Griffith and Paelinck (2011) present selected non-standard spatial statistics and spatial econometrics topics that address issues associated with spatial econometric methodology. This paper addresses the following challenges posed by spatial autocorrelation alluded to and/or derived from the spatial statistics topics of this book: the Gaussian random variable Jacobian term for massive datasets; topological features of georeferenced data; eigenvector spatial filtering-based georeferenced data generating mechanisms; and, interpreting random effects
Spatial interaction models of the gravity type are widely used to describe origin-destination flows....
Regions, independent of their geographic level of aggregation, are known to be interrelated partly d...
Kauermann G, Haupt H, Kaufmann N. A hitchhiker's view on spatial statistics and spatial econometrics...
Griffith and Paelinck (2011) present selected non-standard spatial statistics and spatial econometri...
This contribution is an introduction to the main topics of spatial econometrics. We start analyzing ...
In this paper I will give a brief and general overview of the characteristics of spatial data, why i...
Distinguishing the analysis of spatial data from classical analysis is only meaningful if the spati...
Econometrics on spatial data : a beginner's guide. This contribution is an introduction to the main...
discussions on this project. Any remaining errors are my own. Many theories in political science pre...
Topics in Spatial Econometrics — With Applications to House Prices Spatial effects in data occur wh...
The analysis of spatial distributions and the processes that produce and alter them is a central the...
A focus on location and spatial interaction has recently gained a more central place not only in ap...
Spatial econometric methods aim at taking into account the two special characteristics of spatial da...
Spatial interaction models of the gravity type are widely used to describe origin-destination flows....
While the new economic geography of trade and location has, understandably enough, concentrated on ...
Spatial interaction models of the gravity type are widely used to describe origin-destination flows....
Regions, independent of their geographic level of aggregation, are known to be interrelated partly d...
Kauermann G, Haupt H, Kaufmann N. A hitchhiker's view on spatial statistics and spatial econometrics...
Griffith and Paelinck (2011) present selected non-standard spatial statistics and spatial econometri...
This contribution is an introduction to the main topics of spatial econometrics. We start analyzing ...
In this paper I will give a brief and general overview of the characteristics of spatial data, why i...
Distinguishing the analysis of spatial data from classical analysis is only meaningful if the spati...
Econometrics on spatial data : a beginner's guide. This contribution is an introduction to the main...
discussions on this project. Any remaining errors are my own. Many theories in political science pre...
Topics in Spatial Econometrics — With Applications to House Prices Spatial effects in data occur wh...
The analysis of spatial distributions and the processes that produce and alter them is a central the...
A focus on location and spatial interaction has recently gained a more central place not only in ap...
Spatial econometric methods aim at taking into account the two special characteristics of spatial da...
Spatial interaction models of the gravity type are widely used to describe origin-destination flows....
While the new economic geography of trade and location has, understandably enough, concentrated on ...
Spatial interaction models of the gravity type are widely used to describe origin-destination flows....
Regions, independent of their geographic level of aggregation, are known to be interrelated partly d...
Kauermann G, Haupt H, Kaufmann N. A hitchhiker's view on spatial statistics and spatial econometrics...