ORTEGA-PySpark

ORTEGA-PySpark is a Spark-based geo-computational tools to optimize time geography to movement interaction analysis. It enhances the ORTEGA Python Package using GeoAnalytics Engine and leveraging Spark-based distributed computing to scale up its anlytical capabilities for larger datasets. Around 2 million GPS tracking data of 84 turkey vultures collected from 2003 to 2023 are used as a case study.

Citation info:

Su, R., Liu, Y. & Dodge, S. (2024). ORTEGA v1.0: an open-source Python package for context-aware interaction analysis using movement data. Movement Ecology 12, 20.

Bildstein KL, Barber D, Bechard MJ, Graña Grilli M, Therrien J. (2021). Data from: Study "Vultures Acopian Center USA GPS" (2003-2021). Movebank Data Repository

Liu, Y., Battersby S., & Dodge, S. (2024). Scaling up time-geographic computation for movement interaction analysis. Transaction in GIS. 00: 1–17.

Data

The dataset associated with this project is too large for direct inclusion in this GitHub repository. Please download the data from Movebank Data Repository to replicate the analysis. Unzip the folder and all the contents and store in your directory as follows.

ORTEGA-PySpark
│   README.md
│   LICENSE
└───Code
    │   Create_PPA.ipynb
    │   Interaction_Analysis.ipynb
    │   Performace_Evaluation.ipynb
    |   Configurations.md
    │       
└───Result_parquet
    │   concurrent_events_All.parquet
    │   concurrent_intersect_PPAs_All.parquet
    │   delay_1d/1w/2w/3w/4w_events_All.parquet
    │   delay_1d/1w/2w/3w/4w_intersect_PPAs_All.parquet
    |   metadata sheet.xlsx

Getting Started

1. Clone the Repository: Clone or download this repository to your local computer.
2. Date Setup: Download the vulture tracking data from the above link and place it in the Data directory.
3. GeoAnalytics Engine Setup: Install and set up GeoAnalytics Engine. The configuration setting we used is shown in Configurations.md.
4. Generate PPAs: Open the jupyter notebook file Create_PPA.ipynb in the Code directory to view and generate PPAs from tracking data. Ensure you have installed all necessary libraries.
5. Run the Interaction Analysis: Open the jupyter notebook file Interaction_Analysis.ipynb in the Code directory to run the concurrent and delayed interaction analysis. The descriptions of the output columns for "events" and "intersect_PPAs" parquet are shown in metadata sheet.

License

ORTEGA-PySpark is licensed under the MIT license. See the LICENSE file for details.