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Statistical Methods for Geography
Statistical Methods for Geography is a systematic introduction to the essential techniques that all students must understand to complete a module in statistical analysis. It provides an integrated overview of spatial data and spatial data analysis.
Key features include:
- An applied focus on methods for geographers: the text presents a detailed discussion of regression analysis and autocorrelation - the principal methods of statistical inference used in geography.
- An introduction to the principles of spatial analysis and spatial patterns, including probability and probability models; hypothesis testing and sampling; analysis of variance; point patterns; and patterns in areal data.
Key features include:
- An applied focus on methods for geographers: the text presents a detailed discussion of regression analysis and autocorrelation - the principal methods of statistical inference used in geography.
- An introduction to the principles of spatial analysis and spatial patterns, including probability and probability models; hypothesis testing and sampling; analysis of variance; point patterns; and patterns in areal data.
248 pages, Paperback
First published August 1, 1900
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Displaying 1 - 2 of 2 reviews
August 19, 2009
Most statistical texts are dry and boring, but this one is an exception to the rest. I also LOVE Professor Rogerson's use of exclamation points thoughout the book.
May 7, 2016
Read it for class.
Displaying 1 - 2 of 2 reviews