This book, first published in 2003, is a comprehensive overview of the theory and practice of spatial data analysis for students and researchers.Spatial data is data about the world where we record both the attribute of interest, and its location on the earth's surface. We need to analyse such data for many reasons. Are there geographic clusters of disease cases, or hotspots of crime? Can we match the geography of air quality to where people hospitalised for respiratory complaints actually live? This first comprehensive overview of the subject shows how such questions can be tackled. It will interest students and researchers in geography, economics, social science, the environmental sciences and statistics.Spatial data is data about the world where we record both the attribute of interest, and its location on the earth's surface. We need to analyse such data for many reasons. Are there geographic clusters of disease cases, or hotspots of crime? Can we match the geography of air quality to where people hospitalised for respiratory complaints actually live? This first comprehensive overview of the subject shows how such questions can be tackled. It will interest students and researchers in geography, economics, social science, the environmental sciences and statistics.Are there geographic clusters of disease cases, or hotspots of crime? Can the geography of air quality be matched to where people hospitalized for respiratory complaints actually live? Spatial data is data about the world where the attribute of interest and its location on the earth's surface are recorded. This comprehensive overview of the subject shows how the above questions can be tackled. It is written for students and researchers in geography, economics, social science, the environmental sciences and statistics.Preface; Readership; Acknowledgements; Introduction; Part I. The Context for Spatial Data Analysis: 1. Spatial data analysis: scientific and policy context; 2. The nature of spatial datló(