Maps

Due: Nov 04 by 11:59pm

Weight: This assignment is worth 1% of your final grade.

Purpose: The purpose of this assignment is to learn some techniques for creating a special type of chart: maps. We will look at different types of maps and how to work with different types of geospatial data.

Assessment: This assignment is graded using a check system:

  • ✔+ (110%): Responses shows phenomenal thought and engagement with the course content. I will not assign these often.
  • ✔ (100%): Responses are thoughtful, well-written, and show engagement with the course content. This is the expected level of performance.
  • ✔− (50%): Responses are hastily composed, too short, and/or only cursorily engages with the course content. This grade signals that you need to improve next time. I will hopefully not assign these often.

Notice that this is essentially a pass/fail system. I’m not grading your writing ability and I’m not counting the number of words you write - I’m looking for thoughtful engagement. One or two sentences is not enough. Write at least a paragraph and show me that you did the readings assigned.

1. Get Organized

Follow these instructions:

  1. Download and edit this template.
  2. Unzip the template folder. Make sure you actually unzip it! (in Windows, right-click it and use “extract all”)
  3. Open the .Rproj file to open RStudio.
  4. Inside RStudio, open the hw9.qmd file, take notes, and write some example code as you go through the readings / exercises below.

2. Video

Watch this video on map projections:

3. Readings

This week we’ll learn about maps and geospatial data. Maps are a unique type of data viz, and often times they are inappropriately or inaccurately used. These readings will help you learn best practices when visualizing geospatial data:

4. Reflect

This week, include in your reflection an image or link to a recent map you’ve seen (or one you thought was super interesting)

Reflect on what you’ve learned while going through these readings and exercises. Is there anything that jumped out at you? Anything you found particularly interesting or confusing?

Write at least a paragraph in your hw9.qmd file, and include at least one question. The teaching team will review the questions we get and will try to answer them either in Slack or in class.

Some thoughts you may want to try in your reflection:

  • Write about an interesting data visualization about trends you’ve seen.
  • “I used to think ______, now I think ______ 🤔”
  • Discuss some of the key insights or things you found interesting in the readings or recent class periods.
  • Connect the course content to your own work or project you’re working on.

5. Submit

To submit your assignment, follow these instructions:

  1. Render your .qmd file by either clicking the “Render” button in RStudio or running the command quarto::quarto_render("hw9.qmd") command.
  2. Open the rendered html file and make sure it looks good! Is all the formatting as you expected?
  3. Create a zip file of all the files in your R project folder for this assignment and submit it on the corresponding assignment submission on Blackboard.