Non-standard Spatial Statistics and Spatial Econometrics /

Detalles Bibliográficos
Autores principales: Griffith, Daniel A. (Autor), Paelinck, Jean H. Paul. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: eBook
Lenguaje:English
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Advances in Geographic Information Science,
Materias:
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024 7 |a 10.1007/978-3-642-16043-1  |2 doi 
040 |a Sistema de Bibliotecas del Tecnológico de Costa Rica 
100 1 |a Griffith, Daniel A.  |e author. 
245 1 0 |a Non-standard Spatial Statistics and Spatial Econometrics /  |c by Daniel A. Griffith, Jean H. Paul Paelinck. 
250 |a 1st ed. 2011. 
260 # # |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2011. 
300 |a XXXVI, 264 p. :  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Advances in Geographic Information Science, 
505 0 |a 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). 
650 0 |a Geography. 
650 0 |a Emigration and immigration. 
650 0 |a Business. 
650 0 |a Management science. 
650 1 4 |a Geography, general. 
650 2 4 |a Migration. 
650 2 4 |a Business and Management, general. 
700 1 |a Paelinck, Jean H. Paul.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks