Non-standard Spatial Statistics and Spatial Econometrics /
| Autores principales: | , |
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| Autor Corporativo: | |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2011.
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| Edición: | 1st ed. 2011. |
| Colección: | Advances in Geographic Information Science,
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| Materias: |
Tabla de Contenidos:
- Part 1. Non-standard spatial statistics
- 1. Introduction: spatial statistics, - 2. Individual versus ecological analyses
- 3. Statistical models for spatial data: some linkages and communalities
- 4. Frequency distributions for simulated spatially autorcorrelated random variable
- 5. Understanding correlations among spatial random variables
- 6. Spatially structured random effects: a comparison of three popular specifications
- 7. Spatial filter versus conventional spatial model specifications: some comparisons
- 8. The role of spatial of autocorrelation in prioritizing sites within a geographic landscape
- 9. General spatial statistics conclusions
- 10. References: spatial statistics (Part 1) Part 2. Non-standard spatial econometrics
- 11. Introduction: spatial econometrics
- 12. Mixed linear-logarithmetic specification for Lotka-Volterra models with endogenously generated SDLS-variables
- 13. Selecting spatial regimes by threshold analysis
- 14. Finite automata
- 15 Learning from residuals
- 16. Verhulst and Poisson distributions
- 17. QUARLIREG: qualitative regression and its application to spatial data
- 18. Filtering complexity for observational errors and spatial bias
- 19. General spatial econometrics conclusions
- 20. References: spatial econometrics (Part 2).