Geographic Information Analysis

by David O'Sullivan, David Unwin

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.

Genres: School, Geography, Nonfiction

432 pages, Hardcover

First published November 15, 2002

Reviews

[Wallyeast · Rating 3 out of 5]

This was a generally helpful textbook. At times, I did find the writing confusing. That could be me, though.

[fearthainn · Rating 4 out of 5]

This was an advanced spatial statistics textbook for a university course, and I read it cover to cover during the semester. Very clear, well written with good explanations for those of us who are not stats-minded.

[Will · Rating 3 out of 5]

For Advanced Spatial Analysis class.