GEO 200CN: Quantitative Geography
Professor Noli Brazil
University of California, Davis
Welcome to the GEO 200CN website! This website complements the class Canvas site.
On this website you will find:
- An abridged syllabus
- Assignment guidelines
- Lab material
On Canvas you will find:
- A detailed syllabus
- Reading material
- Lecture slides
- Data for labs/assignments
- Quiz material
- Submit your homework
- Grades
About the class
This course provides an introduction to quantitative geographic methods with a focus on spatial data manipulation, modeling, and analysis. Students leaving the course should have gained both methodological skills, and have a stronger sense of the concepts underlying this type of research analysis. Lectures will present abstract statistical concepts alongside data analysis examples motivated through real-world problems. Labs will provide hands-on practice of the methods covered in lecture and readings using the statistical software program R.
Giving Credit
The following websites were used in the construction of this course website. My gratitude to the people who invested their time and effort in developing and offering these valuable resources to the public.
- Robert Hijman’s Spatial Data Science with R
- Manuel Gimond’s Intro to GIS and Spatial Analysis
- Edzer Pebesma and Roger Bivand’s Spatial Data Science
- Corey Sparks’ RPubs labs
- Claudia Engel’s Using Spatial Data in R
- The Center for Spatial Data Science Tutorials
This
work is licensed under a
Creative
Commons Attribution-NonCommercial 4.0 International License.
Website created and maintained by Noli Brazil