lter/lterwg-resilience
Feb 2025 – Feb 2026
3 Months active
Languages Used
R
Technical Skills
Cloud Storage IntegrationData DownloadData ManagementData ProcessingData VisualizationGoogle Drive API
MakkiSp
PROFILE
Makkisp
Over three months, contributed to the lter/lterwg-resilience repository by developing an end-to-end data processing pipeline for climate and agricultural analysis. Built R scripts to automate downloading, extracting, and merging SPEI climate data from NetCDF files with site information, producing reproducible CSV outputs. Enhanced data governance by updating storage paths and integrating Google Drive API for automated distribution. Leveraged Leaflet for site location visualization and implemented modular workflows to streamline preprocessing and reduce manual intervention. Focused on maintainability and scalability, the work improved data alignment between climate and agricultural metrics, supporting downstream modeling and analytics using R programming and data visualization.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
677
Activity Months3
Your Network
11 peopleShared Repositories
11
=Member
baguirre6Member
hoover-david-01Member
ingridsletteMember
kemullerMember
LinaAoyamaMember
Meghan AvolioMember
Makki KhorchaniMember
njlyon0Member
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for lter/lterwg-resilience. Delivered a new Data Preparation Script for ANPP and SPEI, significantly improving the data processing workflow for climate and agricultural analysis. The feature includes detrending data, aligning climate data with agricultural productivity metrics, and a SPEI data downloader for multiple sites, enabling end-to-end preparation for climate-impact analyses. This update enhances the ability to analyze the influence of climate variables on agricultural outcomes and supports downstream modeling efforts.
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for lter/lterwg-resilience. Delivered a new Data Preparation Script for ANPP and SPEI, significantly improving the data processing workflow for climate and agricultural analysis. The feature includes detrending data, aligning climate data with agricultural productivity metrics, and a SPEI data downloader for multiple sites, enabling end-to-end preparation for climate-impact analyses. This update enhances the ability to analyze the influence of climate variables on agricultural outcomes and supports downstream modeling efforts.
February 2026
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 performance focused on delivering a critical feature update to the SPEI downloader within the lterwg-resilience repository, improving data retrieval, storage, and output handling for reliability across 75 sites.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 performance focused on delivering a critical feature update to the SPEI downloader within the lterwg-resilience repository, improving data retrieval, storage, and output handling for reliability across 75 sites.
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for lter/lterwg-resilience: Delivered an end-to-end SPEI data processing pipeline including download, NetCDF extraction, site-info fusion, and final CSV generation; introduced Leaflet-based visualization of site locations; and automated distribution by uploading the output CSV to Google Drive. Storage paths were updated to data/spei_data for better data governance and reuse, enabling streamlined access for downstream analytics and sharing.
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for lter/lterwg-resilience: Delivered an end-to-end SPEI data processing pipeline including download, NetCDF extraction, site-info fusion, and final CSV generation; introduced Leaflet-based visualization of site locations; and automated distribution by uploading the output CSV to Google Drive. Storage paths were updated to data/spei_data for better data governance and reuse, enabling streamlined access for downstream analytics and sharing.
February 2025
Activity
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Quality Metrics
Correctness86.0%
Maintainability84.0%
Architecture84.0%
Performance84.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
R
Technical Skills
API integrationCloud Storage IntegrationData DownloadData ManagementData ProcessingData VisualizationGoogle Drive APILeafletNetCDF HandlingR ScriptingR programmingScriptingclimate modelingdata analysisdata visualization
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