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Total Records
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Years Covered
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Regions
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Models
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Avg MAPE
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Avg Yield
Performance Metrics Across Countries and Models
Compare forecasting performance metrics across different countries, models, and lead times.
About CAPE Replication Project
The CAPE (Crop Assessment and Production Estimation) Replication Project is a comprehensive framework for crop yield forecasting and analysis. This dashboard provides interactive visualization and analysis of simulation results across multiple African countries.
Data Sources
- FEWS NET Data Warehouse for crop data
- Joint Research Centre for growing season data
- Earth observation data from various satellites
- Administrative boundary data
Countries Analyzed
Angola, Malawi, Mozambique, Somalia, South Africa, Zambia, Zimbabwe
Models Evaluated
Gradient Boosting (GB) and Linear Regression (LR) models with various lead times
Key Metrics
- Mean Absolute Percentage Error (MAPE)
- Root Mean Square Error (RMSE)
- Yield prediction accuracy
- Geographic performance distribution
Dashboard Features
- Interactive country selection
- Model performance comparison
- Temporal analysis
- Geographic visualization
- Comprehensive documentation
Technical Details
Built with Bootstrap, Plotly, and vanilla JavaScript for interactive web-based analysis.
Data Coverage
- 7 African countries
- 63,942+ simulation records
- Multiple model types
- Various lead times