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Pharos Data

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DataCite Commons2026-03-02 更新2025-09-08 收录
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https://figshare.com/articles/dataset/Pharos_Data/29817092
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IntroductionThis data repository includes the cleaned dataset for the Pharos application 2023-2024 data collection period (May 2023-March 2024). This dataset includes the full recurring network measurement (RNM), landmark (LM) datasets, as well as the county geographies used for the study catchment area. Also included in this dataset are the necessary software files to clean and visualize the collected data replicating the methods used in our published analysis.Figures Generated by This RepositoryRunning the Python scripts in this repository generates the following manuscript figures:<b>Figure 2</b> - Upload/download success counts and duration distributions by carrier<b>Figure 5</b> (top panel) - Count of datapoints per county (log scale)<b>Figure 5</b> (bottom panel) - Temporal trends for Kisumu county (radar plots by carrier)<b>Figure S2A</b> - Temporal trends for Siaya county<b>Figure S2B</b> - Temporal trends for Migori county<b>Figure S2C</b> - Temporal trends for Homa Bay countySetup and Execution Instructions for ReproductionPrerequisites<b>Python 3.9.16</b> (likely compatible, but untested with Python &gt;3.7)<b>pip</b> (Python package installer)Files Included<b>_main.py</b> - Main execution script<b>_clean_df.py</b> - Data cleaning module<b>_make_viz.py</b> - Visualization module<b>_clean_</b><b>lms.csv</b> - Landmark data<b>_clean</b><b>_</b><b></b><b>rnms</b><b>.csv</b> - Recurring network measurement data<b>_Counties</b><b>_WesternKenya.json</b> - Geographic boundaries for Western Kenya counties<b>requirements.txt</b> - Python package dependenciesArcGIS Figures Reproducibility Steps.pdf/.docx - Instructions for reproducing ArcGIS-generated figuresInstallation and ExecutionCreate a virtual environment (recommended, but not required)<br><code>python3 -m venv venv</code>Activate the virtual environment (recommended, but not required)<br><code>source venv/bin/activate</code>Install required packages<br><code>pip install -r requirements.txt</code>Run the analysis<br><code>python _main.py</code><br>The script will generate PNG files for <b>Figures 2</b>, <b>5</b>, <b>S2A</b>, <b>S2B</b>, and <b>S2C</b> at 300 DPI resolution, suitable for publication.Deactivate virtual environment when done (if used)<br><code>deactivate</code><b>Reproducing Other Manuscript Figures</b>Other figures in the manuscript (<b>Figure 4</b>, <b>Figure</b><b> 6</b>, <b>Figure</b><b> 7</b>, <b>Figure S</b><b>1</b>, <b>Figure</b><b> S3</b>, and <b>Figure</b><b> S4</b>) were created using ArcGIS Pro with the same RNM and LM datasets included in this repository. Step-by-step instructions for reproducing these ArcGIS-generated figures are provided in the included files: <b>ArcGIS Figures Reproducibility Steps.pdf</b> and <b>ArcGIS Figures Reproducibility Steps.docx</b>.
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figshare
创建时间:
2025-08-03
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