lter/lterwg-resilience
Feb 2025 – Jul 2026
10 Months active
Languages Used
RSQL
Technical Skills
Climate ModelingData AnalysisData ManagementEnvironmental ScienceScriptingClimate Data Analysis
LinaAoyama
PROFILE
Linaaoyama
Developed a suite of climate and agricultural data analysis features for the lterwg-resilience repository, focusing on end-to-end workflows that quantify relationships between extreme weather, precipitation, and aboveground net primary productivity (ANPP). Leveraged R and SQL to build reusable pipelines for data integration, harmonization, and visualization, enabling robust cross-site and cross-network analyses. Implemented statistical modeling, segmented regression, and GAM-based threshold analysis to assess climate impacts on productivity across land types and management systems. Enhanced data storage, reproducibility, and documentation, supporting scalable research and decision-making. The work demonstrates depth in climate modeling, data management, and advanced analytics for environmental science applications.
Overall Statistics
Feature vs Bugs
92%Features
Repository Contributions
26Total
Bugs
1
Commits
26
Features
12
Lines of code
12,550
Activity Months10
Your Network
11 peopleShared Repositories
11
Work History
July 2026
5 Commits • 2 Features
Jul 1, 2026July 2026 monthly performance summary for lter/lterwg-resilience, focusing on delivering data-driven capabilities for environmental data analysis and crop modeling, addressing data integration and visualization needs, and documenting improvements to support scaling and decision making.
5 Commits • 2 Features
Jul 1, 2026July 2026 monthly performance summary for lter/lterwg-resilience, focusing on delivering data-driven capabilities for environmental data analysis and crop modeling, addressing data integration and visualization needs, and documenting improvements to support scaling and decision making.
July 2026
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for lter/lterwg-resilience: Delivered the ANPP-Climate Relationship Analysis Script, enabling automated data download, processing, and visualization to compare ANPP-climate relationships across sites. This feature increases research throughput, reproducibility, and cross-site insights for climate impacts on productivity, supporting threshold-paper analyses.
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for lter/lterwg-resilience: Delivered the ANPP-Climate Relationship Analysis Script, enabling automated data download, processing, and visualization to compare ANPP-climate relationships across sites. This feature increases research throughput, reproducibility, and cross-site insights for climate impacts on productivity, supporting threshold-paper analyses.
May 2026
1 Commits • 1 Features
May 1, 2026May 2026: Delivered a new Precipitation-ANPP Relationship Analysis in lter/lterwg-resilience, introducing statistical analysis and visualizations to assess how annual precipitation affects ANPP across land management systems. Implemented slope- and trend-modeling to quantify relationships and produced visuals to support stakeholder insights. The work integrates with the existing resilience analytics workflow and is backed by a focused commit for reproducibility and traceability.
1 Commits • 1 Features
May 1, 2026May 2026: Delivered a new Precipitation-ANPP Relationship Analysis in lter/lterwg-resilience, introducing statistical analysis and visualizations to assess how annual precipitation affects ANPP across land management systems. Implemented slope- and trend-modeling to quantify relationships and produced visuals to support stakeholder insights. The work integrates with the existing resilience analytics workflow and is backed by a focused commit for reproducibility and traceability.
May 2026
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for lterwg-resilience focusing on business value and technical achievements across the repository. Delivered an end-to-end ANPP sensitivity analysis to climate variables (precipitation and growing-season temperature) with data preparation, analysis scripts, and visualizations. Introduced enhanced temperature metrics and refined data filtering to produce robust sensitivity results. The work is documented with explicit commit references and aligns with climate impact assessment goals.
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for lterwg-resilience focusing on business value and technical achievements across the repository. Delivered an end-to-end ANPP sensitivity analysis to climate variables (precipitation and growing-season temperature) with data preparation, analysis scripts, and visualizations. Introduced enhanced temperature metrics and refined data filtering to produce robust sensitivity results. The work is documented with explicit commit references and aligns with climate impact assessment goals.
