMap <-append_data(myProv, mydataC.df, key.shp ="PRUID", key.data= "PRUID") qtm(provMapB, "Population") #quick map strange units qtm(provMap, "Prop") #quick map strange units #############MORE CONTROL #################### tm_shape(provMap) + tm_fill("Prop", title = "Provincial Population", palette = "RdYlGn") + tm_borders(alpha=.5) + tm_text("Population", size = 0.5)+ tm_style_classic()

#How do i move the legend??? ################ ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) library(readr) library(tmap) library(tmaptools) getwd() #Step 1 myProv <- readOGR(dsn="Prov", layer="provFile") myProvgeo <- read_shape(file= "Prov/provFile.shp", as.sf = TRUE) ProvCenDataC <- read_csv("Prov/ProvCenDataC.csv") # u must order the data myProv.fort <- fortify(myProv, region = "PRUID") # Long time; #creastes more observ. idList <- myProv@data$PRUID centroids.df <- as.data.frame(coordinates(myProv)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names mydataC.df <-data.frame(id=idList, ProvCenDataC, centroids.df) #TRY PLOTTING MAP ggplot(myProv.fort, aes(long, lat))+ geom_polygon(data= NULL, aes(group = group), colour = 'blue', fill=NA ) + geom_text(data = mydataC.df, aes(Longitude, Latitude, label = Population), size =4, colour ='red') ################################# qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProv <- myProv[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProv) #Draw NewFoundland selmyProv <- myProv[myProv$PRUID ==11,]# Prince Edward qtm(selmyProv) #Draw PEI selmyProv <- myProv[myProv$PRUID ==12,]# Nova Scotia qtm(selmyProv) #Draw NSc selmyProv <- myProv[myProv$PRUID ==13,]# New Brunswick qtm(selmyProv) #Draw NB selmyProv <- myProv[myProv$PRUID ==24,]# Qubec qtm(selmyProv) #Draw QC selmyProv <- myProv[myProv$PRUID ==35,]# Ontario qtm(selmyProv) #Draw On selmyProv <- myProv[myProv$PRUID ==46,]# Manitoba qtm(selmyProv) #Draw MB selmyProv <- myProv[myProv$PRUID ==47,]# Saska qtm(selmyProv) #Draw SW selmyProv <- myProv[myProv$PRUID ==48,]# AB qtm(selmyProv) #Draw AB selmyProv <- myProv[myProv$PRUID ==59,]# BC qtm(selmyProv) #Draw BC selmyProv <- myProv[myProv$PRUID ==60,]# YK qtm(selmyProv) #Draw YK selmyProv <- myProv[myProv$PRUID ==61,]# NW qtm(selmyProv) #Draw NW selmyProv <- myProv[myProv$PRUID ==62,]# NT qtm(selmyProv) #Draw NT ############################ qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProvgeo <- myProvgeo[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProvgeo) #Draw NewFoundland ########################################### #Make the datatype identical myProvgeo$PRUID <- as.character(myProvgeo$PRUID) mydataC.df$PRUID <- as.character(mydataC.df$PRUID) myProv$PRUID <- as.character(myProv$PRUID) #Order the rows BUt already ordered myProvgeo<- myProvgeo[order(myProvgeo$PRUID),] mydataC.df <- mydataC.df[order(mydataC.df$PRUID),] #Then Compare identical(myProvgeo$PRUID,mydataC.df$PRUID) identical(myProv$PRUID,mydataC.df$PRUID) #nhmap <- append_data(nhgeo, nhdata, key.shp = "NAME", key.data="County") provMapB <-append_data(myProvgeo, mydataC.df, key.shp ="PRUID", key.data= "PRUID") provMap <-append_data(myProv, mydataC.df, key.shp ="PRUID", key.data= "PRUID") qtm(provMapB, "Population") #quick map strange units qtm(provMap, "Prop") #quick map strange units

