Determine ATC occupancy in airspace volumes from so6 traffic file
Flight data are managed with pandas / GeoPandas dataframes
Trajectories are built with movingpandas and intersections with airspace polygons are calculated with movingpandas functions
Example 1: portions of trajectories intersecting LFBB airspace during a given timeframe
Example 2: occupancy chart for the entire day (step 30 min, duration 60 min)
Run the demo_occupancy notebook to see how to build these examples with so6trajs module
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pandas - Python Data Analysis Library
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GeoPandas - GeoPandas is an open source project which extends the datatypes used by pandas to allow spatial operations on geometric types.
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movingpandas - Implementation of Trajectory classes and functions built on top of GeoPandas
- Thomas Dubot
This project is licensed under the MIT License - see the LICENSE.md file for details
Thanks to https://github.com/jbedouet for GeoJSON example and ATFCM expertise