As part of my thesis analyzing the relationship between conservation program enrollment and drought, I developed a tool to visualize the use of federally funded conservation practices across the U.S.. This is the largest known database of conservation practice implementation in the U.S.

This is a live application that allows for a rapid assessment of the carrying capacity of a pasture or pastures. This web-based app lets you import a map of your pastures or create one and then uses the power of google earth engine, python, and R to calculate estimates carrying capacity of livestock for each pasture as well as gather weather and drought data. It also allows for updating these estimates if they do not reflect on the ground measurements. 

This App scrapes the most recent data from the Livestock Marketing Information center and compiles a chart of prices that can be broken up by state, cattle class, and dates. You can adjust for inflation, or see a map of prices in different states.

A common methodology in applied economics, this project researched the implicit prices of soil organic carbon in agricultural land in Weld County.

This project took the 33 ranch in South Dakota and ran an analysis of Soil Organic Carbon from the gSSURGO database

Ran an analysis of all known sale barn locations through google maps API to recover their exact locations, and then compiled a map of the results