Homework 3
Skills challenges
Navigate to GitHub Classroom. This will create a Github repository for you. Clone this repository to your local machine using Github Desktop (click Clone > Open in Github Desktop). Set the Local Path to your homework folder in your class folder.
There are two tasks and thus they are separated into two files. You are expected to completed both tasks.
- Advanced map visualization Open
HW3_Part1.qmd. This will involve doing a spatial analysis of pedestrian/bike crash data in St. Paul, MN, and data from Ramsey and Hennepin counties. - Advanced map visualization. Open
HW3_Part2.qmd. This will involve working with a very large dataset, combining spatial datasets, and aggregating data at different spatial resolutions.
Concepts to Know
- Basics of CRS (ellipsoid, datum, projection)
- Spatial data types (vector vs. raster)
- Basics of
sfpackage - Aggregating spatial point data to a spatial region, Joining spatial data sets
Optional
If you are aiming for an A in the course, recall from our syllabus that participating in 3 Tidy Tuesday challenges can move you toward this goal. You’ve already created 1 for HW1. These are great to include in your digital portfolio.
- I encourage you to participate in the most recent Tidy Tuesday challenge.
- To turn in your work, share an image of a visual that you are proud of in the #sharing-is-caring channel on Slack and a link to the Github repository created for your Tidy Tuesday work.