Non-standard Spatial Statistics and Spatial Econometrics

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Advances in Geographic Information Science

ISBN: 364226669X
ISBN 13: 9783642266690
Autor: Griffith, Daniel A/Paelinck, Jean H Paul
Verlag: Springer Verlag GmbH
Umfang: xxxvi, 264 S.
Erscheinungsdatum: 25.02.2013
Auflage: 1/2013
Produktform: Kartoniert
Einband: KT

InhaltsangabePart 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).

Artikelnummer: 4428222 Kategorie:

Beschreibung

InhaltsangabePart 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).

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