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How-To Guides

Step 1: Extract arrival rates from real ADAE Studies​

We provide links to the raw data linked below. Alternatively, you have use the cleaned data provided in the data directory and skip to Step 2.

Camera trap dataset from LILA BC​

Data: Orinoquía Camera Traps
Code: extract_camtrap.py

Drone dataset from KABR​

Data: KABR Telemetry
Code: extract_kabr.py

Step 2: Model ADAE workloads​

Use change_points.py to extract change points and arrival rates for the time-varying Poisson process.

Visualize and analyze data with the Jupyter notebook provided.

Figure: ADAE Studies in the Field Figure 2: ADAE Studies in the field using networks of camera traps and drones