This lesson is being piloted (Beta version)

OTN R - Acoustic Telemetry Workshop: Glossary

Key Points

Collaborating with OTN - Advantages and Best Practices
  • OTN is here to help you quality-control and match your telemetry data with all the other projects across their global network

Base R functions vs. Tidyverse
  • Many of the tasks you will need to do to analyze your data are made easier or more readable via Tidyverse methods.

Making basic plots using ggplot
  • You can feed output from dplyr’s data manipulation functions into ggplot using pipes.

  • Plotting various summaries and groupings of your data is good practice at the exploratory phase, and dplyr and ggplot make iterating different ideas straightforward.

Loading, formatting, and plotting spatial data objects
More Tidyverse functions useful for telemetry data analysis
Network analysis using detections of animals at stations
Interactive Exploration of Data / Animating ggplot with gganimate and gifski
Introduction to GLATOS Data Processing
More Features of GLATOS
Basic Visualization and Plotting
Basic Animations
Basic Tag and Receiver Simulations using GLATOS
What Analysis Should I Use?
Is This Software Package Any Good?
Applying Telemetry Data to Decision-Making

Glossary

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