Intro to Raster Data

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Figure 1

Image 1 of 1: ‘Raster plot with ggplot2 using the viridis color scale’

Raster plot with ggplot2 using the viridis color scale

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Figure 2

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Figure 3

Image 1 of 1: ‘[decorative]’

The UTM zones across the continental United States. From: https://upload.wikimedia.org/wikipedia/commons/8/8d/Utm-zones-USA.svg

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Figure 4

Image 1 of 1: ‘Multi-band raster image’

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Plot Raster Data

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Reproject Raster Data

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Figure 1

Image 1 of 1: ‘Source: National Ecological Observatory Network (NEON).’

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Raster Calculations

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Figure 1

Image 1 of 1: ‘Source: National Ecological Observatory Network (NEON)’

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Work With Multi-Band Rasters

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Figure 6

Image 1 of 1: ‘Image Stretch’

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Figure 7

Image 1 of 1: ‘Image Stretch light’

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Open and Plot Shapefiles

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Figure 1

Image 1 of 1: ‘Extent image’

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Figure 2

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Explore and Plot by Vector Layer Attributes

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Figure 1

Image 1 of 1: ‘Map of the footpaths in the study area.’

Map of the footpaths in the study area.

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Figure 2

Image 1 of 1: ‘Map of the footpaths in the study area where each feature is colored differently.’

Map of the footpaths in the study area where each feature is colored differently.

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Figure 3

Image 1 of 1: ‘Map of the boardwalks in the study area.’

Map of the boardwalks in the study area.

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Figure 4

Image 1 of 1: ‘Map of the stone walls in the study area where each feature is colored differently.’

Map of the stone walls in the study area where each feature is colored differently.

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Figure 5

Image 1 of 1: ‘Roads and trails in the area.’

Roads and trails in the area.

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Figure 6

Image 1 of 1: ‘Roads and trails in the area demonstrating how to use different line thickness and colors.’

Roads and trails in the area demonstrating how to use different line thickness and colors.

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Figure 7

Image 1 of 1: ‘Roads and trails in the area with different line thickness for each type of paths.’

Roads and trails in the area with different line thickness for each type of paths.

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Figure 8

Image 1 of 1: ‘Roads and trails in the study area using thicker lines than the previous figure.’

Roads and trails in the study area using thicker lines than the previous figure.

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Figure 9

Image 1 of 1: ‘Map of the paths in the study area with large-font and border around the legend.’

Map of the paths in the study area with large-font and border around the legend.

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Figure 10

Image 1 of 1: ‘Map of the paths in the study area using a different color palette.’

Map of the paths in the study area using a different color palette.

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Figure 11

Image 1 of 1: ‘Roads and trails in the area highlighting paths where horses and bikes are allowed.’

Roads and trails in the area highlighting paths where horses and bikes are allowed.

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Figure 12

Image 1 of 1: ‘Map of the continental United States where the state lines are colored by region.’

Map of the continental United States where the state lines are colored by region.

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Plot Multiple Shapefiles

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Handling Spatial Projection & CRS

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Figure 1

Image 1 of 1: ‘[decorative]’

Maps of the United States using data in different projections. Source: opennews.org, from: https://media.opennews.org/cache/06/37/0637aa2541b31f526ad44f7cb2db7b6c.jpg

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Convert from .csv to a Shapefile

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Manipulate Raster Data

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Figure 1

Image 1 of 1: ‘Extent illustration’

Image Source: National Ecological Observatory Network (NEON)

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Figure 9

Image 1 of 1: ‘[decorative]’

Extract raster information using a polygon boundary. From https://www.neonscience.org/sites/default/files/images/spatialData/BufferSquare.png

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Figure 11

Image 1 of 1: ‘[decorative]’

Extract raster information using a buffer region. From: https://www.neonscience.org/sites/default/files/images/spatialData/BufferCircular.png

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Raster Time Series Data

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Image 1 of 1: ‘Source: National Ecological Observatory Network (NEON).’

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Create Publication-quality Graphics

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Derive Values from Raster Time Series

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