(Ebook) Geographic Information Analysis, Second Edition by David O'Sullivan, David J. Unwin(auth.) ISBN 9780470288573, 9780470549094, 0470288574, 0470549092

(Ebook) Geographic Information Analysis, Second Edition by David O'Sullivan, David J. Unwin(auth.) ISBN 9780470288573, 9780470549094, 0470288574, 0470549092

Clear, up-to-date coverage of methods for analyzing geographical information in a GIS contextGeographic Information Analysis, Second Edition is fully updated to keep pace with the most recent developments of spatial analysis in a geographic information systems (GIS) environment. Still focusing on the universal aspects of this science, this revised edition includes new coverage on geovisualization and mapping as well as recent developments using local statistics. Building on the fundamentals, this book explores such key concepts as spatial processes, point patterns, and autocorrelation in area data, as well as in continuous fields. Also addressed are methods for combining maps and performing computationally intensive analysis. New chapters tackle mapping, geovisualization, and local statistics, including the Moran Scatterplot and Geographically Weighted Regression (GWR). An appendix provides a primer on linear algebra using matrices. Complete with chapter objectives, summaries, "thought exercises," explanatory diagrams, and a chapter-by-chapter bibliography, Geographic Information Analysis is a practical book for students, as well as a valuable resource for researchers and professionals in the industry.Content: Chapter 1 Geographic Information Analysis and Spatial Data (pages 1–31): Chapter 2 The Pitfalls and Potential of Spatial Data (pages 33–53): Chapter 3 Fundamentals—Mapping It Out (pages 55–91): Chapter 4 Fundamentals—Maps as Outcomes of Processes (pages 93–119): Chapter 5 Point Pattern Analysis (pages 121–155): Chapter 6 Practical Point Pattern Analysis (pages 157–186): Chapter 7 Area Objects and Spatial Autocorrelation (pages 187–214): Chapter 8 Local Statistics (pages 215–237): Chapter 9 Describing and Analyzing Fields (pages 239–276): Chapter 10 Knowing the Unknowable: The Statistics of Fields (pages 277–313): Chapter 11 Putting Maps Together—Map Overlay (pages 315–340): Chapter 12 New Approaches to Spatial Analysis (pages 341–372):