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
Andrea Antonello developed the Rockfall Trajectory Simulation Module (r.stone) for GRASS GIS in the OSGeo/grass-addons repository, enabling three-dimensional simulation of rockfall paths and probabilistic susceptibility analysis using raster outputs. Working primarily in C, Andrea focused on scientific computing and geospatial analysis, refactoring the codebase to improve maintainability by removing unused variables, simplifying function signatures, and updating the random number generation interface. The work addressed build system warnings and ensured release-ready quality, with no user-facing bug fixes required. This contribution provided a robust, maintainable simulation tool for GIS users, supporting advanced raster analysis and modeling of geospatial hazards.
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 people
Work 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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