semvec/pypi-packages huggingface dataset:
verus 1.0.1
A scientific tool to extract and analyze urban spatiotemporal vulnerability.
License: MIT License
Requires Python: >=3.8
Keywords: GIS, Vulnerability, Assessment, OpenStreetMap, Clustering

![LES2 Logo](./src/figures/les2banner.png)

# VERUS

_Vulnerability Evaluation for Resilient Urban Systems_

![Python](https://img.shields.io/badge/Python-3.8%2B-blue?style=for-the-badge&logo=python)
![Jupyter Notebook](https://img.shields.io/badge/Jupyter-Notebook-orange?style=for-the-badge&logo=jupyter)
![OSMnx](https://img.shields.io/badge/OSMnx-1.1.1-blue?style=for-the-badge&logo=openstreetmap)
![Folium](https://img.shields.io/badge/Folium-0.12.1-green?style=for-the-badge&logo=folium)
[![Documentation](https://img.shields.io/badge/docs-latest-brightgreen?style=for-the-badge)](https://joaocarlos.github.io/verus/)
![Version](https://img.shields.io/badge/version-0.1.0-blue?style=for-the-badge&logo=github)

## Description

VERUS (Vulnerability Evaluation for Resilient Urban Systems) is a Python library for extracting points of interest from OpenStreetMap, clustering them based on spatial proximity and time-based vulnerability indices, and analyzing urban vulnerability patterns.

## Documentation

Comprehensive documentation is available at [https://joaocarlos.github.io/verus/](https://joaocarlos.github.io/verus/)

## Publications

-   Bittencourt, J. C. N., Costa, D. G., Portugal, P., & Vasques, F. (2024). A data-driven clustering approach for assessing spatiotemporal vulnerability to urban emergencies. Sustainable Cities and Society, 108, 105477. <https://doi.org/10.1016/j.scs.2024.105477>

## Installation

```bash
pip install verus
```

## Reproducing Results

To reproduce the results from the paper, run the following Jupyter Notebooks:

-   [01-Porto.ipynb](./notebooks/01-Porto.ipynb)
-   [02-Lisbon.ipynb](./notebooks/02-Lisbon.ipynb)
-   [03-Paris.ipynb](./notebooks/03-Paris.ipynb)

## Usage

## Contributions

## Licence

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.