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

1. Open http://localhost:5000 in your browser
2. Select municipalities using the checkboxes
3. View real-time statistics and map updates
4. 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:

• Report Bug
• Suggest Feature

📚 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]

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Last Updated: January 28, 2026

Status: ✅ Active and Maintained

Version: 1.0.0

See Changelog for version history and release notes.