GEO-BON/bon-in-a-box-pipelines
Feb 2025 – Feb 2025
1 Month active
Languages Used
RTSVYAML
Technical Skills
Configuration ManagementData AnalysisData ManagementData ProcessingData VisualizationData manipulation
Maria Isabel Arce
PROFILE
Maria Isabel Arce
Worked on the GEO-BON/bon-in-a-box-pipelines repository to deliver targeted updates supporting habitat-area workflows and visualization pipelines for Myrmecophaga tridactyla. Focused on robust data processing in R, the work included converting binary raster data to polygons with careful NA handling, updating range maps and configurations for reproducibility, and enhancing visualization stability by migrating plotting to ggplot2. Data management and dependency updates ensured accurate habitat-area estimates and streamlined downstream analyses. Obsolete data for Saguinus oedipus was removed to maintain repository clarity. The approach emphasized reproducible research practices, clear error messaging, and comprehensive test data to support conservation decision-making.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
16Total
Bugs
1
Commits
16
Features
2
Lines of code
96
Activity Months1
Your Network
6 peopleWork History
February 2025
16 Commits • 2 Features
Feb 1, 2025February 2025 highlights for GEO-BON/bon-in-a-box-pipelines: Delivered robust habitat-area workflow updates for Myrmecophaga tridactyla, enhanced SHI visualization pipelines, and cleaned obsolete data to improve reproducibility and data clarity. The work prioritized accurate habitat-area estimates, stable visualization, and clean data assets to support conservation decision-making and downstream analyses.
16 Commits • 2 Features
Feb 1, 2025February 2025 highlights for GEO-BON/bon-in-a-box-pipelines: Delivered robust habitat-area workflow updates for Myrmecophaga tridactyla, enhanced SHI visualization pipelines, and cleaned obsolete data to improve reproducibility and data clarity. The work prioritized accurate habitat-area estimates, stable visualization, and clean data assets to support conservation decision-making and downstream analyses.
February 2025
Activity
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Quality Metrics
Correctness93.8%
Maintainability95.0%
Architecture91.2%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
RTSVYAML
Technical Skills
Configuration ManagementData AnalysisData ManagementData ProcessingData VisualizationData manipulationDependency ManagementGeospatial AnalysisGeospatial analysisRR ScriptingRepository MaintenanceScriptingTesting
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