Morphisms for Quantitative Spatial Analysis

This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and allomorphisms), which is defined as a structure preserving the functio...

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Bibliographic Details
Main Author: Griffith, Daniel A. (Author)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing, 2018.
Edition:1st ed. 2018.
Series:Advanced Studies in Theoretical and Applied Econometrics, 51
Subjects:
Econometrics.
Geographical information systems.
Statistics .
Regional economics.
Spatial economics.
ISBN:9783319725536
ISSN:1570-5811 ;
Online Access: Get full text
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Table of Contents:
  • 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.

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