lter/lterwg-resilience
Feb 2025 – Aug 2025
2 Months active
Languages Used
R
Technical Skills
Code DocumentationData AnalysisData HarmonizationData ProcessingData RetrievalFile Management
ingridslette
PROFILE
Ingridslette
Developed and maintained data workflows for the lter/lterwg-resilience repository, focusing on automating daily MSWEP precipitation data retrieval and processing for LTER and LTAR sites. Leveraged R scripting and the Google Sheets API to enable dynamic site coordinate ingestion, replacing manual CSV updates and improving data reliability. Enhanced geospatial analysis by preparing site data as SpatVectors for downstream use and implemented robust authentication for Google Sheets integration. Emphasized maintainable code through detailed documentation and inline comments, while introducing debugging tools and data validation steps. The work improved reproducibility, reduced manual intervention, and supported timely resilience analytics through automated, well-documented pipelines.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
2
Lines of code
100
Activity Months2
Your Network
11 peopleShared Repositories
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Work History
August 2025
2 Commits • 1 Features
Aug 1, 20252025-08 monthly summary: Delivered Google Sheets as the data source for site coordinates with authentication, enabling dynamic data retrieval and reducing manual CSV maintenance. Implemented a debugging View function and prepared the site data for conversion to a SpatVector for downstream spatial analysis. Fixed data accuracy by re-running with corrected coordinates and migrated ingestion to Google Sheets, improving reliability and timeliness. Updated documentation and inline comments to support maintenance and onboarding. Technologies demonstrated include Google Sheets API integration, authentication handling, spatial data preparation (SpatVector), and debugging workflows.
2 Commits • 1 Features
Aug 1, 20252025-08 monthly summary: Delivered Google Sheets as the data source for site coordinates with authentication, enabling dynamic data retrieval and reducing manual CSV maintenance. Implemented a debugging View function and prepared the site data for conversion to a SpatVector for downstream spatial analysis. Fixed data accuracy by re-running with corrected coordinates and migrated ingestion to Google Sheets, improving reliability and timeliness. Updated documentation and inline comments to support maintenance and onboarding. Technologies demonstrated include Google Sheets API integration, authentication handling, spatial data preparation (SpatVector), and debugging workflows.
August 2025
February 2025
4 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary focused on delivering an end-to-end MSWEP daily precipitation data retrieval and processing workflow for LTER and LTAR, with data integrity and maintainability improvements.
February 2025
4 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary focused on delivering an end-to-end MSWEP daily precipitation data retrieval and processing workflow for LTER and LTAR, with data integrity and maintainability improvements.
Activity
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Quality Metrics
Correctness83.4%
Maintainability83.4%
Architecture70.0%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
R
Technical Skills
Code DocumentationData AnalysisData HarmonizationData ManipulationData ProcessingData RetrievalFile ManagementGeospatial AnalysisGoogle Sheets APIR ProgrammingR Scripting
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