February 2026
4 Commits • 1 Features
Feb 1, 2026February 2026 (Month: 2026-02) – In the lter/lterwg-resilience repository, delivered a comprehensive Extreme Weather Impact Analysis on ANPP with Binning, Heat-Wave, and Warm-Day Modeling. The feature consolidates four commits into a single end-to-end capability that clarifies how extreme and warm weather conditions affect Aboveground Net Primary Productivity (ANPP) across cropland and grassland. Key deliverables include: (1) new precipitation-based binning for extreme weather with accompanying visualizations; (2) integration of new data/models and segmented regression for temperature extremes across land types; (3) calculation and analysis of heat-wave length breakpoints to assess impact on scaled ANPP; (4) analysis of warm day frequency with segmented linear models and visualizations to evaluate effects on ANPP across land types.
4 Commits • 1 Features
Feb 1, 2026February 2026 (Month: 2026-02) – In the lter/lterwg-resilience repository, delivered a comprehensive Extreme Weather Impact Analysis on ANPP with Binning, Heat-Wave, and Warm-Day Modeling. The feature consolidates four commits into a single end-to-end capability that clarifies how extreme and warm weather conditions affect Aboveground Net Primary Productivity (ANPP) across cropland and grassland. Key deliverables include: (1) new precipitation-based binning for extreme weather with accompanying visualizations; (2) integration of new data/models and segmented regression for temperature extremes across land types; (3) calculation and analysis of heat-wave length breakpoints to assess impact on scaled ANPP; (4) analysis of warm day frequency with segmented linear models and visualizations to evaluate effects on ANPP across land types.
February 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025Monthly performance summary for 2025-12 focusing on the lter/lterwg-resilience repo. Delivered a new Extreme Weather Year Binning Visualization feature for ANPP, enabling binning of extreme dry/wet water years and visualization of their relationship with scaled ANPP. Improved data visualization (boxplots) and output organization for easier interpretation. No major bugs reported in scope of this release.
December 2025
1 Commits • 1 Features
Dec 1, 2025Monthly performance summary for 2025-12 focusing on the lter/lterwg-resilience repo. Delivered a new Extreme Weather Year Binning Visualization feature for ANPP, enabling binning of extreme dry/wet water years and visualization of their relationship with scaled ANPP. Improved data visualization (boxplots) and output organization for easier interpretation. No major bugs reported in scope of this release.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 performance: Delivered an end-to-end Extreme Temperature and ANPP Analysis Script in the lterwg-resilience repository. The R script downloads data, computes z-scores, and analyzes the relationship between extreme temperatures and aboveground net primary productivity (ANPP) across crop types and networks, with accompanying visualizations. This enables cross-network climate-productivity insights, accelerates resilience assessments, and supports data-driven decision making for resource planning.
1 Commits • 1 Features
Nov 1, 2025November 2025 performance: Delivered an end-to-end Extreme Temperature and ANPP Analysis Script in the lterwg-resilience repository. The R script downloads data, computes z-scores, and analyzes the relationship between extreme temperatures and aboveground net primary productivity (ANPP) across crop types and networks, with accompanying visualizations. This enables cross-network climate-productivity insights, accelerates resilience assessments, and supports data-driven decision making for resource planning.
November 2025
August 2025
4 Commits • 1 Features
Aug 1, 2025August 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.
August 2025
4 Commits • 1 Features
Aug 1, 2025August 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, 2025July 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.
2 Commits • 1 Features
Jul 1, 2025July 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.
July 2025
February 2025
5 Commits • 2 Features
Feb 1, 2025February 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.
February 2025
5 Commits • 2 Features
Feb 1, 2025February 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
Loading activity data...
Quality Metrics
Correctness83.8%
Maintainability83.0%
Architecture79.2%
Performance78.4%
AI Usage22.4%
Skills & Technologies
Programming Languages
RSQL
Technical Skills
Climate Data AnalysisClimate ModelingCloud Storage IntegrationData AnalysisData HarmonizationData ManagementData VisualizationEnvironmental ScienceExploratory Data AnalysisR ProgrammingR programmingScriptingStatistical Analysisagricultural scienceclimate modeling
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline