Description
As with previous editions, Burt (U. of Wisconsin-Madison), Barber (Queen's U., Ontario, Canada), and Rigby's (UCLA) updated statistics text for geography students provides an accessible algebra-based introduction with explanations that rely on fundamentals and theoretical underpinnings, to enable students to use statistical methods in their own research, critically evaluate the work of others, and to handle new concepts encountered in advanced classes and later reading. The topics have been extensively reorganized for the third edition to reflect current developments in the field, and a substantial amount of new material has been added, including new chapters covering graphical methods, spatial relationships, analysis of variance, extending regression analysis, spatial analysis, and more worked examples with accompanying graphics. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)
Read More
Widely adopted, this uniquely comprehensive text introduces the techniques and concepts of statistics in human and physical geography. Unlike other texts that gloss over the conceptual foundations and focus solely on method, the book explains not only how to apply quantitative tools but also why and how they work. Students gain important skills for utilizing both conventional and spatial statistics in their own research, as well as for critically evaluating the work of others. Most chapters are self-contained in order to provide maximum flexibility in course design. Requiring no math beyond algebra, the book is well suited for undergraduate and beginning graduate-level courses. Helpful features include chapter summaries, suggestions for further reading, and practice problems at the end of each chapter. New to This Edition*Restructured and updated to reflect current developments in the field. *Five entirely new chapters cover graphical methods, spatial relationships, analysis of variance, extending regression analysis, and spatial analysis. *Features even more worked examples, many with accompanying graphics.*The companion website offers datasets and solutions to selected end-of-chapter exercises.
Read Less