Student and alumni publications
- Gao, Yibin and Jin, Jie (USC SSI master’s students), with Wang, Siqin — Evaluating the quality of VGI and authoritative data in red-crowned crane conservation: a comparative study (Big Earth Data, 2025).
- Gizamba, Jacob Mugoya, Finch, Brian Karl, Wang, Siqin, and Klausner, Jeffrey D. — Insights into the spatial epidemiology of Hepatitis C infection: systematic synthesis of area-level determinants and spatiotemporal analyses (BMC Public Health, 2025).
- Zhang, Angela (Population, Health and Place Ph.D. student), with Xie, Louise, and Marnfeldt, Kelly —
Tackling Wicked Problems: The Power of Community Among the Unhoused (American Journal of Public Health, 2025).
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Yang, Yifan (USC M.S. Spatial Data Science ’24), Wang, Siqin, Li, Daoyang, Li, Sun, Shuju, Wu, Qingyang. GeoLocator: A Location-Integrated Large Multimodal Model (LMM) for Inferring Geo-Privacy. Special Issue of Artificial Intelligence and the Future of Smart Cities, August 13, 2024.
Duncan, Steven (B.S. Human Security and Geospatial Intelligence ’24) and Assayehgen, Atsede. Addis Ababa’s Landmarks: Nodes of Neocolonial Infiltration in the Capital of African Independence. Conflict Urbanism, April 26, 2024.
Levi, Samantha (USC B.S. Geodesign ’20), Hauthal, Eva, Mukherjee, Sagnik, Ostermann, Frank O. Visualizing emoji usage in geo-social media across time, space, and topic. Front. Commun., Volume 9. January 17, 2024.
Lehnen, Charles (Ph.D. candidate, Integrative & Evolutionary Biology; Graduate Certificate in Remote Sensing and Earth Observation), et al. Drivers of arthropod biodiversity in an urban ecosystem. Scientific Reports 14, 390. January 3, 2024.
Fong, Mia (USC M.S. Spatial Economics and Data Analysis student), John, Richard. Motivated Bias in Detecting Climate Change Misinformation. Proceedings of the 57th Hawaii International Conference on System Sciences. January 3, 2024.
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Wang, Xinyu, co-author, GeoTools: Development of Geographical Information System (Beijing: Posts and Telecom Press, 2022), and author of Chapter 11, “Spatial Data Management System Development.”
Vasquez, Diego A.; and Swift, Jennifer. “Using Geostatistics to Generate a Geological Model of a Sandstone Petroleum Reservoir in Southern California.” Geographica Pannonica, Vol. 26, Issue 1, 47-64 (March 2022).
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Bernstein, Jennifer Moore; Audras, Cameron; Dalisay, Charmaine; and Swift, Jennifer. “A Multi-Disciplinary Undergraduate Pedagogical Experience Looking at Attitudes Towards Solar Development in the Mojave Desert.” Pedagogy — Challenges, Recent Advances, New Perspectives, and Applications. December 10, 2021.
Hill, Kristiane; Swift, Jennifer; Howard, Carrie; Farrell, Ainsley; and Lindsey, Emily L. 3D “Visualization of Subsurface Objects from La Brea Tar Pits, Los Angeles, CA.” Digital Applications and in Archeology and Cultural Heritage 20. March 2021.
Gu, Yueqi; Aydin, Orhun; and Sosa, Jacquline. Quantifying the Impact of a Tsunami on Data-Driven Earthquake Relief Zone Planning in Los Angeles County via Multivariate Spatial Optimization. Geosciences. 11(2), 99. February 19, 2021.
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Marx, Andrew; Poynor, Mia; Kim, Young-Kyung; and Oberreiter, Lauren. “Detecting Destroyed Communities in Remote Areas with Personal Electronic Device Data: A Case Study of the 2017 Puebla Earthquake.” ISPRS International Journal of Geo-Information. 9(11), 643. October 28, 2020.
Unger, Jennifer B.; Vos, Robert O.; Wu, Jasmine Siyu; Hardaway, Kimberly; Sarain, Ada Y., Soto, Daniel W.; Rogers, Christopher; and Steinberg, Jane. “Locations of Licensed and Unlicensed Cannabis Retailers in California: A Threat to Health Equity?” Preventive Medicine Reports, Volume 19, Article 101165. September 1, 2020.
Luttrull, James E. and Fleming, Steven. “Artificial Island Development in the South China Sea: Overcoming Data Scarcity of New Environmental Features Through Shadow Analysis.” Case Studies in the Environment. June 19, 2020.
