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LinaAoyama

PROFILE

Linaaoyama

Lina Peninsula developed robust climate data analysis workflows for the lter/lterwg-resilience repository, focusing on reproducible pipelines and actionable insights. She engineered end-to-end solutions in R and SQL to calculate aridity indices, analyze extreme heat events, and assess the relationship between precipitation and plant productivity. Her work integrated climate and ANPP datasets, harmonized data from cloud storage, and visualized key metrics to support ecosystem resilience research. Lina’s technical approach emphasized data management, statistical analysis, and clear code organization, resulting in reusable components and traceable commits. The depth of her contributions enabled quantitative assessment of climate impacts on ecological productivity.

Overall Statistics

Feature vs Bugs

80%Features

Repository Contributions

11Total
Bugs
1
Commits
11
Features
4
Lines of code
438
Activity Months3

Work History

August 2025

4 Commits • 1 Features

Aug 1, 2025

August 2025: Delivered end-to-end Extreme Heat Event Analysis and Visualization for the Growing Season in lterwg-resilience. Implemented calculations and visualizations of extreme heat indices from Daymet data, threshold exceedance counts across multiple percentiles, heat-wave duration, and integrated heat-wave metrics with Aboveground Net Primary Production (ANPP) to explore links with biomass. This work enables quantitative assessment of climate stress on crop productivity and informs resilience planning for agricultural systems.

July 2025

2 Commits • 1 Features

Jul 1, 2025

July 2025 monthly summary for lter/lterwg-resilience: Delivered the ANPP-Climate Relationship Analysis feature, enabling end-to-end data integration and visualization to assess how rainfall patterns influence plant productivity. Implemented an R script to download, harmonize, and join ANPP and climate datasets, and created scatter plots to explore ANPP relationships with mean event precipitation, days with half precipitation, and annual precipitation. This work strengthens the data pipeline, improves analytical reproducibility, and provides actionable insights for ecosystem resilience planning. No major bugs reported this month; all changes focused on feature delivery and data quality improvements. Key technical achievements include data wrangling, integration, and visualization with clear business value in rainfall-productivity understanding.

February 2025

5 Commits • 2 Features

Feb 1, 2025

February 2025 monthly summary for lter/lterwg-resilience focusing on delivering a reusable data pipeline for aridity metrics and establishing a scalable data storage scaffold, while hardening PET-based calculations to improve aridity index accuracy.

Activity

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Quality Metrics

Correctness83.6%
Maintainability83.6%
Architecture74.6%
Performance72.8%
AI Usage20.0%

Skills & Technologies

Programming Languages

RSQL

Technical Skills

Climate Data AnalysisClimate ModelingCloud Storage IntegrationData AnalysisData HarmonizationData ManagementData VisualizationEnvironmental ScienceExploratory Data AnalysisR ProgrammingScriptingStatistical Analysis

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

lter/lterwg-resilience

Feb 2025 Aug 2025
3 Months active

Languages Used

RSQL

Technical Skills

Climate ModelingData AnalysisData ManagementEnvironmental ScienceScriptingClimate Data Analysis

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