
During May 2025, Ada Leung developed core data processing and visualization features for the lterwg-caged repository, focusing on climate data analytics. Ada established an R-based exploratory script scaffold to accelerate future development and implemented a toolkit that enables end-to-end workflows for downloading, processing, and visualizing site-specific climate data. The solution standardized geographic coordinates, extracted NetCDF data, and produced a world map visualization colored by system type and sized by average annual temperature. Leveraging skills in R, data wrangling, and geospatial analysis, Ada laid a reproducible foundation for climate analytics, providing a clear blueprint for future feature expansion and analysis.
May 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 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.

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