Interactive exploration of data—animating ggplot with gganimate and gifski
In this course, Jonathan Pye, director of data operations at OTN, will teach you how to make your data compatible with spatial mapping packages. You'll learn how to create summaries and plots of animal movements using Tidyverse, how to pull in a bathymetric map of the study region, plot stations onto the map, perform network analysis, and more.
By the end of this session, you’ll have the tools you need to create an animation of animal movement.
This course is part of an acoustic telemetry workshop series and includes examples that will help you along the way. Before you get started, make sure to download and install the files required for this lesson: https://ocean-tracking-network.github...
Questions
How do I plot my data on a map if my coordinates aren’t in latitude and longitude?
Where can I find environmental data for my study area (like bathymetry)?
What dplyr functions are useful to analyze my data?
What are some example workflows for analyzing telemetry datasets
How do I prepare my data in order to apply network analysis?
How can I explore my data interactively
How can I avoid ‘overplotting’ my data when performance is a factor?
How do I animate my tracks?
Objectives
Learn how to register the spatial component of your dataset, creating a spatial object
Learn how to re-project spatial data objects into different coordinate systems
Learn to create new metrics from the base data using dplyr.
Create and plot our summary statistics, or save them to new columns and use them in further calculations.
solate one individual and animate his paths between receivers using gganimate and gifski.
This video follows episodes 3-6 of the OTN R curriculum:
Episode 3: https://ocean-tracking-network.github...
Episode 4: https://ocean-tracking-network.github...
Episode 5: https://ocean-tracking-network.github...
Episode 6: https://ocean-tracking-network.github...
View the OTN R—Acoustic Telemetry Workshop playlist here: • Acoustic telemetry workshop
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