GIS Analyst · Data Scientist
I leverage remote sensing, GIS, and data science to translate complex data into clear insight about how our world changes. I believe understanding patterns through time gives people the power to see beyond the moment and shape a more intentional world.
- Understanding the role of Conservation Reserve Program lands in wildfire risk in the Great Plains.
- Examining large wildfire regimes across the United States' Great Plains and Eastern Temperate Forests.
- Assessing large wildfire damage and destruction to structures.
- Curating the United States Census TIGER Roads spatial datasets in Google Earth Engine.
- Building geospatial data products that support decision-making for conservation partners and agencies.
- Creating user-friendly tools that allow the public to engage with science.
| RStudio | Quarto | PyCharm | Google Earth | GEE | Colab |
| ArcGIS | ESRI | Mapbox | MapLibre | OSM | GitHub |
| Leaflet | Overleaf | GeoPandas | Tidyverse | NumPy | Jupyter |
| R | Python | JavaScript | Markdown | LaTeX | Git |
| Bash | GDAL | HTML | CSS | R | Python |
I'm always excited to collaborate on projects that make landscapes and communities more resilient.
Explore more case studies, maps, and publications at noahweidig.com.


