Tools & Data
I develop applied tools and data workflows that combine agricultural economics, irrigation engineering, geospatial analysis, groundwater data, crop information, and optimization models to support research and decision-making.
These tools and workflows support analysis of irrigation investment, groundwater conservation, crop transitions, and land-use adaptation in water-limited agricultural regions.
An Excel/VBA-based decision-support tool for evaluating the economic feasibility of irrigation system upgrades using county-level climate, crop yield, soil, slope, energy, and investment data.
GIS and Python workflows for processing crop area, irrigation status, climate, slope, soil water storage, and groundwater variables at county and field scales.
Optimization models that evaluate crop choice, irrigation capacity, groundwater depletion, reinvestment decisions, and land-use transitions across multi-year planning horizons.
Integrated datasets linking irrigation, crop production, climate, groundwater, soil, energy, and economic variables for regional agricultural water systems analysis.
My tool development process typically connects spatial data processing, economic modeling, scenario analysis, and decision-support outputs.
Compile crop, irrigation, groundwater, climate, soil, slope, energy, and economic datasets from federal, state, and project-specific sources.
Use GIS and Python workflows to harmonize raster, vector, county, and field-scale datasets into consistent analytical units.
Estimate costs, returns, investment feasibility, pumping economics, water savings, and net present value under alternative scenarios.
Translate model outputs into tools, maps, tables, and indicators that support research interpretation and applied decision-making.
I use a combination of analytical, spatial, and computational tools.
I welcome inquiries related to agricultural water management, groundwater sustainability, irrigation economics, land-use transitions, and decision-support modeling.