No Idea why it is truncated ################ ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) library(readr) library(tmap) library(tmaptools) getwd() #Step 1 myProv <- readOGR(dsn="Prov", layer="provFile") myProvgeo <- read_shape(file= "Prov/provFile.shp", as.sf = TRUE) ProvCenDataC <- read_csv("Prov/ProvCenDataC.csv") # u must order the data myProv.fort <- fortify(myProv, region = "PRUID") # Long time; #creastes more observ. idList <- myProv@data$PRUID centroids.df <- as.data.frame(coordinates(myProv)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names mydataC.df <-data.frame(id=idList, ProvCenDataC, centroids.df) #TRY PLOTTING MAP ggplot(myProv.fort, aes(long, lat))+ geom_polygon(data= NULL, aes(group = group), colour = 'blue', fill=NA ) + geom_text(data = mydataC.df, aes(Longitude, Latitude, label = Population), size =4, colour ='red') ################################# qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProv <- myProv[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProv) #Draw NewFoundland selmyProv <- myProv[myProv$PRUID ==11,]# Prince Edward qtm(selmyProv) #Draw PEI selmyProv <- myProv[myProv$PRUID ==12,]# Nova Scotia qtm(selmyProv) #Draw NSc selmyProv <- myProv[myProv$PRUID ==13,]# New Brunswick qtm(selmyProv) #Draw NB selmyProv <- myProv[myProv$PRUID ==24,]# Qubec qtm(selmyProv) #Draw QC selmyProv <- myProv[myProv$PRUID ==35,]# Ontario qtm(selmyProv) #Draw On selmyProv <- myProv[myProv$PRUID ==46,]# Manitoba qtm(selmyProv) #Draw MB selmyProv <- myProv[myProv$PRUID ==47,]# Saska qtm(selmyProv) #Draw SW selmyProv <- myProv[myProv$PRUID ==48,]# AB qtm(selmyProv) #Draw AB selmyProv <- myProv[myProv$PRUID ==59,]# BC qtm(selmyProv) #Draw BC selmyProv <- myProv[myProv$PRUID ==60,]# YK qtm(selmyProv) #Draw YK selmyProv <- myProv[myProv$PRUID ==61,]# NW qtm(selmyProv) #Draw NW selmyProv <- myProv[myProv$PRUID ==62,]# NT qtm(selmyProv) #Draw NT ############################ qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProvgeo <- myProvgeo[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProvgeo) #Draw NewFoundland ########################################### #Make the datatype identical myProvgeo$PRUID <- as.character(myProvgeo$PRUID) mydataC.df$PRUID <- as.character(mydataC.df$PRUID) myProv$PRUID <- as.character(myProv$PRUID) #Order the rows BUt already ordered myProvgeo<- myProvgeo[order(myProvgeo$PRUID),] mydataC.df <- mydataC.df[order(mydataC.df$PRUID),] #Then Compare identical(myProvgeo$PRUID,mydataC.df$PRUID) identical(myProv$PRUID,mydataC.df$PRUID) #nhmap <- append_data(nhgeo, nhdata, key.shp = "NAME", key.data="County") provMap <-append_data(myProvgeo, mydataC.df, key.shp ="PRUID", key.data= "PRUID") provMap <-append_data(myProv, mydataC.df, key.shp ="PRUID", key.data= "PRUID") qtm(provMap, "Population") #quick map strange units qtm(provMap, "Prop") #quick map strange units

