Categorical Data Analysis For Geographers And Environmental Scientists [Paperback]

Categorical Data Analysis for Geographers and Environmental Scientists, originally published in 1985, provided the first account of the new integrated approaches to the analysis of categorical data designed specifically to meet the needs of the geographer and the environmental scientist. It is intended to be the logical sequel to the type of multivariate statistics course that most researchers in those fields will have encountered. As such, it is much more comprehensive in scope than other texts in the field. The book contains more than 40 empiric illustrations (from oil exploration to transport planning in cities), which are designed to form an integrated part of the text. These serve to link the theory to the practice of geographical and environmental science research. Dr. Wrigley's book was a milestone in data analysis in the spatial sciences. It provided an account of a revolution that has swept through an area of statistical methodology and that has transformed the practice of data analysis for social and environmental scientists. The book is sensitive to the likely statistic/mathematic backgrounds of geographers and environmental scientists and is written in a fashion that should be accessible to all higher level undergraduate and postgraduate students, faculty and researchers in those areas. One of the liveliest areas of statistics during the past 15 years has been the analysis of categorical data, counts or frequencies of different classes. Historically a poor relation of the analysis of continuous data, the field has been unified by the development of related families of models (logit, logistic, log-linear, and so on), which supersede or subsume earlier approaches based on measures of association or chi-square testing, many of them rather isolated or ad hoc. As, among geographers, Neil Wrigley has been the leading advocate and exponent of these new methods, it is especially appropriate that he should produce a guidebook for his colleagues. Thorough, prol£6