OSGeo/grass-addons
Apr 2025 – Apr 2025
1 Month active
Languages Used
C
Technical Skills
Build SystemC ProgrammingC programmingCode RefactoringGISGeospatial Analysis
Andrea Antonello
PROFILE
Andrea Antonello
Developed the Rockfall Trajectory Simulation Module (r.stone) for GRASS GIS within the OSGeo/grass-addons repository, enabling three-dimensional simulation of rockfall trajectories and probabilistic susceptibility analysis using raster outputs. Focused on C programming and scientific computing, the work included a comprehensive codebase refactor to enhance maintainability by removing unused variables, simplifying function signatures, and updating the random number generation interface. Addressed build system warnings and improved release readiness without introducing user-facing bug fixes. The module models rockfall as sequences of falling, bouncing, and rolling steps, providing valuable geospatial analysis capabilities for assessing rockfall hazards in GIS workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
4,193
Activity Months1
Your Network
24 peopleWork History
April 2025
2 Commits • 1 Features
Apr 1, 2025Month: 2025-04. Delivered the Rockfall Trajectory Simulation Module (r.stone) for GRASS GIS within OSGeo/grass-addons, enabling 3D rockfall trajectory simulation and probabilistic susceptibility analysis. Performed codebase refactor to improve maintainability, and cleaned build warnings to ensure release-ready quality. No user-facing bug fixes this month; focus was on delivering a robust feature and improving code health.
2 Commits • 1 Features
Apr 1, 2025Month: 2025-04. Delivered the Rockfall Trajectory Simulation Module (r.stone) for GRASS GIS within OSGeo/grass-addons, enabling 3D rockfall trajectory simulation and probabilistic susceptibility analysis. Performed codebase refactor to improve maintainability, and cleaned build warnings to ensure release-ready quality. No user-facing bug fixes this month; focus was on delivering a robust feature and improving code health.
April 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C
Technical Skills
Build SystemC ProgrammingC programmingCode RefactoringGISGeospatial AnalysisRaster AnalysisScientific ComputingSimulation Modeling
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