Morphisms for Quantitative Spatial Analysis

Preamble.- Introduction to Part 1: Spatial statistics.- Spatial autocorrelation and the p-Median problem.- Space-time autocorrelation.- The relative importance of spatial and temporal autocorrelation.- The spatial weights matrix and ESF.- Clustering: Spatial autocorrelation and location quotients.- Spatial autocorrelation parameter estimation for massively large georeferenced datasets.- Space-time data and semi-saturated fixed effects.- Spatial autocorrelation and spatial interaction gravity models.- General conclusions about spatial statistics.- Introduction to Part 2: Spatial econometrics.- Tinbergen-Bos systems: Combining combinatorial analysis with metric topology.- Time, space, or econotimespace?- Hybrid dynamical systems and control.- The W matrix revisited.- Clustering, some non-standard approaches.- Linear expenditure systems and related estimation problems.- Structural indicators galore.- Traveling with the salesman.- Complexer and complexer, said Alice.- General conclusions about spatial econometrics.- Epilogue.- References.- Subject index.- Author's index.

Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.

• Estudos regionais
• Sistemas de informação geográfica (GIS) e observação remota
• Pesquisa e estatística social
• Economia política
• Probabilidade e Estatística
• Estudos interdisciplinares
• Econometria

Spatial statistics;Spatial econometrics;Spatial analysis;Morphisms in spatial analysis;Applied spatial analysis;Space-time autocorrelation;Space-time data;Semi-Saturated Fixed Effects;Large georeferenced datasets;Tinbengen-Bos systems;Time-space in econometrics;Hybrid dynamical systems;Non-standard clustering;Linear expenditure systems;Structural indicators