Putting it All Together

1. Putting it All Together

We've covered a lot of material in the course and made some neat maps along the way. In this final section, you'll have an opportunity to pull a lot of our work together into a single interactive leaflet map.

2. Review

First, let's take a look back at what we've learned. We've used leaflet and html widgets to plot multiple base maps with color coded markers and polygons. Additionally, we have used base and overlay groups to enhance the interactive elements of our maps and we explored a number of useful features available in the leaflet extras package. Now we’ll create a single map that plots both points and polygons.

3. Putting it all Together

Starting from scratch, we'll call the leaflet() function, add three base maps with corresponding group names, then, we'll add our zip code polygons,

4. Putting it all Together

followed by our circle markers for public, private, and for-profit institutions complete with group names and labels. Finally, we add our layer controls to enable users to toggle between base maps and to show or hide overlay groups.

5. Putting it all Together

This yields an interactive map that has both points and polygons with labels and layers that users can explore. For example, if we were interested in learning more about the mean income in areas surrounding public colleges, we could quickly change the visible layers to investigate this topic. In the final set of exercises, you'll work toward creating a similar map that displays all of four-year colleges in the United States as well as the most affluent zip codes in the country.

6. Saving a Map

We've put a lot of work into creating this map, we should save it, so we can use the map later and maybe post it to a web site. We can save leaflet maps from the console using the htmlwidgets package. After storing a leaflet map in an object, the saveWidget() function allows us to write the map to an html file that we can store locally or on a server.

7. Let's practice!

Now it's time for you to put all of this work into practice.

Create Your Free Account

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Interactive Maps with leaflet in R

BeginnerSkill Level

4.7+

30 reviews

Chapter 1 will introduce students to the htmlwidgets package and the leaflet package. Following this introduction, students will build their first interactive web map using leaflet. Through the process of creating this first map students will be introduced to many of the core features of the leaflet package, including adding different map tiles, setting the center point and zoom level, plotting single points based on latitude and longitude coordinates, and storing leaflet maps as objects. Chapter 1 will conclude with students geocoding DataCamp’s headquarters, and creating a leaflet map that plots the headquarters and displays a popup describing the location.

Exercise 1: Introduction to leaflet Exercise 2: Loading the leaflet Library Exercise 3: Creating an Interactive Web Map Exercise 4: Map Tiles Exercise 5: Provider Tiles Exercise 6: Adding a Custom Map Tile Exercise 7: Setting the Default Map View Exercise 8: A Map with a View I Exercise 9: A Map with a Narrower View Exercise 10: Plotting DataCamp HQ Exercise 11: Mark it Exercise 12: Adding Popups and Storing your Map

In Chapter 4 students will learn to map polygons, which can be used to define geographic regions (e.g., zip codes, states, countries, etc.). Chapter 4 will start by plotting the zip codes in North Carolina that fall in the top quartile of mean family incomes. Students will learn to customize the polygons with color palettes and labels. Chapter 4 will conclude with adding a new layer to the map of every college in America that displays every zip code with a mean income of $200,000 or more during the 2015 tax year. Through the process of mapping zip codes students will learn about spatial data generally, geoJSON data, the @ symbol, and the addPolygons() function. Furthermore, students will have an opportunity to practice applying many of the options that they learned about in the previous chapters, such as popups and labels, as well as new ways to customize their maps, such as the highlight option in addPolygons().

Exercise 1: Spatial Data Exercise 2: Introduction to Spatial Data Exercise 3: Exploring Spatial Data Exercise 4: Joining Spatial Data Exercise 5: Mapping Polygons Exercise 6: addPolygons() Function Exercise 7: NC High Income Zips Exercise 8: addPolygon() Options Exercise 9: Let's do some Logging Exercise 10: Putting it All Together

Current Exercise

Exercise 11: Wealthiest Zip Codes in America Exercise 12: Final Map Exercise 13: Thank you!