Spatial clustering methods are useful for making sense of complex geographic patterns. In this week's lesson, we look in a more general way at the various approaches that spatial analysts and geographers have developed for measuring spatial autocorrelation.
At the successful completion of Lesson 4, you should be able to:
Lesson 4 is one week in length. (See the Calendar in Canvas for specific due dates.) The following items must be completed by the end of the week. You may find it useful to print this page out first so that you can follow along with the directions.
Step | Activity | Access/Directions |
---|---|---|
1 | Work through Lesson 4. | You are in the Lesson 4 online content now. Be sure to carefully read through the online lesson material. |
2 | Reading Assignment |
Before you go any further, you need to read the portions of the course text associated with this lesson:
After you've completed the reading, get back into the lesson and supplement your reading from the commentary material, then test your knowledge with the quiz. |
3 | Weekly Assignment | This week's project explores ethnic residential segregation in Auckland, New Zealand using spatial autocorrelation measures provided by the GeoDa tool. |
4 | Term Project | Finalize your Term Project Proposal for the peer review next week. |
5 | Lesson 4 Deliverables |
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Please use the 'Week 4 lesson and project discussion' to ask for clarification on any of these concepts and ideas. Hopefully, some of your classmates will be able to help with answering your questions, and I will also provide further commentary where appropriate.