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
CRS and Projections: How to Choose a CRS (01_13)
This lesson is locked
This lesson is called CRS and Projections: How to Choose a CRS (01_13), part of the Mapping with R course. This lesson is called CRS and Projections: How to Choose a CRS (01_13), part of the Mapping with R course.
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.
Learn More
In this video I recommend using epsg.io to find appropriate CRS for your GIS datasets. Here are some additional sources of that might be useful for you:
epsg.org is an alternative “CRS search engine” maintained by the International Association of Oil & Gas Producers (IOGP). Note that searches take much longer on this site than epsg.io
Wikipedia maintains a list of national mapping agencies that might be useful for your searches
Kyle Walker has also developed an R package called crssuggest that he describes as a “small R package to help spatial analysts determine an appropriate projected coordinate reference system for their data.”
I’ve kept the information in these two videos about projections as simple as possible. If you’re interested in a more technical overview of how to choose projections I recommend this section of the Geocomputation with R book.
You need to be signed-in to comment on this post. Login.
Alexandre lustosa
February 19, 2022
Hi, Charlotte Great course, very detailed and fantastic teaching.
I have doubts about two points:
Does the st_covers() function work as a kind of join?
On the website https://projectionwizard.org/, I'm not able to view the map to select the coordinates... Need to install something?
Thanks!
Charlie Hadley
February 22, 2022
Hi Alexandre, Glad to hear you're enjoying the course!
Yes, it's possible to do a join with the "geometric predicate" functions like
st_covers(). Here's a video to explain how it works and here's a link to the code I used.I'm sorry that projectionwizard.org isn't working for you. What browser are you using to view it - could you try an alternative browser? The map here actually uses the Leaflet JavaScript library which is what the {leaflet} package uses, so it should be supported by most modern browsers.
Cheers, Charlotte
Alexandre lustosa
February 23, 2022
Thank you so much for taking the time to create a video with an explanation!
Note: I hope you create other courses like this one with more specific topics: webscraping, Bayesian statistics, etc :)