No idea where units are coming from Need more packages ################ ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) library(readr) library(tmap) library(tmaptools) getwd() #Step 1 myProv <- readOGR(dsn="Prov", layer="provFile") myProvgeo <- read_shape(file= "Prov/provFile.shp", as.sf = TRUE) ProvCenDataC <- read_csv("Prov/ProvCenDataC.csv") # u must order the data myProv.fort <- fortify(myProv, region = "PRUID") # Long time; #creastes more observ. idList <- myProv@data$PRUID centroids.df <- as.data.frame(coordinates(myProv)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names mydataC.df <-data.frame(id=idList, ProvCenDataC, centroids.df) #TRY PLOTTING MAP ggplot(myProv.fort, aes(long, lat))+ geom_polygon(data= NULL, aes(group = group), colour = 'blue', fill=NA ) + geom_text(data = mydataC.df, aes(Longitude, Latitude, label = Population), size =4, colour ='red') ################################# qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProv <- myProv[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProv) #Draw NewFoundland selmyProv <- myProv[myProv$PRUID ==11,]# Prince Edward qtm(selmyProv) #Draw PEI selmyProv <- myProv[myProv$PRUID ==12,]# Nova Scotia qtm(selmyProv) #Draw NSc selmyProv <- myProv[myProv$PRUID ==13,]# New Brunswick qtm(selmyProv) #Draw NB selmyProv <- myProv[myProv$PRUID ==24,]# Qubec qtm(selmyProv) #Draw QC selmyProv <- myProv[myProv$PRUID ==35,]# Ontario qtm(selmyProv) #Draw On selmyProv <- myProv[myProv$PRUID ==46,]# Manitoba qtm(selmyProv) #Draw MB selmyProv <- myProv[myProv$PRUID ==47,]# Saska qtm(selmyProv) #Draw SW selmyProv <- myProv[myProv$PRUID ==48,]# AB qtm(selmyProv) #Draw AB selmyProv <- myProv[myProv$PRUID ==59,]# BC qtm(selmyProv) #Draw BC selmyProv <- myProv[myProv$PRUID ==60,]# YK qtm(selmyProv) #Draw YK selmyProv <- myProv[myProv$PRUID ==61,]# NW qtm(selmyProv) #Draw NW selmyProv <- myProv[myProv$PRUID ==62,]# NT qtm(selmyProv) #Draw NT ############################ qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProvgeo <- myProvgeo[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProvgeo) #Draw NewFoundland ########################################### #Make the datatype identical myProvgeo$PRUID <- as.character(myProvgeo$PRUID) mydataC.df$PRUID <- as.character(mydataC.df$PRUID) myProv$PRUID <- as.character(myProv$PRUID) #Order the rows BUt already ordered myProvgeo<- myProvgeo[order(myProvgeo$PRUID),] mydataC.df <- mydataC.df[order(mydataC.df$PRUID),] #Then Compare identical(myProvgeo$PRUID,mydataC.df$PRUID) identical(myProv$PRUID,mydataC.df$PRUID) #nhmap <- append_data(nhgeo, nhdata, key.shp = "NAME", key.data="County") provMap <-append_data(myProvgeo, mydataC.df, key.shp ="PRUID", key.data= "PRUID") provMap <-append_data(myProv, mydataC.df, key.shp ="PRUID", key.data= "PRUID") qtm(provMap, "Population") #quick map strange units qtm(provMap, "Prop") #quick map strange units

