Welcome to the NEON Data Skills Portal! feature image Source: National Ecological Observatory Network (NEON)


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R programming (56)
Hierarchical Data Formats (HDF5) (15)
Spatial Data & GIS (22)
LiDAR (10)
Raster Data (14)
Remote Sensing (25)
Data Visualization (4)
Hyperspectral Remote Sensing (18)
Time Series (17)
Phenology (8)
Vector Data (6)
Metadata (1)
Git & GitHub (7)
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dplyr (9)
ggplot2 (18)
h5py (2)
lubridate (time series) (7)
maps (1)
maptools (1)
plyr (2)
raster (26)
rasterVis (raster time series) (3)
rgdal (GIS) (24)
rgeos (2)
rhdf5 (11)
sp (5)
scales (4)
gridExtra (4)
ggtheme (0)
grid (2)
reshape2 (3)
plotly (5)

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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.

The NEON Data Skills resources are now fully integrated with
other NEON project resources on the www.NEONScience.org website. All the resources available here are available in the updated NEON Data Skills section . The updated structure will allow for increased searchability and integration with NEON data products.

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

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

Using the NEON API in R

Tutorial for getting data from the NEON API, using R and the R package httr

Use the neonDataStackR package to access NEON data

Convert data downloaded from the NEON Data Portal in zipped month-by-site files into a table with all data of interest. Temperature data is used as an example.

Plot Continuous & Discrete Data Together

This tutorial discusses ways to plot plant phenology (discrete time series) and single-aspirated temperature (continuous time series) together.