CERF 2021 Workshop

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Use R to Manipulate and Visualize Environmental Data I (Introductory Level) 

 — SOLD OUT  

Wednesday, 3 November 2021

2:45 PM – 4:45 PM ET
11:45 AM – 1:45 PM PT

Regular: $28  |  Student: $24
Maximum 40 participants.

  This workshop is SOLD OUT.  

If you would like to be added to the waitlist, please email the CERF Office at i[email protected]. Please include your name, email, and the title of this workshop.


About This Workshop

Environmental data sets are often quite messy. This workshop is aimed to enhance participants’ skills to use R to convert environmental data sets to meaningful inferences and elegant visualizations. This workshop will give the participants to learn and practice on four essential types of data analysis in R, namely, (1) data importing and cleaning, (2) data manipulation and visualization, (3) spatial analysis, and (4) reproducible data analysis workflow. Each of the four topics will be covered in a separate session that includes a lecture, an exercise, and a break (90 minutes in total).

Learn more about Part II.

 About the Presenters

Qian Zhang, PhD

Qian Zhang Photo

Dr. Qian Zhang is an assistant research scientist at the University of Maryland Center for Environmental Science. He works at the USEPA Chesapeake Bay Program Office to explore natural and anthropogenic-based causes behind the current status and long-term trends in the water quality of Chesapeake Bay and its tributaries. He uses R on a daily basis for manipulation, visualization, and statistical analysis of watershed and estuarine data sets. The instructor's webpage: https://www.umces.edu/qian-zhang.
Isabella Bertani, PhD
Isabella BertaniPhoto

Dr. Isabella Bertani is an assistant research scientist at the University of Maryland Center for Environmental Science. She is a quantitative ecologist with a focus on developing predictive modeling tools that quantify aquatic ecosystem responses to anthropogenic pressures. Before joining the USEPA Chesapeake Bay Program Office, she worked on exploring environmental drivers of harmful algal blooms in Lake Erie and long-term trends in water quality in high-mountain lakes in Italy. R has been her programming language of choice throughout her work.