Krugman states that "Regional science is not a unified subject. It is best described as a collection of tools." Unfortunately such a perspective fails to fully acknowledge theoretical dimensions of the accompanying refocusing on geographic expressions of economic linkages, such as those...

Data forming a short space-time series - too short to utilize a STARIMA model - can include a random effects term that is spatially structured in order to account for both serial and spatial autocorrelation. In this context, space-time heterogeneity can be accounted for in various ways,...

Parameter estimation is one of the central issues in neural spatial interaction modelling. Current practice is dominated by gradient based local minimization techniques. They find local minima efficiently and work best in unimodal minimization problems, but can get trapped in multimodal...

We apply a Bayesian hierarchical Poisson spatial interaction model to the paper trail left by patent citations between high-technology patents in Europe to identify and measure spatial separation effects of interregional knowledge flows. The model introduced here is novel in that it allows for...

Parameter estimation is one of the central issues in neural spatial interaction modelling. Current practice is dominated by gradient based local minimization techniques. They find local minima efficiently and work best in unimodal minimization problems, but can get trapped in multimodal...