By Luc Anselin, Raymond Florax, Sergio J. Rey
Advances in Spatial Science
This sequence of books is devoted to reporting on fresh advances in spatial technological know-how. It comprises medical reviews targeting spatial phenomena, making use of theoretical frameworks, analytical tools, and empirical systems particularly designed for spatial research. The sequence brings jointly cutting edge spatial study applying thoughts, views, and strategies with a relevance to either easy technology and coverage making. the purpose is to give advances in spatial technological know-how to an educated readership in universities, examine organizations, and policy-making associations during the world.
The kind of fabric thought of for e-book within the sequence includes:
- Monographs of theoretical and utilized examine in spatial science;
- state of the art volumes in components of simple research;
- studies of cutting edge theories and techniques in spatial science;
- Tightly edited studies shape particularly organised learn seminars.
Manuscripts needs to be ready in keeping with the ideas for authors and editors which may be received from Springer-Verlag. Manuscripts thought of for the sequence can be reviewed by means of self sustaining specialists to make sure their originality, clinical point, and foreign coverage relevance.
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Extra info for Advances in Spatial Econometrics: Methodology, Tools and Applications
Bivand and Portnov start by outlining the different ways in which spatial weights objects are implemented in the R package spdep. This includes weights where the neighbor relation is defined by common boundary, distance band, nearest neighbors, and Delaunay triangulation, as well as cases where they are derived from graphtheoretic concepts such as Gabriel graphs. This is illustrated with various code snippets. They next proceed to discuss the problem of how to define a spatially lagged variable for observations that have no neighbors, and whether this should be accommodated by a missing value code or an explicit assignment of zero.
He also carries out an empirical investigation, estimating the augmented spatial lag Verdoorn law (as well as other specifications) for a data set on manufacturing productivity and output for 178 NUTS regions of the European Union (EU), over a period of twenty years (1975-1995). The results provide strong support for increasing returns, and significant coefficients for catch up, peripherality and urbanization effects. More importantly, the spatial autoregressive (lag) coefficient is highly significant, indicating the existence of cross-region spatial externalities.
This so-called vote-counting procedure is considered statistically flawed and obsolete (see Hedges and Olkin, 1985, for details). In addition, we argue that one of the distinctive advantages of meta-analysis, in particular of multivariate meta-regression, is the possibility to investigate the variability of an "effect size" while controlling for intervening factors. The comparison across studies evokes specific caveats in meta-analysis as compared to response surface analysis. First, the selection of studies included in the meta-analysis is biased if there is a systematic variation between the sampling decision and the magnitude of the effect and/or its associated variance.
Advances in Spatial Econometrics: Methodology, Tools and Applications by Luc Anselin, Raymond Florax, Sergio J. Rey