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
sf for Simple Features (01_04)
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This lesson is called sf for Simple Features (01_04), part of the Mapping with R course. This lesson is called sf for Simple Features (01_04), part of the Mapping with R course.
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Transcript
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Your Turn
Open the 01_04.Rproj file in order to open the appropriate project. From there:
Use mapview() to visualise only the regions in tiny_countries110 where the UN region is either “Seven Seas (open ocean)” or “Oceania”.
Load the {tidyverse}, {mapview}, {rnaturalearthdata} and {sf} packages
Convert
tiny_countries110into an sf objectFilter only those countries in “Seven Seas (open ocean)” or “Oceania”
Visualise this object with {mapview}
Learn More
If you want to learn more about how the sf package handles simple features data visit its website. Please note that it can do a lot of complex geospatial analysis, most of which is not covered in this course. If you want to learn about doing this type of work, check out Geocomputation with R.
The video demonstrates how to work with objects that have the class “sf” “data.frame” because they work just like normal data.frames. Sometimes you’ll need to work with the lower-level geometry objects but this is rare.
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Latif Apaassongo Ibrahim
February 20, 2022
Similar to my previous concern, I think I can only visualize the basemaps but not any map features. When I use codes in the example files, I can see country but not county boundaries. I can neither see the blue colored polygons in the videos nor interact with the output. I am using R version 4.1.2 (2021-11-01) -- "Bird Hippie". Could that be the problem?
Oscar Tetteh
March 29, 2023
Hi
Please, my data is now showing in the global environment.
It says: Error in counties_sf("laea") : could not find function "counties_sf"
Hannah Ridenour LaFrance
July 18, 2023
Hi, I've been unsuccessful at installing the albersusa package, being told that "there is no package called "albersusa"" - I'm running on R 4.3.1 and RStudio 2023.06.1+524 "Mountain Hydrangea" Release (547dcf861cac0253a8abb52c135e44e02ba407a1, 2023-07-07) for windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) RStudio/2023.06.1+524 Chrome/110.0.5481.208 Electron/23.3.0 Safari/537.36
Kendall Beals
January 23, 2024
Hi, thank you for creating this course! I've run into a similar issue with the previous mapview module (1_03). I've tried remotely installing the albersusa package (also installed remotes package beforehand), but I'm still getting the error about the dependencies:
ERROR: dependencies ‘rgeos’, ‘rgdal’ are not available for package ‘albersusa’
In the previous module I was able to use the tigris package workaround. Is there a similar solution here that replaces the counties_sf function in the albersusa package?
David Keyes Founder
January 25, 2024
Yes, if you run
tigris::counties()you should get an object that is basically the same (the column names are different, but the geometry column is identical). Let me know if that helps!Kendall Beals
January 25, 2024
Thank you, it worked!