Morphisms for Quantitative Spatial Analysis

Addresses morphisms in spatial analysis Presents both spatial statistics and spatial econometrics topics Features a special chapter on the relationship between spatial autocorrelation and spatial optimization Includes numerous applications of space-time data analysis

Autorentext
Daniel A. Griffith, an Ashbel Smith Professor of Geospatial Information Science at the University of Texas at Dallas, TX, USA, has published 18 books and over 200 articles appearing in geography, statistics, mathematics, economics, and regional science journals and other outlets. Griffith served as editor of Geographical Analysis from 2009 to 2014. Among his many awards, he is a fellow of the Royal Society of Canada, the American Statistical Association, and the Guggenheim Foundation.
**Jean H. P. Paelinck** is an emeritus professor of the Erasmus University Rotterdam, and most recently was a distinguished Visiting Professor at George Mason University, VA, USA. As a (co-)author and (co-)editor, he has published around fifty volumes and over 400 articles, mainly on theoretical spatial economics and spatial econometrics. Paelinck has been awarded seven honorary PhDs and numerous other international distinctions, e.g. the Walter Isard Award in Regional Science.

Zusammenfassung

Inhalt
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.