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NEON EDUCATION

Devoted to open data and open source in science and education.

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LiDAR (7)
R programming (51)
Remote Sensing (12)
Data Visualization (4)
Hyperspectral Remote Sensing (7)
Hierarchical Data Formats (HDF5) (9)
Spatial Data & GIS (18)
Time Series (15)
Phenology (7)
Raster Data (8)
Vector Data (6)
Metadata (1)
Disturbance Events Teaching Module (1)

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dplyr (7)
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raster (26)
rasterVis (raster time series) (3)
rgdal (GIS) (22)
rgeos (3)
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sp (5)
scales (4)
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Welcome to the NEON Data Skills Portal!

This site contains data lessons, background materials and other resources that support working with large spatio-temporal datasets, like those offered by the NEON project.

We welcome any comments and feedback that you have and also materials that support or expand upon what’s available on this site!

Upcoming Events

NEON Data Institute 2017

Our 2016 Institute focuses on remote sensing of vegetation using open source tools to promote reproducible science. The primary computing language of this Institute is Python. This Institute will be held at NEON headquarters in June 2017.

Get Started With Our Data Tutorial Series!

Intro to Raster Data in R Series

A series of data tutorials that teach you how to open, plot and perform basic calculations on raster data in R. It also covers key spatial attributes associated with raster data include extent, projection and resolution. Finally we cover dealing with missing and bad data when working with remote sensing imagery.

Total tutorials: 8

Intro to Vector Data in R

The data tutorials in this series cover how to open, work with and plot with vector-format spatial data (points, lines and polygons) in R. Additional, topics include working with spatial metadata (extent and coordinate reference system), working with spatial attributes and plotting data by attributes.

Total tutorials: 6

Tabular Time Series Data in R

The tutorials in this series cover how to open, work with and plot with phenology-related micrometeorological data in R. Additional topics include working with time and date classes (e.g., POSIXct, POSIXlt, and Date), subsetting time series data by date and time and created facetted or tiles sets of plots.

Total tutorials: 9

3 Newest Data Tutorials

Interactive Data Vizualization with R and Plotly

Learn the basics of how to use the plotly package to create interactive plots and use the Plotly API in R to share these plots.

Data Activity: Visualize Palmer Drought Severity Index Data in R to Better Understand the 2013 Colorado Floods

This tutorial walks through how to download and visualize Palmer Drought Severity Index data in R. The data specifically downloaded for this activity allows one to to better understand a driver of the 2013 Colorado floods.

Data Activity: Visualize Precipitation Data in R to Better Understand the 2013 Colorado Floods

This lesson walks through the steps need to download and visualize precipitation data in R to better understand the drivers and impacts of the 2013 Colorado floods.