OSGeo/grass-addons
Jun 2025 – Jun 2025
1 Month active
Languages Used
HTMLMakefilePythonShell
Technical Skills
GISGeophysicsParallel ProcessingRaster ProcessingScientific ComputingVector Processing
dwcf77
PROFILE
Dwcf77
During June 2025, David Farris developed the r.gravity.terrain tool for the OSGeo/grass-addons repository, addressing gravity terrain corrections in regions with complex topography. He engineered the solution to process digital elevation models and gravity station data using Python and Shell, incorporating multi-threaded parallel processing to efficiently handle large raster datasets. The tool implements a configurable terrain correction formula, allowing users to specify minimum and maximum distances for analysis. David’s work focused on scientific computing and geophysics, providing documentation and tests to support broader adoption. This contribution laid a technical foundation for scalable, terrain-aware gravity data processing within the GRASS ecosystem.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
481
Activity Months1
Your Network
24 people
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025: Delivered the GRASS-addons tool r.gravity.terrain for gravity terrain corrections in topographically complex regions, enabling terrain-aware gravity data processing at scale. The solution leverages DEMs and gravity station data with multi-thread parallel processing and a terrain correction formula with configurable minimum and maximum distances. This work aligns with issue #1413 and lays groundwork for broader adoption with documentation and tests.
1 Commits • 1 Features
Jun 1, 2025June 2025: Delivered the GRASS-addons tool r.gravity.terrain for gravity terrain corrections in topographically complex regions, enabling terrain-aware gravity data processing at scale. The solution leverages DEMs and gravity station data with multi-thread parallel processing and a terrain correction formula with configurable minimum and maximum distances. This work aligns with issue #1413 and lays groundwork for broader adoption with documentation and tests.
June 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
HTMLMakefilePythonShell
Technical Skills
GISGeophysicsParallel ProcessingRaster ProcessingScientific ComputingVector Processing
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