Problem - units - no idea where it got it from ;-( ################ ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) library(readr) library(tmap) library(tmaptools) getwd() #Step 1 myProv <- readOGR(dsn="Prov", layer="provFile") myProvgeo <- read_shape(file= "Prov/provFile.shp", as.sf = TRUE) ProvCenDataC <- read_csv("Prov/ProvCenDataC.csv") # u must order the data myProv.fort <- fortify(myProv, region = "PRUID") # Long time; #creastes more observ. idList <- myProv@data$PRUID centroids.df <- as.data.frame(coordinates(myProv)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names mydataC.df <-data.frame(id=idList, ProvCenDataC, centroids.df) #TRY PLOTTING MAP ggplot(myProv.fort, aes(long, lat))+ geom_polygon(data= NULL, aes(group = group), colour = 'blue', fill=NA ) + geom_text(data = mydataC.df, aes(Longitude, Latitude, label = Population), size =4, colour ='red') ################################# #Plotting individual Provincies qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProv <- myProv[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProv) #Draw NewFoundland selmyProv <- myProv[myProv$PRUID ==11,]# Prince Edward qtm(selmyProv) #Draw PEI selmyProv <- myProv[myProv$PRUID ==12,]# Nova Scotia qtm(selmyProv) #Draw NSc selmyProv <- myProv[myProv$PRUID ==13,]# New Brunswick qtm(selmyProv) #Draw NB selmyProv <- myProv[myProv$PRUID ==24,]# Qubec qtm(selmyProv) #Draw QC selmyProv <- myProv[myProv$PRUID ==35,]# Ontario qtm(selmyProv) #Draw On selmyProv <- myProv[myProv$PRUID ==46,]# Manitoba qtm(selmyProv) #Draw MB selmyProv <- myProv[myProv$PRUID ==47,]# Saska qtm(selmyProv) #Draw SW selmyProv <- myProv[myProv$PRUID ==48,]# AB qtm(selmyProv) #Draw AB selmyProv <- myProv[myProv$PRUID ==59,]# BC qtm(selmyProv) #Draw BC selmyProv <- myProv[myProv$PRUID ==60,]# YK qtm(selmyProv) #Draw YK selmyProv <- myProv[myProv$PRUID ==61,]# NW qtm(selmyProv) #Draw NW selmyProv <- myProv[myProv$PRUID ==62,]# NT qtm(selmyProv) #Draw NT ############################ qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProvgeo <- myProvgeo[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProvgeo) #Draw NewFoundland ########################################### #Make the datatype identical myProvgeo$PRUID <- as.character(myProvgeo$PRUID) mydataC.df$PRUID <- as.character(mydataC.df$PRUID) myProv$PRUID <- as.character(myProv$PRUID) #Order the rows BUt already ordered myProvgeo<- myProvgeo[order(myProvgeo$PRUID),] mydataC.df <- mydataC.df[order(mydataC.df$PRUID),] #Then Compare identical(myProvgeo$PRUID,mydataC.df$PRUID) identical(myProv$PRUID,mydataC.df$PRUID) #Then apppend data provMap <-append_data(myProvgeo, mydataC.df, key.shp ="PRUID", key.data= "PRUID") # not working provMap <-append_data(myProv, mydataC.df, key.shp ="PRUID", key.data= "PRUID") qtm(provMap, "Population") #works give strange uniits

################ ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) library(readr) library(tmap) getwd() #Step 1 myProv <- readOGR(dsn="Prov", layer="provFile") myProvgeo <- read_shape(file= "Prov/provFile.shp", as.sf = TRUE) ProvCenDataC <- read_csv("Prov/ProvCenDataC.csv") # u must order the data myProv.fort <- fortify(myProv, region = "PRUID") # Long time; #creastes more observ. idList <- myProv@data$PRUID centroids.df <- as.data.frame(coordinates(myProv)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names mydataC.df <-data.frame(id=idList, ProvCenDataC, centroids.df) #TRY PLOTTING MAP ggplot(myProv.fort, aes(long, lat))+ geom_polygon(data= NULL, aes(group = group), colour = 'blue', fill=NA ) + geom_text(data = mydataC.df, aes(Longitude, Latitude, label = Population), size =4, colour ='red') ################################# qtm(myProv) #produces map qtm(myProvgeo) # produces a map #qtm(myProv.fort) # Cannot be plotted by qtm selmyProv <- myProv[myProv$PRUID ==10,]# select NewFoundland qtm(selmyProv) #Draw NewFoundland selmyProv <- myProv[myProv$PRUID ==11,]# Prince Edward qtm(selmyProv) #Draw PEI selmyProv <- myProv[myProv$PRUID ==12,]# Nova Scotia qtm(selmyProv) #Draw NSc selmyProv <- myProv[myProv$PRUID ==13,]# New Brunswick qtm(selmyProv) #Draw NB selmyProv <- myProv[myProv$PRUID ==24,]# Qubec qtm(selmyProv) #Draw QC selmyProv <- myProv[myProv$PRUID ==35,]# Ontario qtm(selmyProv) #Draw On selmyProv <- myProv[myProv$PRUID ==46,]# Manitoba qtm(selmyProv) #Draw MB selmyProv <- myProv[myProv$PRUID ==47,]# Saska qtm(selmyProv) #Draw SW selmyProv <- myProv[myProv$PRUID ==48,]# AB qtm(selmyProv) #Draw AB selmyProv <- myProv[myProv$PRUID ==59,]# BC qtm(selmyProv) #Draw BC selmyProv <- myProv[myProv$PRUID ==60,]# YK qtm(selmyProv) #Draw YK selmyProv <- myProv[myProv$PRUID ==61,]# NW qtm(selmyProv) #Draw NW selmyProv <- myProv[myProv$PRUID ==62,]# NT qtm(selmyProv) #Draw NT

