Interactive PILR heatmap visualization on OpenStreetMap
Project description
PILR Visualization
Interactive PILR (Point-in-time Light Rail) heatmap visualization on OpenStreetMap using Dash and Plotly.
Features
- Interactive OpenStreetMap-based visualization
- Time range selection via dropdowns
- Grid-based spatial aggregation (50m resolution)
- Geometric mean PILR calculation
- Real-time statistics display
Installation
From PyPI (once published)
pip install pilr-visualization
From source
git clone https://github.com/yourusername/pilr-visualization.git
cd pilr-visualization
pip install -e .
Usage
After installation, run:
pilr-viz
Then open your browser to http://localhost:8051
Development
Install development dependencies:
pip install -e ".[dev]"
Requirements
- Python 3.8+
- pandas
- numpy
- plotly
- dash
License
MIT License
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