User's Guide to Spatial Econometrics in GeoDaSpace
The user's guide to the spatial regression functionality in GeoDaSpace and PySAL's spreg API can be purchased here:
The following two technical notes provide additional background information on GeoDaSpace and PySAL's spreg API.
Technical notes and comparison of functionality in GeoDaSpace/PySAL's spreg, Stata and R:
- Luc Anselin, Pedro V. Amaral and Daniel Arribas-Bel. (December 4, 2012). Technical Aspects of Implementing GMM Estimation of the Spatial Error Model in PySAL and GeoDaSpace.
- Code for comparing results across GeoDaSpace/PySAL, Stata and R
Technical notes on efficient GMM estimation implemented in PySAL code:
- Anselin, Luc. (2011). GMM Estimation of Spatial Error Autocorrelation with and without Heteroskedasticity.
Sample Data and Background Videos for Tutorials
Access the sample data referenced in the documentation and find free online videos about spatial regression here.