Readings
This page lists all the readings suggested throughout the course. To see where
each of them is mentioned, please refer to the class or lab pages.
- Anselin, L. (2002). Under the hood Issues in the specification and interpretation of spatial regression models. Agricultural Economics, 27(3): 247-267.
- Anselin, L. (2003). Spatial externalities, spatial multipliers, and spatial econometrics. International Regional Science Review, 26(2): 153-166.
- Anselin, L. (2005). Exploring spatial data with GeoDaTM: a workbook. Center for Spatially Integrated Social Science.
- Anselin, L; Amaral, P. V.; Arribas-Bel, D. (2012) Technical Aspects of
Implementing GMM Estimation of the Spatial Error Model in PySAL and
GeoDaSpace.
GeoDa Center Technical Report. [Source code]
- Bivand, R.; Piras, G. (in press). Comparing Implementations of Estimation Methods for Spatial Econometrics. Forthcoming in Journal of Statistical Software
- Gibbons, S.; Overman, H. G.; Patacchini, E. (2014). Spatial Methods. SERC Discussion Paper 162.
- Goodchild, M. F.; Longley, P. A. (2013). The Practice of Geographic Information Science. In Fischer, M. M. and Nijkamp, P., editors, Handbook of Regional Science. Springer-Verlag Berlin Heidelberg
- Haining, R. (2013). Spatial Data and Statistical Methods: A Chronological Overview. In Fischer, M. M. and Nijkamp, P., editors, Handbook of Regional Science. Springer-Verlag Berlin Heidelberg
- Le Gallo, J. (2013) Cross-Section Spatial Regression Models. In Fischer, M. M. and Nijkamp, P., editors, Handbook of Regional Science. Springer-Verlag Berlin Heidelberg
- McKinney, W. (2012) Python for Data Analysis. O’Reilly Media.
- McKinney, W. (2013) 10-minute tour of pandas. Vimeo.
- Pandas development team (2014) Pandas documentation. Online resource.
- Pinkse, J. and Slade, M. The future of spatial econometrics. Journal of Regional Science, 50(1): 103-117.
- QGIS Project (2014). QGIS User Guide. Release 2.2.
- Symanzik, J. (2013). Exploratory Spatial Data Analysis. In Fischer, M. M. and Nijkamp, P., editors, Handbook of Regional Science. Springer-Verlag Berlin Heidelberg