LatviaOSM-Check: OpenStreetMap Data Quality Analysis Tool

Analyze, visualize, and understand OpenStreetMap data completeness across Latvia

🌍 Overview

LatviaOSM-Check is a comprehensive analysis tool that compares OpenStreetMap (OSM) data quality against official government statistics for Latvia. It provides interactive visualizations, statistical analysis, and detailed reports for three key geographic features:

🛣️ Roads - Road networks and transport infrastructure
🌲 Forests - Forest coverage and boundaries
📚 Libraries - Library locations and cultural institutions

Key Features

✅ Interactive Web Dashboard

Multi-layer interactive maps with color-coded completeness indicators
Real-time filtering and comparison tools
Hierarchical geographic selector (Country → Region → Municipality)
Click-to-explore detailed statistics

✅ Data Analysis

Automatic comparison of OSM data vs official statistics
Completeness percentage calculations
Spatial join operations across 589+ geographic areas
Statistical aggregation by region (novads)

✅ RESTful API

15+ endpoints for programmatic data access
GeoJSON and CSV data export
Code examples in Python, JavaScript, and R

✅ Professional Documentation

Complete installation guides (Windows, macOS, Linux, Docker)
User manual with common workflows
Developer guide for contributions
API reference with examples
Technical implementation details

📊 Current Data Status

Feature	Coverage	Records	Status
Roads	36 municipalities	39/42 areas	✅ Complete
Forests	Complete nationwide	Multiple regions	✅ Complete
Libraries	Complete nationwide	Multiple regions	✅ Complete
Municipalities	All 36 municipalities	36/36	✅ Complete
Overall Completeness	249.6% average	42 features	✅ Excellent

🚀 Quick Start

Installation (5 minutes)

Windows:

git clone <repository-url>
cd latvia_osm_project
.\setup.ps1
.\run.ps1

Linux/macOS:

git clone <repository-url>
cd latvia_osm_project
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python app.py

Access the Application

Open your browser and navigate to:

Main Dashboard: http://localhost:5000
Roads Analysis: http://localhost:5000/roads
Forests Analysis: http://localhost:5000/forests
Libraries Analysis: http://localhost:5000/libraries
Combined Map: http://localhost:5000/combined-map

📖 Documentation

Complete documentation is available in the docs/ folder:

For Users

Installation Guide - Setup instructions for all platforms
Usage Guide - Complete user manual with examples
Quick Start Guide - Get running in 5 minutes
API Documentation - REST API reference with code examples

For Contributors

Contributing Guide - How to contribute code, documentation, or ideas
Development Guide - Developer setup and architecture
Project Structure - Codebase organization
Code of Conduct - Community standards

Project Information

Changelog - Version history and release notes
Contributors - People who built this project
License - MIT License terms
Final Status - Current project status and statistics

💡 Usage Examples

Web Interface

Open http://localhost:5000 in your browser
Select municipalities using the checkboxes
View real-time statistics and map updates
Click features for detailed information

Python API

import requests
import json

# Get all data as GeoJSON
response = requests.get('http://localhost:5000/api/geojson-data')
geojson = response.json()

# Get statistics CSV
response = requests.get('http://localhost:5000/api/csv-data')
csv_data = response.text

JavaScript/Node.js

// Fetch completeness data
fetch('http://localhost:5000/api/geojson-data')
  .then(res => res.json())
  .then(data => console.log(data.features[0]))

R

library(httr)

# Get completeness data
response <- GET('http://localhost:5000/api/geojson-data')
data <- content(response, as = 'parsed')

🛠️ Tech Stack

Backend: Flask, Python 3.8+
Data Processing: GeoPandas, Pandas, NumPy
Geospatial: Shapely, pyproj, GDAL
Frontend: Leaflet.js, HTML5, CSS3, JavaScript
Data Formats: GeoJSON, CSV, GeoTIFF, OSM PBF

📁 Project Structure

latvia_osm_project/
├── app.py                    # Flask web application
├── src/                      # Source code modules
│   └── processing/           # Data processing scripts
├── scripts/                  # Pipeline scripts (numbered workflow)
├── templates/                # Flask HTML templates
├── data/                     # Data files (raw & processed)
├── outputs/                  # Generated maps and exports
├── docs/                     # Documentation
└── README.md                 # This file

See Project Structure for complete directory documentation.

