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
During February 2025, Maria Arce Plata enhanced the GEO-BON/bon-in-a-box-pipelines repository by developing robust workflows for habitat-area estimation and visualization, focusing on Myrmecophaga tridactyla. She implemented a method in R to extract habitat-area polygons from binary raster data, ensuring accurate handling of NA values and updating dependencies for reliability. Maria migrated SHI visualization pipelines to ggplot2, expanded test datasets, and improved configuration management using YAML. She also removed outdated Saguinus oedipus data to streamline analyses and improve reproducibility. Her work demonstrated depth in geospatial analysis, data processing, and repository maintenance, resulting in cleaner, more reproducible conservation data workflows.
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 people
Work 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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