lter/lterwg-resilience
Feb 2025 – Apr 2026
5 Months active
Languages Used
RUnknown
Technical Skills
Climate Data ProcessingData AnalysisR ProgrammingClimate Data AnalysisData VisualizationData Wrangling
hoover-david-01
PROFILE
Hoover-david-01
David Hoover developed a suite of climate resilience analytics pipelines for the lter/lterwg-resilience repository, focusing on agricultural productivity and ecosystem stability. He engineered end-to-end workflows in R, integrating data harmonization, quality control, and statistical modeling to analyze relationships between precipitation, productivity, and land management types. His work included refactoring the Aridity Index calculation for monthly climate data, implementing ANPP analysis pipelines, and building a stability analytics framework with robust visualization assets. By emphasizing reproducibility, modularity, and clear data wrangling, David enabled cross-site and cross-type comparisons, supporting data-driven decision-making in climate resilience and ecological research with depth and reliability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
7
Lines of code
14,245
Activity Months5
Your Network
14 peopleSame Organization
@usda.gov5
Work History
April 2026
3 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for lter/lterwg-resilience: Key features delivered include a stability analytics framework for ANPP data across land management types, plus tooling for stability analysis and visualization of stability and variability. The work also added scripts that assess how land management types affect productivity and stability metrics, with accompanying visualization assets to communicate results. Major bugs fixed: none reported or resolved this month. Overall impact and accomplishments: Established a reusable, auditable framework enabling cross-type comparisons of productivity and stability, enhancing decision support for land-management strategies and enabling faster, data-driven resilience planning. Technologies/skills demonstrated: Python-based data analysis pipelines, scripting for stability metrics, data visualization, reproducible workflows, and version-controlled collaboration.
3 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for lter/lterwg-resilience: Key features delivered include a stability analytics framework for ANPP data across land management types, plus tooling for stability analysis and visualization of stability and variability. The work also added scripts that assess how land management types affect productivity and stability metrics, with accompanying visualization assets to communicate results. Major bugs fixed: none reported or resolved this month. Overall impact and accomplishments: Established a reusable, auditable framework enabling cross-type comparisons of productivity and stability, enhancing decision support for land-management strategies and enabling faster, data-driven resilience planning. Technologies/skills demonstrated: Python-based data analysis pipelines, scripting for stability metrics, data visualization, reproducible workflows, and version-controlled collaboration.
April 2026
March 2026
4 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for lter/lterwg-resilience focusing on end-to-end climate resilience analytics pipeline development, statistical modeling cleanup, and code quality improvements. Delivered data harmonization, quality control, integration of environmental covariates (precipitation, temperature), refined crop-type and treatment filtering, and ANPP analysis/visualization across sites and crops. Removed detrending in modeling and strengthened Tukey test implementations, resulting in a more reliable and maintainable analytics workflow that supports climate resilience decision-making.
March 2026
4 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for lter/lterwg-resilience focusing on end-to-end climate resilience analytics pipeline development, statistical modeling cleanup, and code quality improvements. Delivered data harmonization, quality control, integration of environmental covariates (precipitation, temperature), refined crop-type and treatment filtering, and ANPP analysis/visualization across sites and crops. Removed detrending in modeling and strengthened Tukey test implementations, resulting in a more reliable and maintainable analytics workflow that supports climate resilience decision-making.
January 2026
4 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for repository lter/lterwg-resilience: Delivered an end-to-end ANPP Analysis and Visualization Pipeline and introduced duration-based filtering to improve agricultural productivity metrics. The work enhances data-driven decision support for ecosystem management through robust data processing, site/treatment-level insights, and clearer visualizations, while strengthening pipeline reproducibility and maintainability.
4 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for repository lter/lterwg-resilience: Delivered an end-to-end ANPP Analysis and Visualization Pipeline and introduced duration-based filtering to improve agricultural productivity metrics. The work enhances data-driven decision support for ecosystem management through robust data processing, site/treatment-level insights, and clearer visualizations, while strengthening pipeline reproducibility and maintainability.
January 2026
August 2025
2 Commits • 1 Features
Aug 1, 2025Concise monthly summary for 2025-08 focusing on key accomplishments for lter/lterwg-resilience. Delivered ANPP-Precipitation and SPEI Analytics and Visualization feature; added R scripts for ANPP vs precipitation indices; loaded/cleaned/aggregated data; generated plots; introduced SPEI-related drought/wet condition visualizations for CPER and PRHPA; initiated testing.
August 2025
2 Commits • 1 Features
Aug 1, 2025Concise monthly summary for 2025-08 focusing on key accomplishments for lter/lterwg-resilience. Delivered ANPP-Precipitation and SPEI Analytics and Visualization feature; added R scripts for ANPP vs precipitation indices; loaded/cleaned/aggregated data; generated plots; introduced SPEI-related drought/wet condition visualizations for CPER and PRHPA; initiated testing.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 performance summary for lter/lterwg-resilience: Delivered a monthly Aridity Index (AI) calculation and visualization by refactoring the AI workflow to monthly climate data, reading monthly weather data, calculating PET via the Thornthwaite method, and deriving AI from monthly precipitation and PET. Added a histogram visualization of AI distributions across networks. Implemented a bug fix to ensure AI calculation uses monthly data (commit e6249ce3b766a82319882f81cd4796f01d8). This work improves resilience analytics by providing a more accurate, scalable AI metric and enabling cross-network comparisons.
1 Commits • 1 Features
Feb 1, 2025February 2025 performance summary for lter/lterwg-resilience: Delivered a monthly Aridity Index (AI) calculation and visualization by refactoring the AI workflow to monthly climate data, reading monthly weather data, calculating PET via the Thornthwaite method, and deriving AI from monthly precipitation and PET. Added a histogram visualization of AI distributions across networks. Implemented a bug fix to ensure AI calculation uses monthly data (commit e6249ce3b766a82319882f81cd4796f01d8). This work improves resilience analytics by providing a more accurate, scalable AI metric and enabling cross-network comparisons.
February 2025
Activity
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Quality Metrics
Correctness84.4%
Maintainability81.4%
Architecture82.8%
Performance77.2%
AI Usage21.4%
Skills & Technologies
Programming Languages
RUnknown
Technical Skills
Climate Data AnalysisClimate Data ProcessingData AnalysisData VisualizationData WranglingEcological Data AnalysisR ProgrammingR programmingStatistical Analysisclimate modelingdata analysisdata manipulationdata visualizationdata wranglingggplot2
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