Spatial Autocorrelation: A Fundamental Property of Geospatial Phenomena offers a state-of-the-art exploration of one of the most pivotal spatial analysis concepts. Beginning with foundational theories and clear definitions, it sets out the concepts and basic theory of spatial autocorrelation through elaborated conceptualizations and practical examples. In-depth case studies reveal the pervasive influence of spatial patterns in scientific inquiry while anticipating emerging research and innovative techniques. It offers practical methods for quantifying spatial autocorrelation, complete with step-by-step instructions and real-world examples.
Spatial Autocorrelation equips graduate students, researchers, and professionals with the knowledge and tools to confidently comprehend, navigate, and apply spatial analysis in their respective domains, making it an ideal companion for technical reference books, and a vital addition to the libraries of any discipline utilizing spatial analysis.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. About the authors - p. xi 8. Foreword by Keith Ord - p. xiii 9. Preface - p. xvii 10. Chapter 1. What is spatial autocorrelation? A conceptualization - p. 1 11. Chapter 2. Spatial autocorrelation is everywhere! - p. 45 12. Chapter 3. Quantifying spatial autocorrelation: an intuitive approach with few equations - p. 83 13. Chapter 4. Reflections on spatial autocorrelation model specifications for beginners - p. 119 14. Chapter 5. Geographic distributions: univariate spatial autocorrelation - p. 151 15. Chapter 6. Areal associations: multivariate spatial autocorrelation - p. 187 16. Chapter 7. Spatial autocorrelation and spatial interaction - p. 223 17. Chapter 8. Some spatial autocorrelation final frontiers: a partial future research agenda - p. 243 18. Chapter 9. Summary and concluding remarks - p. 265 19. Glossary - p. 289 20. Epilogue - p. 307 21. Index - p. 311
Spatial Autocorrelation: A Fundamental Property of Geospatial Phenomena offers a state-of-the-art exploration of one of the most pivotal spatial analysis concepts. Beginning with foundational theories and clear definitions, it sets out the concepts and basic theory of spatial autocorrelation through elaborated conceptualizations and practical examples. In-depth case studies reveal the pervasive influence of spatial patterns in scientific inquiry while anticipating emerging research and innovative techniques. It offers practical methods for quantifying spatial autocorrelation, complete with step-by-step instructions and real-world examples.
Spatial Autocorrelation equips graduate students, researchers, and professionals with the knowledge and tools to confidently comprehend, navigate, and apply spatial analysis in their respective domains, making it an ideal companion for technical reference books, and a vital addition to the libraries of any discipline utilizing spatial analysis.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. About the authors - p. xi 8. Foreword by Keith Ord - p. xiii 9. Preface - p. xvii 10. Chapter 1. What is spatial autocorrelation? A conceptualization - p. 1 11. Chapter 2. Spatial autocorrelation is everywhere! - p. 45 12. Chapter 3. Quantifying spatial autocorrelation: an intuitive approach with few equations - p. 83 13. Chapter 4. Reflections on spatial autocorrelation model specifications for beginners - p. 119 14. Chapter 5. Geographic distributions: univariate spatial autocorrelation - p. 151 15. Chapter 6. Areal associations: multivariate spatial autocorrelation - p. 187 16. Chapter 7. Spatial autocorrelation and spatial interaction - p. 223 17. Chapter 8. Some spatial autocorrelation final frontiers: a partial future research agenda - p. 243 18. Chapter 9. Summary and concluding remarks - p. 265 19. Glossary - p. 289 20. Epilogue - p. 307 21. Index - p. 311
