References
- Anselin L., 1988. Spatial econometrics: Methods and models. Kluwer, Dordrecht.
- Anselin L., 1995. Local Indicators of Spatial Association - LISA. Geographical Analysis, 27(2): 93-115.
- Boots B., 2003. Developing local measures of spatial association for categorical data. Journal of Geographical Systems, 5: 139-160.
- Getis A., Griffith D.A., 2002. Comparative spatial filtering in regression analysis. Geographical Analysis, 34: 130-140.
- Griffith D.A., 1981. Towards a theory of spatial statistics: A rejoinder. Geographical Analysis, 13: 91-93.
- Griffith D.A., 1988. Advanced spatial statistics. Kluwer, Dordrecht.
- Griffith D.A., 1996. Spatial autocorrelation and eigenfunctions of the geographic weights matrix accompanying georeferenced data. The Canadian Geographer, 40: 351-367.
- Griffith D.A., 2000. A linear regression solution to the spatial autocorrelation problem. Journal of Geographical Systems, 2: 141-156.
- Griffith D.A., 2003. Spatial autocorrelation and spatial filtering. Springer, Berlin.
- Jong P. de, Sprenger C., Veen F. van, 1984. On extreme values of Moran's I and Geary's c. Geographical Analysis, 16(1): 17-24.
- Patuelli R., Griffith D.A., Tiefelsdorf M., Nijkamp P., 2006. The use of spatial filtering techniques: The spatial and space-time structure of German unemployment data. Tinbergen Institute Discussion Papers, 06-049/3.
- Patuelli R., Griffith D.A., Tiefelsdorf M., Nijkamp P., 2009. Spatial filtering and eigenvector stability: Space-time models for German unemployment data. Quaderni della facolta di Scienze economiche dell'Universita di Lugano, 0902.
- Tiefelsdorf M., Griffith D.A., 2007. Semiparametric filtering of spatial autocorrelation: The eigenvector approach. Environment and Planning, A, 39(5): 1193-1221.