lter/lterwg-caged
May 2025 – May 2025
1 Month active
Languages Used
R
Technical Skills
Climate Data AnalysisData VisualizationData WranglingExploratory ScriptingGeospatial AnalysisR
Maowei Liang
PROFILE
Maowei Liang
Ado Leung developed core data processing and visualization features for the lterwg-caged repository, focusing on climate data analytics. He established an R-based exploratory scripting scaffold to accelerate future development and implemented an end-to-end workflow for downloading, processing, and visualizing site-specific climate data. His approach included coordinate standardization, NetCDF data extraction, and geospatial visualization, producing a world map colored by system type and sized by average annual temperature. By integrating data wrangling and cleaning steps, Ado laid a reproducible foundation for climate analytics, enabling consistent results and rapid feature expansion. His work demonstrated depth in R, data visualization, and geospatial analysis.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
221
Activity Months1
Your Network
13 people
Work History
May 2025
2 Commits • 2 Features
May 1, 2025May 2025 monthly summary for repository lter/lterwg-caged focusing on delivering core data processing and visualization capabilities for climate data analytics, with foundational scaffolding for future feature work.
2 Commits • 2 Features
May 1, 2025May 2025 monthly summary for repository lter/lterwg-caged focusing on delivering core data processing and visualization capabilities for climate data analytics, with foundational scaffolding for future feature work.
May 2025
Activity
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Quality Metrics
Correctness55.0%
Maintainability50.0%
Architecture50.0%
Performance45.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
R
Technical Skills
Climate Data AnalysisData VisualizationData WranglingExploratory ScriptingGeospatial AnalysisR
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