Castellanos, Rebecca; Corsi, Grace; Friedman, Benjamin; Fruithandler, Julia; Goldwasser, Felix; Ly, Emily; MacDonald, Beau; Swift, Jennifer; Wilson, John P. “Northeast Los Angeles climate change adaptation, United States, University of Southern California, United States.” Thomas Fisher, Brian Orland, and Carl Steinitz, editors. The International Geodesign Collaboration: Changing Geography By Design (Redlands: Esri Press, 2020), pgs. 108-109.
Henningsson, Elin (M.S. Human Security and Geospatial Intelligence ’19); Ibanga, Elisha (Graduate Certificate in Geospatial Intelligence ’18; M.S. Human Security and Geospatial Intelligence ’19; Anguiano, Victor (M.S. Human Security and Geospatial Intelligence ’19). “Forward Support—Cloud Based Mosaic Imagery for Emergency Operations.” Journal of Geographic Information System, 12, 84-95, April 2020.
Marder, Christopher (M.S. GIST ’19)
“The Role of Precision in Spatial Narratives: Using a Modified Discourse Quality Index to Measure the Quality of Deliberative Spatial Data.” International Journal of Humanities and Arts Computing. Volume 14, Issue 1-2, Pages 197-217. Available online February 2020. -
Gilliam, Shea Ellen (Ph.D. student, Population, Health and Place)
“A Cautionary tale: Trauma, ethics and mentorship in research in the USA.” Gender, Place & Culture: A Journal of Feminist Geography. Published online May 31, 2019.“Feminist Methodologies.” International Encyclopedia of Human Geography. November 2019.
Tom-Jack, Quincy (M.S GIST ’19)
“The Role of Geoprocessing in Mapping Crime Using Hot Streets.” International Journal of Geo-Information. Volume 8, Issue 12, Pg. 540. Published November 28, 2019.Yi, Li (Ph.D. candidate, Population, Health and Place)
“Methodologies for assessing contextual exposure to the built environment in physical activity studies: A systematic review.” Health & Place. Volume 60, November 2019.Chou, Yu-Hsi, Marx, Andrew, Mercy, Kevin, and Richard Windisch. “A Lightweight, Robust Exploitation System for Temporal Stacks of UAS Data: Use Case for Forward-Deployed Military or Emergency Responders.” Drones 2019, 3(1) 29. DOI: 10/3390/drones3010029. ePublished 22 March 2019.
Marx, Andrew, Richard Windisch, and Jong Su Kim. “Detecting Village Burnings with High-Cadence SmallSats: a case-study in the Rakhine State of Myanmar.” Remote Sensing Applications: Society and Environment. Vol. 14, pgs. 119-125. April 2019.
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Fleming, Douglas O. (Ph.D. student, Population, Health and Place)
“Spatial Distribution and Temporal Trends of Low Bystander CPR in the City of Los Angeles.” American Heart Association Circulation, Volume 138, Issue Supplement 1. Published November 5, 2018.Lin, Haowen and Yao-Yi Chiang. “An Uncertainty Aware Method for Geographic Data Conflation.” In Proceedings of the 5th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, November 2018.
Lin, Haowen and Yao-Yi Chiang Y.-Y. “SRC: Automatic Extraction of Phrase-level Map Labels from Historical Maps.” SIGSPATIAL Special, 9(3):14-15. DOI: 10.1145/3178392.3178400. 2017.
Ferguson, William J., Karen Kemp and Gerald Kost. “Using a geographic information system to enhance patient access to point-of-care diagnostics in a limited-resource setting.” International Journal of Health Geographics 15(10). DOI: 10.1186/s12942-016-0037-9. ePublished: 1 March 2016.
VoPham, T., Wilson, J.P, Ruddell, D., Rashed, T., Brooks, M., Yuan, J-M, Talbott, E., Chang, C-C, Weissfeld, J. “Linking pesticides and human health: A geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure.” Applied Geography 62 (2015) 171-181.
Milholland, N. and Pultar, E. “The San Francisco Public Art Map Application: Using VGI and Social Media to Complement Institutional Data Sources.” MapInteract ’13: Proceedings of the 1st ACM SIGSPATIAL International Workshop on MapInteraction, November 2013, pgs. 48–53.
Weidemann, C. “Social Media Location Intelligence: The Next Privacy Battle – An ArcGIS add-in and Analysis of Geospatial Data Collected from Twitter.com.” International Journal of Geoinformatics, Vol. 9, No. 2 (2013). Weidemann developed an application called Twitter2GIS to analyze the geospatial data Twitter users generate and investigated how their information could potentially be used by third parties.
