QGIS pypopRF Plugin Documentation
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Quick Navigation
About pypopRF
pypopRF is a comprehensive population mapping tool developed by the WorldPop SDI Team. It transforms your input data into detailed population distribution maps using advanced machine learning techniques. The plugin combines census data, building information, and various spatial constraints to create highly accurate population estimates.
π‘ Technical Foundation: The plugin is built on the pypopRF Python package, which provides the core computational functionality. While the plugin makes these tools accessible through a graphical interface, advanced users can also use the Python package directly for more customized workflows.
β οΈ Note: For advanced features and detailed technical documentation of the underlying algorithms, please refer to the pypopRF documentation.
Key Features
Core Functionality
- πΊοΈ High-resolution population distribution mapping
- π€ Machine learning-based prediction using Random Forest
- π Advanced dasymetric mapping techniques
- π Comprehensive statistical analysis
Advanced Features
- π₯ Age and sex structure mapping
- π§ Water mask integration
- ποΈ Building footprint constraints
- π Parallel processing support
- π Real-time progress monitoring
- π― Customizable processing parameters
How It Works
graph TD
Init[Initialize Project] --> InputA[Load Census Data]
Init --> InputB[Load Mastergrid]
Init --> InputC[Load Covariates]
subgraph "Optional Inputs"
InputD[Water Mask]
InputE[Constraints]
InputF[Age-Sex Data]
end
InputA & InputB & InputC & InputD & InputE & InputF --> Config[Configure Settings]
Config --> Process[Run Analysis]
Process --> ML[Machine Learning]
ML --> Pred[Population Prediction]
Pred --> NormA[Basic Normalization]
Pred --> NormB[Constrained Normalization]
NormA --> PopA[Population Distribution]
NormB --> PopB[Constrained Distribution]
InputF --> AgeMap[Age-Sex Distribution]
style Init fill:#dcedc8,stroke:#558b2f
style Process fill:#fff3e0,stroke:#ff6f00
style ML fill:#e1f5fe,stroke:#0277bd
Plugin Interface
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Main plugin interface with enhanced features
Key Components:
Project Tab: Initialize project and manage settings
Input Data Tab: Configure required and optional data files:
- Census data (required)
- Mastergrid (required)
- Covariates (required)
- Water mask (optional)
- Constraints (optional)
- Age-sex structure data (optional)
Settings Tab: Adjust processing parameters:
- Parallel processing options
- Block processing settings
- Census field mappings
- Output preferences
Console: Monitor progress and view detailed logs
Control Panel: Start/stop analysis and track progress
Analysis Results
The plugin generates multiple output layers showing different aspects of the analysis:
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1. Normalized Census
Census-adjusted values
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2. Unconstrained Population
Basic population distribution
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3. Constrained Population
Distribution with spatial constraints
Additional Outputs
- π Age-Sex Structure Maps: When age-sex data is provided
- π Feature Importance: Analysis of predictor variables
- π Processing Logs: Detailed analysis records
- π€ Model Files: Saved for future use
Processing Features
β Enhanced Processing
- Multi-threaded computation
- Block-based processing for large datasets
- Progress tracking for each step
- Memory-efficient operations
- Robust error handling
β οΈ Important Considerations
- Ensure consistent coordinate systems across all inputs
- Verify data quality and completeness
- Monitor system resources during processing
- Regularly backup project files
- Consider memory requirements for large datasets
Support and Resources
- π Report Issues: GitHub Issues
- π§ Get Help: Contact WorldPop SDI Team
- π Documentation: Continue reading guides below
- π Updates: Check GitHub Releases
About WorldPop SDI
The WorldPop Spatial Data Infrastructure (SDI) Team at the University of Southampton specializes in:
- High-resolution population mapping
- Spatial demographics
- Open-source geospatial tools
- Machine learning for population estimation
- Demographic data integration
License
The QGIS pypopRF plugin is released under the MIT License. See the LICENSE file for details.
Next Steps:
- Installation Guide
- Quick Start Guide
- User Interface Guide