Welcome to the GEOG 279: Applied Statistics for Geography – your one-stop hub for all things related to causal analysis in space! 🚀 You can access the course dedicated website here.
- 📅 Course Schedule: Stay on top of all the weekly topics, class times, and deadlines.
- 📚 Readings: Access all the essential and supplementary readings to dive deeper into causal analysis.
- 📝 Assignments: Your go-to spot for assignment instructions and due dates. Because we know you love those deadlines! 😅
- 🎥 Resources: Books, articles, videos...we've got it all! Let's make learning fun, shall we?
GEOG 279 is all about mastering causal inference techniques in geography. You'll be working with different types of data, using:
- 🔍 Randomized Control Trials (RCTs)
- 🔗 Matching & Synthetic Controls
- 📊 Differences-in-Differences (DID)
- 🧪 Instrumental Variables
- 🤖 Machine Learning
By the end of this course, you’ll be a data wizard ready to tackle real-world spatial problems! 🧙♂️📈
- Instructor: Kathy Baylis
- Navigate through this link to find what you need:
- Course Schedule: Weekly breakdown of topics and readings.
- Assignments: Get the details on what’s due and when.
- Readings: Direct links to all course materials.
- Resources: Books, videos, and more to support your learning.
- Bookmark this page – it's your course companion!
- Explore the additional resources to level up your knowledge!
If you have any questions, suggestions, feel free to reach out!
Ready to dive into the world of causal analysis and spatial statistics? Let’s go! 🗺️🌐