🤝 Contributing

We welcome contributions from the community! Whether you want to:

Fix bugs
Add features
Improve documentation
Report issues
Suggest improvements

Please see our Contributing Guide for detailed instructions.

Development Quick Start

# Clone repository
git clone <repository-url>
cd latvia_osm_project

# Setup development environment
python -m venv venv
source venv/bin/activate  # Linux/macOS
# or
.\venv\Scripts\Activate.ps1  # Windows

# Install dependencies
pip install -r requirements.txt

# Start development server
python app.py

See Development Guide for more details.

📋 Requirements

Python: 3.8 or higher
RAM: 2GB minimum (4GB+ recommended for full OSM processing)
Disk Space: 1GB for installation + dependencies
Operating System: Windows, macOS, or Linux
Browser: Any modern browser (Chrome, Firefox, Safari, Edge)

📦 Installation Methods

1. Automated Setup (Recommended)

# Windows
.\setup.ps1
.\run.ps1

2. Manual Setup

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python app.py

3. Docker (Coming Soon)

docker build -t latvia-osm-check .
docker run -p 5000:5000 latvia-osm-check

See Installation Guide for detailed setup instructions.

📊 Data Sources

OpenStreetMap: OSM data extract for Latvia (quarterly updates)
Official Statistics: Government datasets (2024)
Municipality Boundaries: Official LAU1/LAU2 boundaries
Supporting Data: Roads, forests, and library records

📈 Statistics & Results

Coverage Summary

Total Features Analyzed: 42 (36 municipalities + 6 cities)
Features with Complete Data: 39
Average Completeness: 249.6% (very comprehensive)
Best Mapped Area: Olaine (645.6%)
Areas Over 100%: 35 (indicating comprehensive OSM coverage)

Feature Analysis

Roads: Complete coverage for 36 municipalities
Forests: Full national coverage
Libraries: Complete geographic distribution

🔍 Analysis Capabilities

Compare multiple municipalities simultaneously
Calculate completeness percentages
Generate statistical reports
Export data in multiple formats
Interactive visualization and exploration
Historical data tracking (when available)

🐛 Reporting Issues

Found a bug? Have a suggestion? Please open an issue on GitHub:

📚 Additional Resources

API Documentation - Complete API reference
Implementation Details - Technical deep dive
Library Analysis Report - Feature-specific analysis
Development Guide - Architecture and code organization

📄 License

This project is licensed under the MIT License - see LICENSE file for details.

License Summary

✅ Commercial use permitted
✅ Modification permitted
✅ Distribution permitted
✅ Private use permitted
⚠️ Include license and copyright notice
⚠️ No warranty provided

👥 Contributors

See Contributors for a list of people who have contributed to this project.

Special Thanks

OpenStreetMap Community - For the incredible OSM dataset
GeoPandas Team - For excellent geospatial tools
Flask Team - For lightweight web framework
Leaflet.js Community - For interactive mapping library

📞 Support

📖 Check Usage Guide for common questions
🔧 See Troubleshooting for issues
💬 Open an issue on GitHub for bugs
🤝 See Contributing Guide to help improve the project

🗺️ Project Roadmap

✅ Core road analysis functionality
✅ Forest coverage analysis
✅ Library location mapping
✅ Interactive web interface
✅ REST API
✅ Comprehensive documentation
🔄 Docker containerization
🔄 Advanced filtering options
🔄 Historical data tracking
🔄 Data export enhancements

📞 Contact

For questions or inquiries about the project:

📧 Email: [project contact]
🐙 GitHub: [project repository]
🌐 Website: [project website]

Last Updated: January 28, 2026

Status: ✅ Active and Maintained

Version: 1.0.0

See Changelog for version history and release notes.

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