<commit_before>---
layout: workshop-event
title: "NEON & Data Carpentry Spatio-temporal Data Lesson Hackathon"
estimatedTime: 
packagesLibraries: 
language: []
date: 2015-11-03
dateCreated:   2015-11-03
lastModified: 2015-11-03
authors: [<NAME>]
tags: []
mainTag: Data-Workshops
categories: [workshop-event]
description: "The National Ecological Observatory Network (NEON) hosted a 3-day 
lesson building hackathon to develop a suite of NEON/Data Carpentry 
spatio-temporal data lesson tutorials."
code1: 
image:
  feature: NEONCarpentryHeader_2.png
  credit: A collaboration between the National Ecological Observatory Network (NEON) and Data Carpentry
  creditlink:
permalink: /Data-Workshops/NEON-DC-Spatio-Temporal-Data-Lesson-Hackathon
comments: true 
---

{% include _toc.html %}


**A NEON #WorkWithData Event**

## About the NEON / Data Carpentry Hackathon 


The National Ecological Observatory Network (NEON) hosted a 3-day 
lesson building hackathon to develop a suite of NEON/Data Carpentry data 
tutorials. The tutorials will be used to teach fundamental big data skills 
needed to work efficiently with large spatio-temporal data using open tools. 
Data lessons were initially developed in R.

<a href="http://www.neonscience.org/updates-events/events/hackathon-spatio-temporal-data-lesson-building" target="_blank">Learn more about the Hackathon on the NEON website.</a>

## Hackathon Results

This hackathon resulted in four lesson series that are used for workshops provided
by NEON and by Data Carpentry. The lessons are hosted on both the NEON Data Skills
site and the Data Carpentry site. . 

NEON Data Skills Tutorials

* <a href="{{ site.baseurl }}/tutorial-series/spatial-data-management-series" target=_blank> Introduction to Working With Spatio-Temporal Data and Data Management </a>
* <a href="{{ site.baseurl }}/tutorial-series/vector-data-series" target=_blank> Introduction to Working with Vector Data in R</a>
* <a href="{{ site.baseurl }}/tutorial-series/raster-data-series" target=_blank> Introduction to Working with Raster Data in R</a>
* <a href="{{ site.baseurl }}/tutorial-series/tabular-time-series" target=_blank> Introduction to Working with Time Series Data in Text format in R</a>


For the overview of the <a href="http://www.datacarpentry.org/lessons/#geospatial-data-workshop" target="_blank"> 
Data Carpentry Geo-spatial Data Workshop click here</a>. 


The hackathon also resulted in several lesson outlines that have not yet been 
completed. These are in rough draft form and contributions are welcomed. 

* <a href="https://github.com/data-lessons/NEON-R-Make-Pretty-Maps-Plots" target="_blank">Maps & Advanced Data Visualization in R</a>
* <a href="https://github.com/datacarpentry/NEON-R-Remote-Sensing" target="_blank">Introduction to Remote Sensing data in R</a>

## The Spatio-Temporal Data

The data used for the lesson building includes NEON and other complementary data.<commit_msg>correct list format<commit_after>---
layout: workshop-event
title: "NEON & Data Carpentry Spatio-temporal Data Lesson Hackathon"
estimatedTime: 
packagesLibraries: 
language: []
date: 2015-11-03
dateCreated:   2015-11-03
lastModified: 2015-11-03
startDate: 2015-10-21
endDate: 2015-10-23
authors: [<NAME>]
tags: []
mainTag: Data-Workshops
categories: [workshop-event]
description: "The National Ecological Observatory Network (NEON) hosted a 3-day 
lesson building hackathon to develop a suite of NEON/Data Carpentry 
spatio-temporal data lesson tutorials."
code1: 
image:
  feature: NEONCarpentryHeader_2.png
  credit: A collaboration between the National Ecological Observatory Network (NEON) and Data Carpentry
  creditlink:
permalink: /Data-Workshops/NEON-DC-Spatio-Temporal-Data-Lesson-Hackathon
comments: true 
---

{% include _toc.html %}


**A NEON #WorkWithData Event**

## The NEON & Data Carpentry Hackathon 


The National Ecological Observatory Network (NEON) hosted a 3-day 
lesson building hackathon to develop a suite of NEON and Data Carpentry data 
tutorials. The tutorials will be used to teach fundamental big data skills 
needed to work efficiently with large spatio-temporal data using open tools. 
Data lessons were initially developed in R.

<a href="http://www.neonscience.org/updates-events/events/hackathon-spatio-temporal-data-lesson-building" target="_blank">Learn more about the Hackathon on the NEON website.</a>

## Hackathon Results

This hackathon resulted in four lesson series that are used for workshops provided
by NEON and by Data Carpentry. The lessons are hosted on both the NEON Data Skills
site and the Data Carpentry site. . 

NEON Data Skills Tutorials

* <a href="{{ site.baseurl }}/tutorial-series/spatial-data-management-series" target="_blank"> Introduction to Working With Spatio-Temporal Data and Data Management </a>
* <a href="{{ site.baseurl }}/tutorial-series/vector-data-series" target="_blank"> Introduction to Working with Vector Data in R</a>
* <a href="{{ site.baseurl }}/tutorial-series/raster-data-series" target="_blank"> Introduction to Working with Raster Data in R</a>
* <a href="{{ site.baseurl }}/tutorial-series/tabular-time-series" target="_blank"> Introduction to Working with Time Series Data in Text format in R</a>


For the overview of the <a href="http://www.datacarpentry.org/lessons/#geospatial-data-workshop" target="_blank"> 
Data Carpentry Geospatial Data Workshop click here</a>. 


The hackathon also resulted in several lesson outlines that have not yet been 
completed. These are in rough draft form and contributions are welcomed. 

* <a href="https://github.com/data-lessons/NEON-R-Make-Pretty-Maps-Plots" target="_blank">Maps & Advanced Data Visualization in R</a>
* <a href="https://github.com/datacarpentry/NEON-R-Remote-Sensing" target="_blank">Introduction to Remote Sensing data in R</a>

## The Spatio-Temporal Data

The data used for the lesson building includes NEON and other complementary data.
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