# This also produces a shape file myProvgeo <- read_shape(file= "Prov/provFile.shp", as.sf = TRUE) qtm(myProvgeo) #this makes a shape file that produces a map

USing Subset of World map

## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) library(readr) getwd() ##Steps #1. Read shapefie -- sahpe file-- xD #2. Fortify Shape file name using .fort - table - 2d #3. Get ID list from data portion -- file 1D #4. Get Centroids and name it -- 2D #5. Get Data from @Data$Col of Interest ---file 1D #6. Combine and rename id, center and data (pop) -- 2D #7. Plot the stupid map already ## #Step 1 myProv <- readOGR(dsn="Prov", layer="provFile") #Step2 # Change "data" to your path in the above! myProv.fort <- fortify(myProv, region = "PRUID") # Long time; #creastes more observ. # Fortifying a map makes the data frame ggplot uses to draw the map outlines. # "region" or "id" identifies those polygons, and links them to your data. # Look at head(worldMap@data) to see other choices for id. # Your data frame needs a column with matching ids to set as the map_id aesthetic in ggplot. #Step 1B - Data file #Source https://en.wikipedia.org/wiki/List_of_Canadian_provinces_and_territories_by_population # Format to clean and save as csv; Note use text to column under data to split column ProvCenDataC <- read_csv("Prov/ProvCenDataC.csv") # u must order the data # Step 3 Create ID column idList <- myProv@data$PRUID #Step 4 - Get Centroids; name columns # "coordinates" extracts centroids of the polygons, in the order listed at worldMap@data centroids.df <- as.data.frame(coordinates(myProv)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names #Step 5 - Assemble Data # This shapefile contained population data, let's plot it. mydataC.df <-data.frame(id=idList, ProvCenDataC, centroids.df) #TRY PLOTTING MAP ggplot(myProv.fort, aes(long, lat))+ geom_polygon(data= NULL, aes(group = group), colour = 'blue', fill=NA ) + geom_text(data = mydataC.df, aes(Longitude, Latitude, label = Population), size =4, colour ='red')

#Size = size of font ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) library(readr) getwd() ##Steps #1. Read shapefie -- sahpe file-- xD #2. Fortify Shape file name using .fort - table - 2d #3. Get ID list from data portion -- file 1D #4. Get Centroids and name it -- 2D #5. Get Data from @Data$Col of Interest ---file 1D #6. Combine and rename id, center and data (pop) -- 2D #7. Plot the stupid map already ## #Step 1 myProv <- readOGR(dsn="Prov", layer="provFile") #Step2 # Change "data" to your path in the above! myProv.fort <- fortify(myProv, region = "PRUID") # Long time; #creastes more observ. # Fortifying a map makes the data frame ggplot uses to draw the map outlines. # "region" or "id" identifies those polygons, and links them to your data. # Look at head(worldMap@data) to see other choices for id. # Your data frame needs a column with matching ids to set as the map_id aesthetic in ggplot. #Step 1B - Data file #Source https://en.wikipedia.org/wiki/List_of_Canadian_provinces_and_territories_by_population # Format to clean and save as csv; Note use text to column under data to split column #ProvCenData <- read_csv("ProvCenData.csv") ProvCenData <- read_csv("Prov/ProvCenData.csv")# unordered ProvCenDataB <- read_csv("Prov/ProvCenDataB.csv") # u must order the data ProvCenDataC <- read_csv("Prov/ProvCenDataC.csv") # u must order the data # Step 3 Create ID column idList <- myProv@data$PRUID #Step 4 - Get Centroids; name columns # "coordinates" extracts centroids of the polygons, in the order listed at worldMap@data centroids.df <- as.data.frame(coordinates(myProv)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names #Step 5 - Assemble Data # This shapefile contained population data, let's plot it. #popList <- worldMap@data$POP2005 #pop.df <- data.frame(id = idList, population = popList, centroids.df) mydata.df <-data.frame(id=idList, ProvCenData, centroids.df) mydataC.df <-data.frame(id=idList, ProvCenDataC, centroids.df) #TRY PLOTTING MAP ggplot(myProv.fort, aes(long, lat))+ geom_polygon(aes(group = group), colour = 'blue', fill=NA ) + geom_text(data = mydataC.df, aes(Longitude, Latitude, label = Population), size =2)

