Project Title:
Scalable Geospatial Computing
This research is situated at the intersection of computational science and geographic information science. The research data includes climate and agricultural data and various 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.
Project Investigators
Renzo Negrini
Adelyn O'reilly
Alec Olson
Sriram Ramaswamy
Renae Rodgers
Jack Rogers
Nicole Schiller
Shuxin Shi
Dr. Eric Shook
Carl Sones
Samikshya Subedi
Jinzhe Wang
Sandy Wong
Meicheng Xiong
Xiaohuan Zeng
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