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Geographers, and other environmental and social scientists use quantitative methods such as statistics, to measure, describe, and make estimates about variables across the landscape. Developing solid skills in quantitative analysis should be a priority for any student in these fields.
The class covers the fundamentals of statistical analysis, including geographic data display, data description and summary, statistical inference and significance tests, analysis of variance, correlation, regression and basic spatial statistics.
At the conclusion of this course, students should be able to: 1) develop an understanding of important theoretical concepts in statistical analysis; and 2) gain experience in the application of statistics to spatial and other data using a statistical software R.
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