Environmental Data Science
Background
This course is taught every fall at Emory. Below, you’ll find links to the tutorials we cover in the class.
Content
Most of the programming material for this course has been collapsed into RMarkdown documents I call “programming tutorials”. Below, you’ll find links to all of the tutorials we covered in this course:
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Introduction to
R - File management tips
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Introduction to
dplyr -
Introduction to
ggplot -
Descriptive statistics in
R - Correlation (it ain’t causation)
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Working with spatial data in
Rusingsf -
Projection, what is it, how does it work in
R? -
Making maps in
R! -
Rasters in
R - Linear regression
- Predictve modeling with random forests
- Fancy-pants-advanced-R