Metadata-Version: 2.2
Name: pilr-visualization
Version: 0.1.1
Summary: Interactive PILR heatmap visualization on OpenStreetMap
Home-page: https://github.com/yourusername/pilr-visualization
Author: Your Name
Author-email: your.email@example.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: pandas>=1.5.0
Requires-Dist: numpy>=1.21.0
Requires-Dist: plotly>=5.0.0
Requires-Dist: dash>=2.0.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# 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)
```bash
pip install pilr-visualization
```

### From source
```bash
git clone https://github.com/yourusername/pilr-visualization.git
cd pilr-visualization
pip install -e .
```

## Usage

After installation, run:
```bash
pilr-viz
```

Then open your browser to `http://localhost:8051`

## Development

Install development dependencies:
```bash
pip install -e ".[dev]"
```

## Requirements

- Python 3.8+
- pandas
- numpy
- plotly
- dash

## License

MIT License
