Non-standard Spatial Statistics and Spatial Econometrics
Despite spatial statistics and spatial econometrics both being recent sprouts of the general tree "spatial analysis with measurement"—some may remember the debate after WWII about "theory without measurement" versus "measurement without theory"—several general themes ha...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2011.
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| Series: | Advances in Geographic Information Science,
1 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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).
