Non-standard Spatial Statistics and Spatial Econometrics

1. Introduction: Spatial Statistics
Daniel A. Griffith, Jean H.P. Paelinck

2. Individual Versus Ecological Analyses
Daniel A. Griffith, Jean H.P. Paelinck

3. Statistical Models for Spatial Data: Some Linkages and Communalities
Daniel A. Griffith, Jean H.P. Paelinck

4. Frequency Distributions for Simulated Spatially Autocorrelated Random Variables
Daniel A. Griffith, Jean H.P. Paelinck

5. Understanding Correlations Among Spatial Processes
Daniel A. Griffith, Jean H.P. Paelinck

6. Spatially Structured Random Effects: A Comparison of Three Popular Specifications
Daniel A. Griffith, Jean H.P. Paelinck

7. Spatial Filter Versus Conventional Spatial Model Specifications: Some Comparisons
Daniel A. Griffith, Jean H.P. Paelinck

8. The Role of Spatial Autocorrelation in Prioritizing Sites Within a Geographic Landscape
Daniel A. Griffith, Jean H.P. Paelinck

9. General Conclusions: Spatial Statistics
Daniel A. Griffith, Jean H.P. Paelinck

10. Introduction: Spatial Econometrics
Daniel A. Griffith, Jean H.P. Paelinck

11. A Mixed Linear-Logarithmic Specification for Lotka-Volterra Models with Endogenously Generated SDLS-Variables
Daniel A. Griffith, Jean H.P. Paelinck

12. Selecting Spatial Regimes by Threshold Analysis
Daniel A. Griffith, Jean H.P. Paelinck

13. Finite Automata
Daniel A. Griffith, Jean H.P. Paelinck

14. Learning from Residuals
Daniel A. Griffith, Jean H.P. Paelinck

15. Verhulst and Poisson Distributions
Daniel A. Griffith, Jean H.P. Paelinck

16. Qualireg, A Qualitative Regression Method
Daniel A. Griffith, Jean H.P. Paelinck

17. Filtering Complexity for Observational Errors and Spatial Bias
Daniel A. Griffith, Jean H.P. Paelinck

18. General Spatial Econometric Conclusions
Daniel A. Griffith, Jean H.P. Paelinck

Keywords: Geography, Geography (general), Migration, Economics/Management Science, general