The book reconsiders the issue of regional development from a European perspective in light of transition of society towards a knowledge-driven economy. It integrates research findings from a broad area including: economics, transportation, geography and regional science. In particular, it...

Although it is agreed that the dual development of monetary integration and territorial enlargement are likely to generate profound effects on European spatial structure, in both West and East, much uncertainty centres around the question of what changes will be brought about. This book furthers...

What are the most favourable conditions for the generation of innovative ideas and forms of enterprise? Can they be stimulated by intervention policies? To what extent does the injection of new technology stimulate local economic development? Do Science Parks really work? It is increasingly...

In recent years, spatial analysis has become an increasingly active field, as evidenced by the establishment of educational and research programs at many universities. Its popularity is due mainly to new technologies and the development of spatial data infrastructures. This book illustrates some...

Geocomputation may be viewed as the application of a computational science paradigm to study a wide range of problems in geographical systems contexts. This volume presents a clear, comprehensive and thoroughly state-of-the-art overview of current research, written by leading figures in the...

This book makes an attempt to provide evidence of the innovation processes across metropolitan regions studies based on the use of a common more rigid methodology. The comparison is based on three metropolitan regions situated in the South Western, South Eastern and Northern periphery of the...

In this paper a systematic introduction to computational neural network models is given in order to help spatial analysts learn about this exciting new field. The power of computational neural networks viz-à-viz conventional modelling is illustrated for an application field with noisy data of...

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...

The paper provides an explanation of the mechanisms underlying trade roots of the contagion effects emanating from the recent turmoils. It is argued that under demand uncertainty risk averse behavior of firms provides a basis for international trade. The paper shows by means of a simple...

The focus here is on the log-normal version of the spatial interaction model. In this context, we consider spatial econometric specifications that can be used to accommodate two types of dependence scenarios, one involving endogenous interaction and the other exogenous interaction. These model...