Meeting 06 - Working with Map Projections


Please submit Lab-05 as well as Waypoint 2 for the final project. Your second waypoint should be submitted via your final project repository.

Meeting Goals

This course meeting has an emphasis on the following goals:

  1. Describe map projections and the practical impact they have on GIS work.
  2. Identify the appropriate projections for different map scales.
  3. Apply transformations to projections for geometric data.
  4. Construct geometric data from tabular data that contains x,y coordinate pairs.
  5. Create new spatial data files for storing your modified geometric data.

Meeting Resources


Before Class

Tasks

Please complete the tasks listed on the syllabus, and see Blackboard for the entry ticket link.


During Class

Agenda

  1. Exercise 1 - Getting Acquainted with ESRI Story Maps
  2. Exercise 2 - Exploring the Mercator Projection
  3. Short Break
  4. Exercise 3 - Working with Projections in R
  5. Short Break
  6. Lab-06 and one-on-one meetings

Exercise 1 - Getting Acquainted with ESRI Story Maps

Your final projects will involve creating a story map. To get acquainted with these as a medium, we’ll take a look at a sample story map today. In your group, discuss:

  1. How does this differ from the map layouts we have been discussing the last few weeks?
  2. What are elements of this story map that are appealing?
  3. What are elements of this story map that you might change?

Exercise 2 - Exploring the Mercator Projection

Both of the “bonus” prep videos for this week (The West Wing and Vox.com) mention issues with map projections. The Mercator Projection’s history underscores a need for easy navigation for ships navigating the world’s oceans beginning in the 16th century. In order to maintain the right angles between latitude and longitude lines, the map must distort the shape of the earth as you get closer to both poles. This results, for example, in making Greenland appear as though it is equally sized to Africa. We’ll use The True Size Of… project to explore the distortions that projections can create.

We’ll also talk about some projections that are good for mapping at different scales. This largely apply to static maps, and the handout associated with this can be found on Blackboard.

Exercise 3 - Working with Projections in R

For our work in R today, we’ll dig into the projection tools in the sf package, specifically the st_transform() and st_as_sf() functions. Since we’re working on both changing projections as well as projecting points, we’ll also cover how to change points on ggplot2 maps. Finally, we’ll discuss options for saving geometric data using the st_write() function.

The data and example notebook are available in this course meeting’s repository, named module-3-projections. You can find them in examples/meeting-examples.Rmd. You can also follow along with the completed code here. Note that there are some issues with how my code is rendering right now with RStudio, and these are incomplete.


After Class

The Lab-06 instructions are available in module-3-projections or can viewed online here. You’ll need to create a new .Rproj for it in your assignments repository and make three maps - one of the lower 48 states, one of Alaska, and one of Hawaii - showing health insurance rates. Each map should use an appropriate coordinate system.

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