GEB-model/GEB
Mar 2025 – Mar 2025
1 Month active
Languages Used
PythonYAML
Technical Skills
Code RefactoringConfiguration ManagementData Catalog ManagementData EngineeringData ProcessingGeospatial Analysis
Tierolf
PROFILE
Tierolf
In March 2025, Ltf200 integrated GLOPOP-S gridded population data into the GEB-model/GEB repository, enhancing the model’s capacity for granular spatial analysis. Using Python and YAML, Ltf200 updated the data catalog to support new grid data paths and restructured the model setup to efficiently load and process gridded data. The work included optimizing agent data processing by subsetting households by unique grid cells and introducing a setup step for farmer household characteristics. Ltf200 also improved build configuration for reproducible deployments and performed targeted code refactoring. The changes deepened the model’s analytical capabilities and improved maintainability without introducing new bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
160
Activity Months1
Your Network
14 people
Work History
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for GEB model development. Key delivery: integration of GLOPOP-S gridded population data into the GEB model, updates to the data catalog with new grid data paths, and model setup changes to load/process gridded data for granular spatial analysis. Improved agent data processing by subsetting households by unique grid cells and added a setup step for farmer household characteristics. Performed targeted code cleanup to remove a redundant line and hardened build configuration to support stable onboarding of gridded population data. No major bugs reported; stabilization and data integration improvements achieved.
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for GEB model development. Key delivery: integration of GLOPOP-S gridded population data into the GEB model, updates to the data catalog with new grid data paths, and model setup changes to load/process gridded data for granular spatial analysis. Improved agent data processing by subsetting households by unique grid cells and added a setup step for farmer household characteristics. Performed targeted code cleanup to remove a redundant line and hardened build configuration to support stable onboarding of gridded population data. No major bugs reported; stabilization and data integration improvements achieved.
March 2025
Activity
Loading activity data...
Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Code RefactoringConfiguration ManagementData Catalog ManagementData EngineeringData ProcessingGeospatial AnalysisPopulation ModelingPython Scripting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline