Shark Tracker w/ MovingPandas | Python & Streamlit

In this video, we explore the powerful MovingPandas library and its wide range of features for spatiotemporal data analysis. Using real-world shark tracking data from Guadalupe Island, Mexico, we showcase how MovingPandas can be applied to analyze movements, calculate metrics, and visualize patterns.
📝 Topics covered in this video:
Introduction to MovingPandas and spatiotemporal data
Loading and preprocessing shark tracking data
Creating trajectory collections and calculating movement metrics
Visualizing trajectories, speed distributions, and path simplifications
Applying smoothing techniques and calculating coverage areas
Aggregating data to generate heatmaps of shark activity
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