This is a short-course style learning opportunity covering statistics in the context of soil science. Topics covered include: data and R (tabular and spatial data), exploratory data analysis, sampling, numerical taxonomy, uncertainty & validation, linear regression, generalized linear models, and tree-based models. This course provides lecture notes, exercises and projects for the user to learn and practice these topics.
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