R Data Lab: Using Forest Census Data from the ForestGEO Network

<p><strong>Data Lab with Forest Census Surveys</strong></p> <p>The globally coordinated <a href="https://forestgeo.si.edu">ForestGEO network</a> encompasses dozens of sites worldwide, with thousands of research leaders and staff, and over seven million trees. That much data (or even a lot less) can feel overwhelming at times, but we can take advantage of the consistent structure to gain powerful insights from this wealth of information. In this activity, students will focus on one 25.6-ha forest census plot from the Smithsonian Conservation Biology Institute (Virginia, USA). The goal of the lab activity is to use standardized forest census data to produce summary statistics and figures, in order to gain an understanding of the qualities of the SCBI plot, from a single stem to the entire forest. Students will run pre-written code, complete some fill-in-the-blank "sing-along style" code, and write their own code from scratch, with increasingly complex tasks as the lab progresses.</p> <p><strong>Recommended Preparation:</strong></p> <p>Students will benefit from having R and RStudio already installed, if using personal computers. I highly recommend providing students with Chapters 1-3 of Shelly Gaynor's "<a href="http://doi:10.25334/84FC-TE88">Introduction to R with Biodiversity Data</a>," if they are new to R or need some review. You can also catch up on the who, what, and why of the ForestGEO research network by watching their 7-minute <a href="https://youtu.be/02UTPPmiKyM?si=N97_zO94dn-72Kbr">video</a>. </p> <p><strong>Follow-Up Assignment:</strong></p> <p>After they've completed the Data Lab with the SCBI data, students will work in groups to pick another ForestGEO site for their final group projects.  Have them conduct all the same exploratory analyses from the data lab on the data from their new study site. The results will be shared in a 10-15 minute group presentation, the final assessment for the unit. In addition to summary figures and facts about the forest as an ecosystem, the presentations should include information and insights about the social and cultural aspects of the forest. How are the human-environment interactions here similar to those in other forests around the world? How are they unique?</p> <p><strong>Learning Objectives: </strong></p> <ul> <li>Learn (or review) basic and intermediate data manipulation in R</li> <li>Use data to create summary figures</li> <li>Pose a question based on existing datasets</li> <li>Compare economic and cultural uses of forest land and forest species in different parts of the world</li> </ul>

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Publication Details

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QUBES
Published
2026-02-01
DOI
https://doi.org/10.25334/7662-cr69
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Data Analysis with R
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article

R Data Lab: Using Forest Census Data from the ForestGEO Network

Paige V. Kouba
QUBES
Data Analysis with R
article

R Data Lab: Using Forest Census Data from the ForestGEO Network

Paige V. Kouba
article en

Abstract

<p><strong>Data Lab with Forest Census Surveys</strong></p> <p>The globally coordinated <a href="https://forestgeo.si.edu">ForestGEO network</a> encompasses dozens of sites worldwide, with thousands of research leaders and staff, and over seven million trees. That much data (or even a lot less) can feel overwhelming at times, but we can take advantage of the consistent structure to gain powerful insights from this wealth of information. In this activity, students will focus on one 25.6-ha forest census plot from the Smithsonian Conservation Biology Institute (Virginia, USA). The goal of the lab activity is to use standardized forest census data to produce summary statistics and figures, in order to gain an understanding of the qualities of the SCBI plot, from a single stem to the entire forest. Students will run pre-written code, complete some fill-in-the-blank "sing-along style" code, and write their own code from scratch, with increasingly complex tasks as the lab progresses.</p> <p><strong>Recommended Preparation:</strong></p> <p>Students will benefit from having R and RStudio already installed, if using personal computers. I highly recommend providing students with Chapters 1-3 of Shelly Gaynor's "<a href="http://doi:10.25334/84FC-TE88">Introduction to R with Biodiversity Data</a>," if they are new to R or need some review. You can also catch up on the who, what, and why of the ForestGEO research network by watching their 7-minute <a href="https://youtu.be/02UTPPmiKyM?si=N97_zO94dn-72Kbr">video</a>. </p> <p><strong>Follow-Up Assignment:</strong></p> <p>After they've completed the Data Lab with the SCBI data, students will work in groups to pick another ForestGEO site for their final group projects.  Have them conduct all the same exploratory analyses from the data lab on the data from their new study site. The results will be shared in a 10-15 minute group presentation, the final assessment for the unit. In addition to summary figures and facts about the forest as an ecosystem, the presentations should include information and insights about the social and cultural aspects of the forest. How are the human-environment interactions here similar to those in other forests around the world? How are they unique?</p> <p><strong>Learning Objectives: </strong></p> <ul> <li>Learn (or review) basic and intermediate data manipulation in R</li> <li>Use data to create summary figures</li> <li>Pose a question based on existing datasets</li> <li>Compare economic and cultural uses of forest land and forest species in different parts of the world</li> </ul>

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Life in Land
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Data Analysis with R
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