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
Necessary HTML for Labelling leaflet Maps (03_03)
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This lesson is called Necessary HTML for Labelling leaflet Maps (03_03), part of the Mapping with R course. This lesson is called Necessary HTML for Labelling leaflet Maps (03_03), part of the Mapping with R course.
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Transcript
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Your Turn
Open project 03_03.
Use the your-turn.R script in 03_03 to add this popup to each state.
Format the state name in bold
Use a
<br>to add a line breakUse
scales::number()to format the population
Learn More
Unfortunately, it is necessary to learn a little bit of HTML to get the most out of your interactive maps. HTML is a very different language to R, it’s a “markup language” instead of a “scripting language”. In principle, HTML is a little bit easier to learn than R as you use tags to “markup content” and that’s about it.
I quite like the free HTML training materials available here.
CSS is the other side of HTMl and this is how styles are defined for each HTML tag. The CSS language can be more complex than HTML but you can achieve everything in this course without learning any CSS.
As I mentioned in the first video, the {leaflet} package is actually using the leaflet JavaScript package. It is absolutely unnecessary to learn JavaScript for the vast majority of maps you’ll want to make. My advice if you do discover you need JavaScript is to find examples of existing code that are close to what you want to build and move forwards from there.
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Bohdanna Kinasevych
April 18, 2022
Hi again! Here's a random question. How do you get your tibbles to wrap around and display the first five rows for ALL columns? Mine only shows what fits across the screen followed by "# ... with 1 more variable:
var 1" I end up using glimpse(), print() or view() a lot but I'd prefer to get the full display without any extra commands.