Introduction to R and RStudio
Figure 1
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Figure 2
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Project Management With RStudio
Figure 1
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Data Structures
Exploring Data Frames
Subsetting Data
Data frame Manipulation with dplyr
Figure 1
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Figure 2
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Figure 3
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Introduction to Visualization
Figure 1
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Figure 2
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Figure 3
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Figure 4
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Figure 5
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Figure 6
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Figure 7
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Writing Data
Intro to Raster Data
Figure 1
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Figure 2
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Figure 3
The UTM zones across the continental United
States. From: https://upload.wikimedia.org/wikipedia/commons/8/8d/Utm-zones-USA.svg
Figure 4
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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Plot Raster Data
Figure 1
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Figure 2
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Figure 3
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Figure 4
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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Figure 11
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Reproject Raster Data
Figure 1
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Figure 2
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Figure 3
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Figure 4
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Figure 5
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Figure 6
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Open and Plot Vector Layers
Figure 1
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Image Source:National Ecological Observatory
Network (NEON).
Figure 2
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Explore and Plot by Vector Layer Attributes
Figure 1
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Figure 2
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Figure 3
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Figure 4
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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Figure 11
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Figure 12
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Plot Multiple Vector and Raster Layers
Figure 1
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Figure 2
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Figure 3
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Figure 4
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Handling Spatial Projection & CRS
Figure 1
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Maps of the United States using data in
different projections. Source: opennews.org, from: https://media.opennews.org/cache/06/37/0637aa2541b31f526ad44f7cb2db7b6c.jpg
Figure 2
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Figure 3
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Figure 4
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Figure 5
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Convert from .csv to a Vector Layer
Figure 1
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Figure 2
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Figure 3
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Manipulate Raster Data
Figure 1
Image Source: National Ecological
Observatory Network (NEON)
Figure 2
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Figure 3
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Figure 4
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
Image Source: National Ecological Observatory Network (NEON)
Figure 10
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Figure 11
Image Source: National Ecological Observatory Network (NEON)
Figure 12
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Create Publication-quality Graphics
Figure 1
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Figure 2
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Figure 3
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Figure 4
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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Figure 11
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