Creating Spatially Contiguous Data-Driven Submarkets for Commercial Real Estate
Program: Data Science Master's Degree
Location: Texas (onsite)
Student: Zach Marschik
Created a method that generates data-driven, automated, spatially contiguous submarket boundaries for use in evaluating commercial real estate investments. Additionally, created lower-level micromarkets to allow for even more granular analysis.