Pardon, mistakenly hit reply instead of reply-all. Thanks for taking interest
I can’t figure out how to merge my collected data into the shapefile without first changing it to a df. Is there something simple I am missing? I will read up on tmap in greater detail asap, but if there is a simple solution to getting the data into the shape file and plotting with data labels please let me know. Cheers On Mar 19, 2018, 12:40 PM -0400, Roger Bivand <roger.biv...@nhh.no>, wrote: > On Mon, 19 Mar 2018, Kenneth Dyson wrote: > > > Reffered here from the R-Help mailing list: > > > > I am having trouble getting data labels to display over the provinces in > > a GADM map of Canada. Specifically, I need the variable "Number" from > > the data set "by_province", grouped by "region", to appear on the > > corresponding regions of the map. > > You are making life unnecessarily difficult. Use the tmap package instead, > see for example: > > https://www.johnmackintosh.com/2017-09-01-easy-maps-with-tmap/ > > using the sf representation and forgetting ggplot2 (the development > version supports geom_sf, but hasn't been released). > > Roger > > > > > The data set "by_province" looks like this: > > > > long lat order hole piece region > > group Number > > -110.37074 60.00006 1 FALSE 1 Alberta > > Alberta.1 132 > > -110.36250 60.00006 2 FALSE 1 Alberta > > Alberta.1 132 > > -110.35103 60.00006 3 FALSE 1 Alberta > > Alberta.1 132 > > > > and the data set "tract" is the map data without the "Number" variable. > > > > I looked into working this out from by researching the geom_map function > > here: http://ggplot2.tidyverse.org/reference/geom_map.html > > > > my code looks like this: > > # get the raw map data > > can_map <- getData('GADM', country = "CAN", level = 1) # download map level > > with provinces > > tract <- fortify(can_map, region = "NAME_1") # transforms data from > > shapefiles into a dataframe that ggplot can understand, from > > http://www.kevjohnson.org/making-maps-in-r/ > > > > # create subsets of the kcj data if needed, for example by year > > kids_data_2017 <- subset(kids_data, year == 2017) # data for the year 2017 > > kids_data_2018 <- subset(kids_data, year == 2018) # data for the year 2018 > > > > # extract the needed data > > kids_province_data <- > > data.table::data.table(kids_data_2017$Province_Territory__c, > > kids_data_2017$Number_of_kids__c) > > names(kids_province_data)[1] <- "Province" > > names(kids_province_data)[2] <- "Number" > > > > # sum the data by province > > kids_province_sums <- aggregate(.~Province, data = kids_province_data, sum) > > > > # join the data to the map > > names(tract)[6] <- "region" > > names(kids_province_sums)[1] <- "region" > > by_province <- left_join(tract, kids_province_sums) > > > > # create the data map > > kids_map <- ggplot(by_province, aes(map_id = region)) + #plots > > the map in by_province separating by region > > geom_map(aes(fill = Number), > > #generates aestheticsa for the plot > > map = tract, > > #takes the data from tract > > color = "#ffffff", > > #makes the color of the borders between regions white > > size = 0.15) + > > #sets the thickness of the boarder lines > > coord_map("polyconic") + #sets > > the coordinates to polyconic (rounded lat and long) > > scale_fill_gradient(name = "Children Reached", #sets > > the gradient of the value scale: names the scale > > low = grey_2, > > #color of the low end > > high = orange_1) + > > #color of the high end > > expand_limits(x = tract$long, #ensure > > limits include all values for all plots > > y = tract$lat) + > > labs(x = NULL, #add > > labels, no x title > > y = NULL, #no > > y title > > title = "Number of Children Reached by Province", > > #map title > > subtitle = "2017") + > > #map subtitle > > geom_text(data = by_province, #add a > > text layer > > aes(long, > > #aethetics for the text, x axis > > lat, > > #y axis > > label = Number, > > #the value to display > > size=3)) + > > #size of the text > > theme(axis.ticks = element_blank(), #theme > > of the graph, no axis ticks > > axis.text = element_blank(), #no > > axis text > > panel.background = element_blank(), > > #blank background > > panel.border = element_blank()) > > #blank border > > > > # save as png > > ggsave(kids_map, file = "kids_map.png", width = 6, height = 4.5, type = > > "cairo-png”) > > > > > > I have asked this question on stack overflow, and was refered to this > > answer: > > https://stackoverflow.com/questions/9441436/ggplot-centered-names-on-a-map > > > > The solution there did not fix my problem, though it did get me closer. > > The solution on that post is using a single vector of labels. > > > > My post on stackoverflow has images of my output: > > https://stackoverflow.com/questions/49118323/labelling-a-map-plotted-with-geom-map > > > > [[alternative HTML version deleted]] > > > > _______________________________________________ > > R-sig-Geo mailing list > > R-sig-Geo@r-project.org > > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > > > > -- > Roger Bivand > Department of Economics, Norwegian School of Economics, > Helleveien 30, N-5045 Bergen, Norway. > voice: +47 55 95 93 55; e-mail: roger.biv...@nhh.no > http://orcid.org/0000-0003-2392-6140 > https://scholar.google.no/citations?user=AWeghB0AAAAJ&hl=en [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
