Get access to all lessons in this course.
- Welcome to Mapping with R (01_01)
-
Geospatial Data
- Making Maps is Complex (01_02)
- mapview for Quick Maps (01_03)
- sf for Simple Features (01_04)
- Turning Data Frames into sf Objects (01_05)
- Importing Shapefiles (01_06)
- Joining Geospatial Datasets (01_07)
- Disambiguating Country Names (01_08)
- Converting Addresses to Coordinates (01_09)
- U.S.-Specific Datasets (01_10)
- Advice on Finding International Datasets (01_11)
- CRS and Projections: Geographic and Projected CRS (01_12)
- CRS and Projections: How to Choose a CRS (01_13)
- Introducing Raster GIS with raster and stars (01_14)
- Basics of Using the raster Package (01_15)
-
Static Maps
- ggplot2 Essentials (02_01)
- Starting a Map in ggplot2 (02_02)
- Labelling ggplot2 Maps (02_03)
- Compare Locations/Events with Geobubble Charts (02_04)
- Highlight a Region in a Country with ggplot2 (02_05)
- Make a Choropleth Map of Discrete Variables with ggplot2 (02_06)
- Make a Choropleth Map of Continuous Variables with ggplot2 (02_07)
- Faceting Choropleth Maps with ggplot2 (02_08)
- Visualize Raster Data with ggplot2 (02_09)
- Adding Scale Bars and North Arrows with ggplot2 (02_10)
-
Interactive Maps
- What is leaflet? (03_01)
- Starting a Map in leaflet (03_02)
- Necessary HTML for Labelling leaflet Maps (03_03)
- Highlight a Region in a Country with leaflet (03_04)
- Compare Locations/Events with Geobubble Charts in leaflet (03_05)
- Make a Choropleth Map of Discrete Variables with leaflet (03_06)
- Make a Choropleth Map of Continuous Variables with leaflet (03_07)
- Visualize Raster Data with leaflet (03_08)
-
Wrapping Up
- You Did It!
Mapping with R
Labelling ggplot2 Maps (02_03)
This lesson is locked
This lesson is called Labelling ggplot2 Maps (02_03), part of the Mapping with R course. This lesson is called Labelling ggplot2 Maps (02_03), part of the Mapping with R course.
If the video is not playing correctly, you can watch it in a new window
Transcript
Click on the transcript to go to that point in the video. Please note that transcripts are auto generated and may contain minor inaccuracies.
Your Turn
Open the 02_03 project. Use the your-turn.R script in 02_03 to create a labelled geoscatter plot.
Select a country of your choice and use that to create a labelled geoscatter plot of the 10 largest cities in the country.
The solution shows cities in Germany but the code will work for any region that exists in the world.cities dataset.
Learn More
The {ggrepel} package is really a delight to work with and it works well with many geoms built into {ggplot2}. As mentioned in the video, it doesn’t yet natively support sf objects. There’s a GitHub Issue requesting the feature. You can check that to see if you can skip the data manipulation trick I demoed in this video.
You need to be signed-in to comment on this post. Login.
David Solet
March 31, 2022
With current events in mind, I chose the 10 largest cities in Ukraine instead of Germany. It worked well for the lesson. In world.cities, the label for "Kyiv" was "Kiev", which I think is the old anglicized spelling. Is there a source for up-to-date country (and other geographic features) labels? Thanks!
Bohdanna Kinasevych
April 7, 2022
Hi Charlie, I'm struggling to add labels to my map. I'm trying to plot 5 locations in Manitoba, Canada and it works up to the point when I convert my sf data file to a tibble and try to add labels. The X Y columns have the correct values for long/lat but my labels all plot at 0,0 (seems as though it's reading the X Y coordinates on a different scale). Any suggestions?
Here's my attempt to reproduce the code: manitoba_sf % st_as_sf() %>% filter(NAME_1 == "Manitoba")
mhrn_sites_tib <- tribble( ~location, ~long, ~lat, "Flin Flon", -101.88820, 54.76882, "Selkirk", -101.24217, 53.83253, "The Pas", -97.88055,55.75860, "Thompson", -97.29231, 49.85396, "Winnipeg", -97.29231, 49.85396, )
mhrn_sites_sf % st_as_sf(coords = c("long", "lat"), crs = 4326)
ggplot() + annotation_map_tile() + geom_sf(data = mhrn_sites_sf) + geom_label_repel(data = mhrn_sites_tib, aes(x = long, y = lat, label = location))
steve wakelin
April 21, 2022
Hi Charlie I couldn't seem to get this working very well for New Zealand. The cities plotted on an x y plot (with gridlines for the long and lat - using theme_minimal(), but there was no actual country outline for New Zealand.
Enjoying the course!
Kind regards Steve
gabrielle van Son
January 14, 2024
Hi Charlie, I tried the Netherlands. But now my shapefile is very, very tiny in the upperright corner of a map that also includes parts of Africa. I need to zoom in somehow. Do you have some advice? Thank you! Best, Gabrielle