Intro to Spatial Data in R
  • Syllabus
  • Schedule
  • Content
  • Assignments
  • Examples
  • Lessons
  • Resources

Schedule

Here’s your roadmap for the semester!

  • Content (): This page contains the readings, slides, and recorded lectures for the week. Read and watch these before our in-person class.

  • Lesson (): This page contains additional annotated R code and other supplementary information that you can use as a reference for your assignments and project. This is only a reference page—you don’t have to necessarily do anything here, but it will be helpful as you work on your assignments.

  • Example (): This page the scripts that we work on in class as a reminder of some of the live-coding exercises. These are provided as a reference to help you link your notes to the syntax we use in class.

  • Assignment (): This page contains the instructions for each assignment. Assignments are due by 11:59 PM on the day they’re listed.

Subscribe!

You can subscribe to this calendar URL in Outlook, Google Calendar, or Apple Calendar:

Download

Getting started

Title Content Lesson Example Assignment
August 19
(Session 1)
Introduction to the course
August 21
(Session 2)
Why Geographic Analysis
August 23  Self-Evaluation 1 due  (submit by 11:59 PM)
August 26
(Session 3)
Introduction to Spatial Data
August 28
(Session 4)
Introduction to Spatial Data with R
August 29  Homework 1  (submit by 11:59 PM)
September 2 No Class
(Labor Day)
September 4
(Session 5)
Literate Programming, Quarto, Workflows
September 5  Homework 2  (submit by 11:59 PM)

Spatial Data Operations in R

Title Content Lesson Example Assignment
September 9
(Session 6)
Areal Data: Coordinates and Geometries
September 11
(Session 7)
Areal Data: Vector Data
September 12  Homework 3
September 16
(Session 8)
Areal Data: Rasters
September 18
(Session 9)
Mapping Geographic Data
September 19  Homework 4
September 23
(Session 10)
Operations With Vectors I
September 25
(Session 11)
Operations With Vectors II
September 26  Assignment Revision 1  (submit by 11:59 PM)
September 30
(Session 12)
Operations With Rasters I
October 2
(Session 13)
Operations With Rasters II
October 3  Homework 6  (submit by 11:59 PM)
October 7
(Session 14)
Building Spatial Databases with Attributes
October 9
(Session 15)
Building Spatial Databases with Location
October 14
(Session 16)
Combining Vectors and Rasters
October 15  Homework 7  (submit by 11:59 PM)

Statistical Workflows for Spatial Data

Title Content Lesson Example Assignment
October 16
(Session 17)
Point Patterns
October 21
(Session 18)
Interpolation
October 23
(Session 19)
Proximity and Areal Data
October 24  Assignment Revision 2  (submit by 11:59 PM)
October 28
(Session 20)
Spatial Autocorrelation
October 30
(Session 21)
Statistical Modelling I
October 31  Homework 8  (submit by 11:59 PM)
November 4
(Session 22)
Statistical Modelling II
November 6
(Session 23)
Statistical Modelling III
November 7  Homework 9  (submit by 11:59 PM)
November 11
(Session 24)
Statistical Modelling Review
November 13
(Session 25)
Data Visualization and Maps I
November 14  Assignment Revision 3  (submit by 11:59 PM)

Visualizing Spatial Data

Title Content Lesson Example Assignment
November 18
(Session 26)
Data Visualization and Maps II
November 20
(Session 27)
Introduction to Interactive Maps
November 21  Homework 10  (submit by 11:59 PM)
November 25 No Class
(Fall Break)
November 27 No Class
(Fall Break)
December 2
(Session 28)
Interactive Dashboards

Wrapup

Title Content Lesson Example Assignment
December 4
(Session 29)
Conclusion
December 5  Final Project Draft  (submit by 11:59 PM)
December 11 Final Project Workday
(optional)
December 12  Final Project Due  (submit by 11:59 PM)
December 13  Final Self-Evaluation Due  (submit by 11:59 PM)

Content 2024 by Carolyn Koehn
All content licensed under a Creative Commons Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0)

 

Made with and Quarto
View the source at GitHub
Based on websites designed by Andrew Heiss and Matt Williamson