The code works The rest is to figure aesthetics

Table still showing

# Trying this https://stackoverflow.com/questions/22038640/labeling-center-of-map-polygons-in-r-ggplot ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) ##Steps #1. Read shapefie -- sahpe file-- xD #2. Fortify Shape file name using .fort - table - 2d #3. Get ID list from data portion -- file 1D #4. Get Centroids and name it -- 2D #5. Get Data from @Data$Col of Interest ---file 1D #6. Combine and rename id, center and data (pop) -- 2D #7. Plot the stupid map already ## # Data from http://thematicmapping.org/downloads/world_borders.php. # Direct link: http://thematicmapping.org/downloads/TM_WORLD_BORDERS_SIMPL-0.3.zip # Unpack and put the files in a dir 'data' worldMap <- readOGR(dsn="data", layer="TM_WORLD_BORDERS_SIMPL-0.3") # Change "data" to your path in the above! worldMap.fort <- fortify(world.map, region = "ISO3") # Fortifying a map makes the data frame ggplot uses to draw the map outlines. # "region" or "id" identifies those polygons, and links them to your data. # Look at head(worldMap@data) to see other choices for id. # Your data frame needs a column with matching ids to set as the map_id aesthetic in ggplot. idList <- worldMap@data$ISO3 # "coordinates" extracts centroids of the polygons, in the order listed at worldMap@data centroids.df <- as.data.frame(coordinates(worldMap)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names # This shapefile contained population data, let's plot it. popList <- worldMap@data$POP2005 pop.df <- data.frame(id = idList, population = popList, centroids.df) #TRY PLOTTING MAP ggplot(worldMap.fort, aes(long, lat))+ geom_polygon(aes(group = group), colour = 'black', fill=NA ) + geom_text(data = pop.df, aes(Longitude, Latitude, label = population), size =2)+ coord_equal(xlim = c(-90,-30), ylim = c(-60, 10))

What is here

# Trying this https://stackoverflow.com/questions/22038640/labeling-center-of-map-polygons-in-r-ggplot ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) ##Steps #1. Read shapefie -- sahpe file-- xD #2. Fortify Shape file name using .fort - table - 2d #3. Get ID list from data portion -- file 1D #4. Get Centroids and name it -- 2D #5. Get Data from @Data$Col of Interest ---file 1D #6. Combine and rename id, center and data (pop) -- 2D #7. Plot the stupid map already ## # Data from http://thematicmapping.org/downloads/world_borders.php. # Direct link: http://thematicmapping.org/downloads/TM_WORLD_BORDERS_SIMPL-0.3.zip # Unpack and put the files in a dir 'data' worldMap <- readOGR(dsn="data", layer="TM_WORLD_BORDERS_SIMPL-0.3") # Change "data" to your path in the above! worldMap.fort <- fortify(world.map, region = "ISO3") # Fortifying a map makes the data frame ggplot uses to draw the map outlines. # "region" or "id" identifies those polygons, and links them to your data. # Look at head(worldMap@data) to see other choices for id. # Your data frame needs a column with matching ids to set as the map_id aesthetic in ggplot. idList <- worldMap@data$ISO3 # "coordinates" extracts centroids of the polygons, in the order listed at worldMap@data centroids.df <- as.data.frame(coordinates(worldMap)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names # This shapefile contained population data, let's plot it. popList <- worldMap@data$POP2005 pop.df <- data.frame(id = idList, population = popList, centroids.df) #TRY PLOTTING MAP ggplot(worldMap.fort, aes(long, lat))+ geom_polygon(aes(group = group), colour = 'black', fill=NA ) + geom_text(data = pop.df, aes(Longitude, Latitude, label = population), size =2)

