Recommended readings
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- Anselin, L. (1988). `Spatial Econometrics: Methods and Models <https://doi.org/10.1007/978-94-015-7799-1>`__. Studies in Operational Regional Science. Springer Netherlands, Dordrecht.
- Anselin, L. & A. Getis (1992). `Spatial statistical analysis and geographic information systems <https://link.springer.com/article/10.1007/BF01581478>`__. Ann. Reg. Sci. 26, 19–33.
- Anselin, L. & D. Arribas-Bel (2013). `Spatial fixed effects and spatial dependence in a single cross-section <https://doi.org/10.1111/j.1435-5957.2012.00480.x>`__. Pap. Reg. Sci. 92, 3–17.
- Anselin, L. & S.J. Rey (2014). `Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL <https://www.amazon.com/Modern-Spatial-Econometrics-Practice-GeoDaSpace/dp/0986342106>`__. GeoDa Press LLC.
- Brunsdon,  C., A.S. Fotheringham & M. Charlton (1996). `Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity <https://doi.org/10.1111/j.1538-4632.1996.tb00936.x>`__. Geogr. Anal. 28, 281–298.
- Comber, A., C. Brunsdon et al. (2020). `The GWR route map: a guide to the informed application of Geographically Weighted Regression <http://arxiv.org/abs/2004.06070>`__. ArXiv.
- Fanning, A.L., D.W. O’Neill, J. Hickel, & N. Roux. (2022). `The social shortfall and ecological overshoot of nations <https://doi.org/10.1038/s41893-021-00799-z>`__. Nat. Sustain. 5, 26–36.
- Fotheringham, A.S., C. Brunsdon, M. Charlton (2002). `Geographically Weighted Regression: The Analysis of Spatially Varying Relationships <https://www.wiley.com/en-us/Geographically+Weighted+Regression:+The+Analysis+of+Spatially+Varying+Relationships+-p-9780471496168>`__. Wiley.
- Fotheringham, A.S., W. Yang & W. Kang (2017). `Multiscale Geographically Weighted Regression (MGWR) <https://doi.org/10.1080/24694452.2017.1352480>`__. Ann. Am. Assoc. Geogr. 107, 1247–1265.
- O’Neill, D.W., A.L. Fanning, W.F. Lamb, & J.K. Steinberger (2018). `A good life for all within planetary boundaries <https://doi.org/10.1038/s41893-018-0021-4>`__. Nat. Sustain. 1, 88–95.
- Raworth, K. (2017). `Doughnut Economics: Seven Ways to Think Like a 21st-Century Economist <https://ekirjasto.kirjastot.fi/en/ekirjat/doughnut-economics-seven-ways-to-think-like-a-21st-century-economist>`__. Chelsea Green Publishing, White River Junction, Vermont.
- Rey, S.J. (2019). `PySAL: the first 10 years <https://doi.org/10.1080/17421772.2019.1593495>`__. Spat. Econ. Anal. 14, 273–282.
- Rey, S.J., W. Kang, L.J. Wolf (2019). `Regional inequality dynamics, stochastic dominance, and spatial dependence <https://doi.org/10.1111/pirs.12393>`__. Pap. Reg. Sci. 98, 861–881.
- Rey, S.J., D. Arribas-Bel & L.J. Wolf. (forthcoming). `Geographical Data Science with Python <https://geographicdata.science/book/intro.html>`__. CRC Press.