lter/lterwg-resilience
Feb 2025 – Aug 2025
2 Months active
Languages Used
RSQL
Technical Skills
Cloud Storage IntegrationData ProcessingData VisualizationR ProgrammingData AnalysisEnvironmental Data Processing
baguirre6
PROFILE
Baguirre6
During their work on the lterwg-resilience repository, Baguirre developed two robust R-based data analysis features focused on environmental data processing. They built a script to analyze Vapor Pressure Deficit distributions across networks, handling daily weather data, calculating mean annual values, and generating visualizations, with outputs managed locally and integrated with Google Drive for accessibility. Later, Baguirre delivered a repeatable workflow for climate extremes analysis, implementing Tmax percentile calculations from Daymet data and visualizing exceedance events across sites. Their approach emphasized reproducibility, thorough code annotation, and reliable input/output handling, leveraging R, SQL, and cloud storage integration to support cross-network ecological insights.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
253
Activity Months2
Your Network
9 peopleWork History
August 2025
1 Commits • 1 Features
Aug 1, 2025Month: 2025-08 — Delivered a repeatable climate extremes analysis capability for the lterwg-resilience repo, enabling cross-network insights into Tmax exceedances using Daymet data. Key deliverable: Tmax Percentile Analysis and Visualization (R).
1 Commits • 1 Features
Aug 1, 2025Month: 2025-08 — Delivered a repeatable climate extremes analysis capability for the lterwg-resilience repo, enabling cross-network insights into Tmax exceedances using Daymet data. Key deliverable: Tmax Percentile Analysis and Visualization (R).
August 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Delivered a focused feature in lter/lterwg-resilience that enables Vapor Pressure Deficit (VPD) distribution analysis across multiple networks. Implemented an R script to process daily weather data, compute mean annual VPD, and generate two visualizations (histogram and dot plot). Outputs are saved locally and uploaded to Google Drive, with robust IO handling and thorough code annotations to improve reproducibility.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Delivered a focused feature in lter/lterwg-resilience that enables Vapor Pressure Deficit (VPD) distribution analysis across multiple networks. Implemented an R script to process daily weather data, compute mean annual VPD, and generate two visualizations (histogram and dot plot). Outputs are saved locally and uploaded to Google Drive, with robust IO handling and thorough code annotations to improve reproducibility.
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
RSQL
Technical Skills
Cloud Storage IntegrationData AnalysisData ProcessingData VisualizationEnvironmental Data ProcessingR ProgrammingScripting
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