This repo is the building space for lessons on working with Vector Data in R. Once the lessons are developed and ready for publication, the lessons are moved to and published in the NEON Data Skills Git Repo and live at www.neondataskills.org.
NEON Data Skills provides tutorials and resources for working with scientific data. NEON (National Ecological Observatory Network is an ecological observatory, solely funded by the National Science Foundation that will collect and provide open data for 30 years.
Education is a key component of the NEON mission. As such this site serves to facilitate use of data in both science and education.
The original materials were developed during a lesson building hack-a-thon jointly organized by Leah Wasser (NEON), Tracy Teal (Data Carpentry), Mike Smorul (National Socio-Environmental Synthesis Center (SESYNC) and Jason William (iPlant Collaborative).
Hack-a-thon participants included Mike Alonzo, Sean Barberie, Ben Best, Zack Bryn, Jonah Duckles, Marisa Guarinello, Jeff Hollister, Megan A. Jones, Matthew Kwit, Kristina Riemer, Dave Roberts, Keely Roth, Mike Smorul, Courtney Soderberg, Joseph Stachelek, Kaitlin Stack Whitney, Tracy Teal, Leah A. Wasser, Jason Williams, and Meg Williams.
The results of this collaboration are four tutorial series hosted on the NEON Data Skills portal (neondataskills.org) and also taught as Data Carpentry workshops (www.datacarpentry.org).
Contributors to this repo include Megan Jones, Sarah Newman, Joseph Stachelek, and Leah Wasser.
Data used in these lessons, can be found on the NEON Data Skills Teaching Data Subsets figshare page .
This data was curated into a teaching data subset by Leah A. Wasser. Original sources of the data include NEON Airborne Data, the U.S. Geological Survey (USGS) Landsat Satellite, the Harvard Forest, and the US Census Bureau
Having a problem getting something to work or want to know why we set up something in a certain way? Email us at neondataskills @ neoninc.org, ping Leah Wasser on Twitter @leahawasser or file a GitHub Issue. And if you have a cool resource that you think would add to the site, please let us know!
This site uses the Minimal Mistakes these for Jekyll. The theme is open source software GNU General Public License version 2 or later.