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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Griffith, Daniel A. (Autor), Paelinck, Jean H. Paul (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Advances in Geographic Information Science,
Temas:
Acceso en línea:Texto Completo
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).