Example README
Project Type: [Library/Tool/Research/Data]
Concise purpose statement + objectives
Example:
"This library provides real-time geospatial analysis for urban mobility datasets. Goal: Enable researchers to process GPS traces at scale. Vision: Become the standard toolkit for municipal transportation studies."
High-level trajectory + milestones
Example:
- Q3 2025: Alpha release with core clustering algorithm
- Q4 2025: API integration with Manifold Data Hub
- Q1 2026: Visualization module & user docs
Updates
Recent significant changes
Example:
2025-07-10: Migrated to PyTorch 2.0 β’ 2025-06-22: Added pedestrian movement benchmarks
Getting Started
(Include ONLY if applicable)
Requirements
Dependencies/environment
Example:
conda create -n manifold-env python=3.10
pip install -r requirements.txt
How to Run
(Include ONLY for executable projects)
Example:
python
from manifold_geo import Processor
results = Processor.load("data/").analyze(method="grid")
Repository Structure
Key directories explained
markdown
βββ data/ # Sample datasets (small-scale only)
βββ docs/ # Usage documentation
βββ manifold_geo/ # Core Python package
β βββ __init__.py
βββ tests/ # Unit/integration tests
βββ Dockerfile # Containerization config
Examples of Usage
Practical implementation snippets
Example:
https://colab.research.google.com/assets/colab-badge.svg
Open Issues
Known limitations + planned work
markdown
- [ ] #42: Improve memory efficiency >10GB datasets
- [ ] #38: Add OpenStreetMap integration
How to Contribute
Contributor workflow
markdown
1. Fork β `feat/` branch
2. Pass tests: `pytest tests/`
3. Update [CONTRIBUTING.md](CONTRIBUTING.md)
π License & Attribution
(Mandatory section)
Citation:
bibtex
@software{Manifold_UrbanGeo_2025,
author = {Manifold Research Group},
title = {{ProjectName}: Geospatial analysis toolkit},
url = {https://github.com/ManifoldRG/project},
version = {0.1.0},
year = {2025}
}
License: MIT
Acknowledgements: NSF Award #203445 β’ City of Seattle Open Data Portal