Tools
I build open-source tools to make environmental and economic analysis more accessible. Here are some of the projects I've developed or contributed to.
pyFIA
High-performance Python library for Forest Inventory and Analysis data. Design-based estimation with Polars and DuckDB, matching FIA EVALIDator exactly.
pyFVS
Python implementation of the Forest Vegetation Simulator. Simulates growth and yield of forest stands using individual tree models across 10 regional variants with 500+ species.
gridFIA
Spatial forest biomass analysis API. Creates gridded estimates from FIA plot data, transforming discrete measurements into continuous maps of biomass, carbon density, and timber volume at 30m resolution.
socialmapper
Community accessibility analysis bridging OpenStreetMap POI data and US Census demographics. Travel-time isochrones and 338+ POI categories for equity research.
climate-zarr-slr
Climate data pipeline for analyzing climate's impact on population and income in a sea level rise context. NetCDF to Zarr conversion with county-level statistical analysis.
skiba
A forester's Python package for Google Earth Engine point extractions. Simplifies remote sensing data collection for forestry research applications.
Open Source Contributions
I'm a strong advocate for open-source software in research. Good tools should be accessible to everyone, and open development leads to better science.
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