ecmwf/earthkit-data
Nov 2024 – Nov 2024
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
API IntegrationData RetrievalData VisualizationExample DevelopmentGeospatial Data Handling
Adam Warde
PROFILE
Adam Warde
Developed a comprehensive Feature Extraction Demo Notebook for the earthkit-data repository, focusing on end-to-end workflows for geospatial data analysis. Leveraging Python and Jupyter Notebook, the work demonstrated API integration, timeseries data retrieval, and area extraction using the polytope source, culminating in country-level plotting with earthkit-geo. This example served as a practical, reusable template to help users quickly prototype feature extraction pipelines and understand earthkit-data’s capabilities. By anchoring the demo in real-world scenarios, the contribution enhanced onboarding materials and supported education for new users, while strengthening the repository’s documentation and accelerating adoption of geospatial data handling techniques.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
949
Activity Months1
Your Network
35 peopleSame Organization
@tcd.ie16
Shared Repositories
19
Work History
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024: Delivered a practical Feature Extraction Demo Notebook for the earthkit-data repo, showcasing end-to-end feature extraction workflows including timeseries retrieval, area extraction via the polytope source, and country plotting with earthkit-geo. This concrete example improves onboarding, demonstrates real-world use cases, and provides a reusable template for users to prototype feature extraction pipelines. The work is anchored in the earthkit-data feature set and linked to issue #540; commit 023333c2d3d8fd9a1d8e5f00e5883debf3f7a082 adds the notebook.
1 Commits • 1 Features
Nov 1, 2024November 2024: Delivered a practical Feature Extraction Demo Notebook for the earthkit-data repo, showcasing end-to-end feature extraction workflows including timeseries retrieval, area extraction via the polytope source, and country plotting with earthkit-geo. This concrete example improves onboarding, demonstrates real-world use cases, and provides a reusable template for users to prototype feature extraction pipelines. The work is anchored in the earthkit-data feature set and linked to issue #540; commit 023333c2d3d8fd9a1d8e5f00e5883debf3f7a082 adds the notebook.
November 2024
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
API IntegrationData RetrievalData VisualizationExample DevelopmentGeospatial Data Handling
Repositories Contributed To
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