Take away - we can control text layer - but not pretty :-) ### # Trying this https://stackoverflow.com/questions/22038640/labeling-center-of-map-polygons-in-r-ggplot ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) ##Steps #1. Read shapefie -- sahpe file-- xD #2. Fortify Shape file name using .fort - table - 2d #3. Get ID list from data portion -- file 1D #4. Get Centroids and name it -- 2D #5. Get Data from @Data$Col of Interest ---file 1D #6. Combine and rename id, center and data (pop) -- 2D #7. Plot the stupid map already ## # Data from http://thematicmapping.org/downloads/world_borders.php. # Direct link: http://thematicmapping.org/downloads/TM_WORLD_BORDERS_SIMPL-0.3.zip # Unpack and put the files in a dir 'data' worldMap <- readOGR(dsn="data", layer="TM_WORLD_BORDERS_SIMPL-0.3") # Change "data" to your path in the above! worldMap.fort <- fortify(world.map, region = "ISO3") # Fortifying a map makes the data frame ggplot uses to draw the map outlines. # "region" or "id" identifies those polygons, and links them to your data. # Look at head(worldMap@data) to see other choices for id. # Your data frame needs a column with matching ids to set as the map_id aesthetic in ggplot. idList <- worldMap@data$ISO3 # "coordinates" extracts centroids of the polygons, in the order listed at worldMap@data centroids.df <- as.data.frame(coordinates(worldMap)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names # This shapefile contained population data, let's plot it. popList <- worldMap@data$POP2005 pop.df <- data.frame(id = idList, population = popList, centroids.df) #TRY PLOTTING MAP ggplot(worldMap.fort, aes(long, lat))+ geom_polygon(aes(group = group), colour = 'black', fill= NA ) + geom_text(data = pop.df, aes(Longitude, Latitude, label = id), size =2)

# Trying this https://stackoverflow.com/questions/22038640/labeling-center-of-map-polygons-in-r-ggplot ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) ##Steps #1. Read shapefie -- sahpe file-- xD #2. Fortify Shape file name using .fort - table - 2d #3. Get ID list from data portion -- file 1D #4. Get Centroids and name it -- 2D #5. Get Data from @Data$Col of Interest ---file 1D #6. Combine and rename id, center and data (pop) -- 2D #7. Plot the stupid map already ## # Data from http://thematicmapping.org/downloads/world_borders.php. # Direct link: http://thematicmapping.org/downloads/TM_WORLD_BORDERS_SIMPL-0.3.zip # Unpack and put the files in a dir 'data' worldMap <- readOGR(dsn="data", layer="TM_WORLD_BORDERS_SIMPL-0.3") # Change "data" to your path in the above! worldMap.fort <- fortify(world.map, region = "ISO3") # Fortifying a map makes the data frame ggplot uses to draw the map outlines. # "region" or "id" identifies those polygons, and links them to your data. # Look at head(worldMap@data) to see other choices for id. # Your data frame needs a column with matching ids to set as the map_id aesthetic in ggplot. idList <- worldMap@data$ISO3 # "coordinates" extracts centroids of the polygons, in the order listed at worldMap@data centroids.df <- as.data.frame(coordinates(worldMap)) names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names # This shapefile contained population data, let's plot it. popList <- worldMap@data$POP2005 pop.df <- data.frame(id = idList, population = popList, centroids.df) #TRY PLOTTING MAP ggplot(worldMap.fort, aes(long, lat))+ geom_polygon(aes(group = group), colour = 'black', fil=id ) + geom_text(data = pop.df, aes(Longitude, Latitude, label = id), size =2)

# Trying this https://stackoverflow.com/questions/22038640/labeling-center-of-map-polygons-in-r-ggplot ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) setwd("c:/RProgram/RWork") getwd() #Data Source #http://thematicmapping.org/downloads/TM_WORLD_BORDERS_SIMPL-0.3.zip #Read data worldMap <- readOGR(dsn="worldBorderData", layer="TM_WORLD_BORDERS_SIMPL-0.3") #View Data - notice same foramt as prov& Terr; 256 vs 13 observiations #also noticed that the population was in the file head(worldMap@data) worldMap@data[200:250,] # look at a range of rows worldMap.fort <- fortify(worldMap, region = "ISO3") #region is a column in the data secition idList <- worldMap@data$ISO3 centroids.df <- as.data.frame(coordinates(worldMap)) #get center we did that names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names # This shapefile contained population data, let's plot it. popList <- worldMap@data$POP2005 pop.df <- data.frame(id = idList, population = popList, centroids.df) worldmapPlot <- ggplot(data = worldMap.fort, aes(x=long, y=lat, fill =id, group = group)) #"id" is col in your df, not in the map object worldmapPlot <- worldmapPlot + geom_polygon(aes(fill=id, group =id)) worldmapPlot

