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World class computing and information science research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.

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A multi-equation spatial econometric model, with application to EU manufacturing productivity growth

Fingleton, B. (2009) A multi-equation spatial econometric model, with application to EU manufacturing productivity growth. In: Handbook of applied spatial analysis. Springer, pp. 629-647. ISBN 9783642036460

Full text not available in this repository. Request a copy from the Strathclyde author

Abstract

This Handbook summarizes, explains, and demonstrates the nature of current models, methods, and techniques for the analysis of spatial data. The book is designed to be a desk reference for all researchers just getting into the field of spatial data analysis as well as for seasoned spatial analysts. The volume features contributions from the very best scholars in the field. Their explanations are able to communicate the fundamental ideas of their subject area succinctly and accessibly. The Handbook begins by exploring the available software for spatial analysis and then describes briefly but clearly the many techniques embodied in the fields of exploratory spatial data analysis, spatial statistics, geostatistics, and spatial econometrics. In addition, attention is given to the methods used for the analysis of remotely sensed data. Finally, a number of example sections are included that demonstrate the application of spatial analysis in the economic, environmental, and health sciences.