Great lecture! I took notes of some (not all) of the readings Dr. Anselin suggested. 1. Abbott, 1977 (Of Time and Space: The Contemporary Relevance of the Chicago School) 2. Goodchild, 2000 (Toward Spatial Integrated Social Science) 3. The White House, 2011 (Developing Effective Place-Based Policies for the FY 2011 Budget) 4. Viktor, 2013 (Big Data) 5. Hey, 2019 (The Fourth Paradigm: Data-Intensive Scientific Discovery) 6. Wickham, 2017 (R for Data Science) 7. Nolan (Data Science in R) 8. Openshaw, 1977 (A million or so correlation coefficients)
but the principle that the further out the prediction is made, the less likely to have an accurate result is the same. I think that was his point. I like the analogy
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Great lecture! I took notes of some (not all) of the readings Dr. Anselin suggested.
1. Abbott, 1977 (Of Time and Space: The Contemporary Relevance of the Chicago School)
2. Goodchild, 2000 (Toward Spatial Integrated Social Science)
3. The White House, 2011 (Developing Effective Place-Based Policies for the FY 2011 Budget)
4. Viktor, 2013 (Big Data)
5. Hey, 2019 (The Fourth Paradigm: Data-Intensive Scientific Discovery)
6. Wickham, 2017 (R for Data Science)
7. Nolan (Data Science in R)
8. Openshaw, 1977 (A million or so correlation coefficients)
Great lecture, thanks for sharing. Wish the whole course was posted.
Informative video, but the audio keeps breaking up
Jordan Frey Try this one with almost identical info. th-cam.com/video/lawWM6jQYEE/w-d-xo.html
good lecture, but that unreliable audio is messing it up
Great lecture. Thank you! However... there are some issue with the audio or it is just me? Anyway, thanks again for sharing!
Can I find somwhere any notes on labs?
The audio drops quite frequently. Please resolve that
10:44 - that's an example of extrapolation, not interpolation
but the principle that the further out the prediction is made, the less likely to have an accurate result is the same. I think that was his point. I like the analogy
Was this a graduate or undergraduate course?