Changes Made to Code # Trying this https://stackoverflow.com/questions/22038640/labeling-center-of-map-polygons-in-r-ggplot ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) setwd("c:/RProgram/RWork") getwd() #Data Source #http://thematicmapping.org/downloads/TM_WORLD_BORDERS_SIMPL-0.3.zip #Read data worldMap <- readOGR(dsn="worldBorderData", layer="TM_WORLD_BORDERS_SIMPL-0.3") #View Data - notice same foramt as prov& Terr; 256 vs 13 observiations #also noticed that the population was in the file head(worldMap@data) worldMap@data[200:250,] # look at a range of rows worldMap.fort <- fortify(worldMap, region = "ISO3") #region is a column in the data secition idList <- worldMap@data$ISO3 centroids.df <- as.data.frame(coordinates(worldMap)) #get center we did that names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names # This shapefile contained population data, let's plot it. popList <- worldMap@data$POP2005 pop.df <- data.frame(id = idList, population = popList, centroids.df) worldmapPlot <- ggplot(worldMap.fort, aes(x=long, y=lat, fill =id, group = group)) #"id" is col in your df, not in the map object worldmapPlot <- worldmapPlot + geom_polygon worldmapPlot <- worldmapPlot + geom_text(data = centroids.df, aes(label = id, x = Longitude, y = Latitude)) #add labels at centroids worldmapPlot <- worldmapPlot + worldmapPlot <- worldmapPlot + theme_bw() worldmapPlot

Take away Fortify Data table # Trying this Borrowed Code #https://stackoverflow.com/questions/22038640/labeling-center-of-map-polygons-in-r-ggplot ## Loading packages library(rgdal) library(plyr) library(rgeos) library(maps) library(maptools) library(mapdata) library(ggplot2) library(RColorBrewer) library(foreign) library(sp) library(scales) setwd("c:/RProgram/RWork") getwd() #Data Source #http://thematicmapping.org/downloads/TM_WORLD_BORDERS_SIMPL-0.3.zip #Read data worldMap <- readOGR(dsn="worldBorderData", layer="TM_WORLD_BORDERS_SIMPL-0.3") #View Data - notice same foramt as prov& Terr; 256 vs 13 observiations #also noticed that the population was in the file head(worldMap@data) worldMap@data[200:250,] # look at a range of rows worldMap.fort <- fortify(worldMap, region = "ISO3") #region is a column in the data secition idList <- worldMap@data$ISO3 centroids.df <- as.data.frame(coordinates(worldMap)) #get center we did that names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names # This shapefile contained population data, let's plot it. popList <- worldMap@data$POP2005 pop.df <- data.frame(id = idList, population = popList, centroids.df) worldmapPlot <- ggplot(pop.df, aes(map_id = id)) #"id" is col in your df, not in the map object worldmapPlot <- worldmapPlot + geom_map(aes(fill = population), colour= "grey", map = worldMap.fort) worldmapPlot <- worldmapPlot + expand_limits(x = worldMap.fort$long, y = worldMap.fort$lat) #worldmapPlot <- worldmapPlot + scale_fill_gradient(high = "red", low = "white", guide = "colorbar", labels = comma) worldmapPlot <- worldmapPlot + geom_text(aes(label = id, x = Longitude, y = Latitude)) #add labels at centroids worldmapPlot <- worldmapPlot + coord_equal(xlim = c(-90,-30), ylim = c(-60, 20)) #let's view South America worldmapPlot <- worldmapPlot + labs(x = "Longitude", y = "Latitude", title = "World Population") worldmapPlot <- worldmapPlot + theme_bw() worldmapPlot

Selective Plotting

First plot from tutorial

Third Map

The first PLot

Second plot