Yi Qiang

Assistant Professor in GIScience
School of Geosciences
University of South Florida

My research areas include in spatio-temporal data modeling, visual analytics, geocomputation, disaster vulnerability and resilience, dynamic modeling of coupled natural and human (CNH) systems. I'm interested in developing innovative models, analytical frameworks and software tools to discover useful information and knowledge from a diversity of geospatial data. I lead the Laboratory of Computational Sapatial Science for Sustainability (COMPASS Lab) at University of South Florida.

C.V.

News

  • We are calling for sessions and abstracts for the Symposium on Scale in Spatial Analytics and Modeling in the 2022 Annual Meetings of AAG.

  • GA position is available from 2022 fall semester.

  • Website for the NSF-funded CroScalar project is online. Tools and sef-paced tutorials about the multi-scale spatio-temporal modeling framework (MSTF) will be available in this website.

Degrees

Ph.D. in geography (2012), Ghent University

M.Sc. in GIS (2007), University of Edinburgh

B.Sc. in GIS (2006), Beijing Normal University,

Appointments

Assistant Professor (2020 - present), School of Geosciences, University of South Florida

Assistant Professor (2017 - present), Dept. of Geography, University of Hawaii - Manoa

Research Associate (2016), Dept. of Geography, The Earth Lab, University of Colorado - Boulder

Postdoctoral researcher (2013 - 2016), Dept. of Environmental Sciences, Louisiana State University

Research

Visual analytics

Using visualization techniques for pattern detection and interactive exploration of multi-dimensional data.

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Geospatial Big Data

Sensing human-environment interactions using big geospatial data.

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Vulnerability and resilience

Quantitatvie assessment and modeling of social vulnerability and resilience

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CNH modeling

Integrating GIS, data mining and simulation techniques to model dynamic processes of CNH systems.

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Teaching

Geographic Information Systems (GIS6100, USF)

An intermediate to advanced level GIS course, covering fundamental concepts in GIScience and GIS applications in solving real-world problems.

Geospatial Data Analytics (GEOG389, UH)

Using open-source Python packages to wrangle, visualize, and model large quantities of geospatial data.

Web Mapping (GEOG476, UH)

Development of web-based GIS applications for sharing and visualizing geospatial data in the Internet.

Advanced GIS Applications (GEOG489, UH)

Applications of GIS in various problems in social, natural, and environmental sciences.

Contact

Address:

USF School of Geosciences, 4202 E. Fowler Ave, NES 107, Tampa, FL 33620

Phone:
E-mail:

The research programs are funded by

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