College of Liberal Arts
This research is situated at the intersection of computational science and geographic information science. The research data includes geotagged social media data, climate and agricultural data, and related geospatial data. This collaborative work has two aims. The first is to analyze spatial data searching for patterns and anomalies to improve understanding in various scientific areas. The second is to improve the scalability and performance of several codes including the design and development of a domain-specific programming language.