Military Power and Political Influence

This is an edited text of the sixth John Vincent Memorial Lecture delivered by Lawrence Freedman at the University of Keele on 8 May 1998. Against the background of Soviet military power in Europe in the 1970s, the author explores in the first place the question of the utility of force in circumstances where there is no immediate danger of war, and concludes with a discussion of its contemporary relevance for the armed forces of the Atlantic alliance.     

Book reviews

Regions Reconsidered: Economic Networks, Innovation and Local Department in Industrial Countries. Edward Bergman, Gunter Maier and Franz Tödtling (Eds), London: Mansell Publishing Limited, 1991, 312pp.

Travel Sickness: The Need for a Sustainable Transport Policy for Britain. J. Roberts, J. Cleary, K. Hamilton and J. Hanna (Eds), London: Lawrence and Wishart, 1992, 358pp.

Endogenous Development and Southern Europe. G. Garofoli (Ed.), Aldershot: Avebury Press, 1992, ISBN 1 85628 1310, 250pp., £37.50.     

Book reviews

Serviços e Desenvolvimento numa Região em Mudança (Services and Development in a Changing Region). Comissão de Coordenação da Região Centro (Ed.), Coimbra, Comissão de Coordmação da Região Centro, 1993, 443 pp, ISBN 972 659 040 0.

Technology Transfer in Europe. David Charles and Jeremy Howells, London, Belhaven Press, 1992, 256 pp., £35.00, ISBN 1 85293 160 4.

Technology and Economic Development. The Dynamics of Local, Regional and National Change. E. J. Malecki, Harlow, Longman Scientific & Technical; New York, John Wiley, 1991, 495 pp., ISBN 0 470 21723 5.

The Rise of Meso Government in Europe. L. J. Sharpe (Ed.), London, Sage Publications, 1993, 327 pp., £45.00, ISBN 0 8039 8776 5.

British Urban Policy and the Urban Development Corporation. Rob Imrie and Huw Thomas (Eds), London, Paul Chapman, 1993, 216 pp., £15.50 pb, ISBN 1 85396 207 4.     

The Assessment of Spatial Autocorrelation through Constrained Multiple Regression

Most published measures of spatial autocorrelation (SA) can be recast as a (normalized) cross-product statistic that indexes the degree of relationship between corresponding entries from two matrices—one specifying the spatial connections among a set of n locations, and the other reflecting a very explicit definition of similarity between the set of values on some variable x realized over the n locations. We first give a very brief sketch of the basic cross-product approach to the evaluation of SA, and then generalize this strategy to include less restrictive specifications for the notion of similarity between the values on x. Using constrained multiple regression, the characterization of variate similarity basic to any assessment of SA can itself be framed according to the information present in the measure of spatial separation. These extensions obviate the inherent arbitrariness in how SA is usually evaluated, which now results from the requirement of a very restrictive definition of variate similarity before a cross-product index can be obtained.