A Hands-on Primer for Working with Big Data in R: Introduction to Hierarchical Data Formats, LiDar Data & Efficient Data Visualization
In the first half of the workshop, we will learn how to (1) access and visualize large datasets in these formats using R, and (2) to use metadata to efficiently integrate datasets from multiple ecological data sources for analysis. In the second half of the workshop, we will apply the knowledge from the first half to work through a practical example of integrating field-collected vegetation structure data with remotely sensed LiDAR data. For this example, we will use data collected by the National Ecological Observatory Network (NEON), a continental-scale, NSF-funded effort to collect and freely serve terabytes of data per year (stored in a diversity of formats) over the next 30 years to enable ecological research.
Participants should have some basic working knowledge or R and will leave the workshop with a basic understanding of the data that NEON and other large projects offer and some basic tools that support the use of Big Data to enhance their own research.
Registration Fee: $30