Categorical Data Analysis for Geographies and Environmental Scientists

392p large format hardback, red dustjacket present, a nice and clean copy, first edition

Neil Wrigley Ph.D. (Cambridge), D.Sc. (Bristol) is Professor of Geography at the University of Southampton, UK (where he has been Head of Department 1992-95, 1999-2001). Previously, he was Professor and Head of the Department of City & Regional Planning, University of Wales, Cardiff, and before that Reader in Geography at the University of Bristol. He has held visiting appointments at several universities in the USA, Canada and Australia, an Erskine Fellowship in New Zealand, and was Senior Research Fellow at St Peter’s College, Oxford (1996-97). He is currently founding Editor of the Journal of Economic Geography (Oxford University Press) and was previously (1988-93) Editor of Transactions of the Institute of British Geographers.

Author of more than 130 academic papers in leading journals and 10 books and edited volumes, his research has focused on two main areas. During the 1990s, and currently, its focus has been on economic geography – with particular reference to the corporate restructuring, regulation and globalization of the retail industry. During the 1970s and 1980s it focused on quantitative social science and spatial statistics – particularly the fields of categorical data analysis, discrete choice modelling, and longitudinal/panel data analysis. Categorical Data Analysis, first published by Longman in 1985 and now republished by The Blackburn Press, comes from that earlier period of his work when he was based at the University of Bristol and a member of the UK Economic and Social Research Council’s Research Methods and Resources Committee. The book has long been recognized as a landmark volume in quantitative geography and has been extensively cited and widely used across many disciplines as a research methods text for over 15 years. Although the methods it describes are now a standard part of the practice of data analysis in the social and environmental sciences (and are available via all the leading statistical software packages) its account of the revolution which swept through this area of statistical methodology retains its vitality and pertinence. Moreover the clarity of its pedagogic approach and it successful student-oriented integration of empirical illustration and statistical discussion has ensured its continuing popularity as a research methods text.