FINDING ANSWERS IN BIG DATA

Spatial Data Science

Spatial Economics and Data Analysis

In his book, Spatial Data Science (Esri Press, 2023), John P. Wilson outlines why and how spatial scientists and data scientists complement one another in their thought processes and methods. He calls for scientists across academic disciplines and practioners in diverse application domains to adopt and utilize the latest advances in computing, new geospatial data streams and the latest spatial methods.

Harrison Knapp

(B.S. GeoDesign and B.A. Earth Sciences ’20, cum laude; M.S. Spatial Data Science ’22), Remote Sensing Scientist, The Aerospace Corporation, El Segundo, CA

“Courses in spatial design and thinking led to others in GIS programming and customization in Python, data analysis for the earth sciences, and advanced cartography. I ventured outside the classroom into research and internships that allowed me to work with all kinds of geospatial datasets: satellite imagery and oceanographic data at the NASA Jet Propulsion Lab, composite snow data products and climate indices at the NOAA Pacific Marine Environmental Lab, and light pollution metrics from both remote and in situ sensors at the USC Spatial Sciences Institute. With an understanding of the nuances of data architecture, the power of machine learning, and experience working with geospatial big data, I am motivated to continue developing as a data scientist.”

Amanda Rago

(B.S., Applied and Computational Mathematics ’21; M.S. Spatial Economics and Data Analysis ’23)

“ What drew me most to the M.S. Spatial Economics and Data Analysis program was the ability to dive into data analytics with an economic frame of reference that is both holistic and scientific. After I graduate in May 2023, I’ll be joining Deloitte’s Government and Public Service division. This career path will use my SEDA degree as multiple projects will leverage spatial software and will have a heavy focus on data analytics.”

CHUN-LUN KAO

(Bachelor of Business Administration with Honors, Management Science and Finance, National Dong Hwa University ’18; M.S. Spatial Economics and Data Analysis ’22), Student, Ph.D. Program in Geographic Information Science, Arizona State University

“ The training I received at the USC Spatial Sciences Institute prepared me with strong spatial modeling skills and the ability to independently perform complex spatial analyses with diverse expertise. The M.S. SEDA program provided me with extensive GIS training such as suitability analysis, accessibility analysis, spatial regression modeling and agent-based models. I also was able to take economics courses and familiarize myself with regression models to analyze business activities. As a Ph.D. student with Dr. Stewart Fotheringham, I am exploring possible adjustments to current spatial models.”

OLIVIA V. LEWIS

(B.A. Economics ’21, cum laude; M.S. Spatial Economics and Data Analysis ’22), Associate Analyst, NERA Economic Consulting, San Francisco, CA

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The M.S. SEDA program was a perfect continuation of my undergraduate degree and allowed me to take challenging courses related to economics in a spatial capacity. All of the concrete tools and skills I developed throughout the program are directly applicable to my career working in antitrust litigation and mergers and acquisitions. I use my spatial analysis knowledge to understand the catchment areas of businesses and whether their movement can be considered anti-competitive.”