Geographic Information Analyses presents the spatial analytical foundation of geographic information systems which are instrumental to the emergent study of GIScience. This book covers spatial concepts such as points, lines, areas and surfaces, and analytical techniques such as projection, nearest
Geographic Information Analysis, Second Edition
β Scribed by David O'Sullivan, David J. Unwin(auth.)
- Year
- 2010
- Tongue
- English
- Leaves
- 412
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Clear, up-to-date coverage of methods for analyzing geographical information in a GIS context
Geographic 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 1β31):
Chapter 2 The Pitfalls and Potential of Spatial Data (pages 33β53):
Chapter 3 FundamentalsβMapping It Out (pages 55β91):
Chapter 4 FundamentalsβMaps as Outcomes of Processes (pages 93β119):
Chapter 5 Point Pattern Analysis (pages 121β155):
Chapter 6 Practical Point Pattern Analysis (pages 157β186):
Chapter 7 Area Objects and Spatial Autocorrelation (pages 187β214):
Chapter 8 Local Statistics (pages 215β237):
Chapter 9 Describing and Analyzing Fields (pages 239β276):
Chapter 10 Knowing the Unknowable: The Statistics of Fields (pages 277β313):
Chapter 11 Putting Maps TogetherβMap Overlay (pages 315β340):
Chapter 12 New Approaches to Spatial Analysis (pages 341β372):
β¦ Subjects
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I've just read the first two chapters and i must say that they are SPECTACULAR!!!
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