Narayanan, A., Rezaali, M., Bunting, E., & Keellings, D. (2025). It’s getting hot in here: Spatial impact of humidity on heat wave severity in the United States. Science of the Total Environment, 963, 178397. ABSTRACT: Heat waves pose significant risks to society, impacting human health, infrastructure, and the environment. However, on humid days, heat waves […]
Mao, L. (2025). Modeling time-varying spatial accessibility to healthcare: A system dynamic approach. Health & Place, 91, 103416. ABSTRACT: Spatial accessibility to healthcare is essential for policymakers to identify health disparities and develop targeted interventions. Current modeling approaches poorly capture temporal dynamics of contributing factors, and few have represented dynamic interactions among these factors. Further, […]
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Walther, O., Radil, S., Russell, D. (2024). The spatial conflict life cycle in Africa. Annals of the American Association of Geographers, DOI: 10.1080/24694452.2024.2428812. ABSTRACT: The growing availability of geospatial data that document both how violent actors are connected and where their attacks take place offers a unique opportunity to produce a more integrated approach to […]
Saba, J. A., Ash, K., & Napton, D. (2024). Assessing the vulnerability of Cape Coral, Florida, to sea level rise using principal component analysis (2020–2050). International Journal of Disaster Risk Reduction, 105014. ABSTRACT: Sea level rise is a consequence of global climate change that has been affecting U.S. coasts with floods and storm surges. Florida […]
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Wang, J., & Hu, Y. (2024). Unraveling Hurricane Ian’s impact: A multiscale analysis of mobility networks in Florida. Transportation Research Part D: Transport and Environment, 104482. ABSTRACT: Understanding how human mobility patterns respond to natural disasters is crucial. This study investigates Hurricane Ian’s impact on human mobility patterns and subsequent recovery in southwest Florida. Using […]
Foyet, M. & Child, B. (2024). COVID-19, Social media, algorithms and the rise of indigenous movements in Southern Africa: Perspectives from activists, audiences and policymakers. Frontiers in Sociology, 9, 1433998. ABSTRACT: The paper employs a mixed-methods approach to investigate the influence of social media on social movements among indigenous communities in Southern Africa. Findings reveal that […]
Du, F., & Mao, L. (2024). Identifying Points of Interest (POIs) as sentinels for infectious disease surveillance: a COVID-19 study. Spatial and Spatio-temporal Epidemiology, 100691, https://doi.org/10.1016/j.sste.2024.10069. ABSTRACT: Traditional surveillance relies on medical facilities, such as clinics and laboratories, as sentinels to monitor disease activities. Few studies have investigated the feasibility of using Point of Interests (POIs) […]
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Quadrado, G., & Serafin, K. (2024). The timing, magnitude, and relative composition of extreme total water levels vary seasonally along the U.S. Atlantic coast. JGR Oceans, https://doi.org/10.1029/2023JC020557. This paper investigates when extreme total water levels (TWLs) occur during the year along the U.S. Atlantic coast and whether individual components, like waves, tides, and storm surge, […]
Kim, D., & Matyas, C. J. (2024). Classification of tropical cyclone rain patterns using convolutional autoencoder. Scientific Reports, 14(1), 791. DOI: https://doi.org/10.1038/s41598-023-50994-5. Heavy rainfall produced by tropical cyclones (TCs) frequently causes wide-spread damage. TCs have different patterns of rain depending on their development stage, geographical location, and surrounding environmental conditions. However, an objective system for […]
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Rezaali, M., Jahangir, M. S., Fouladi-Fard, R., & Keellings, D. (2024). An ensemble deep learning approach to spatiotemporal tropospheric ozone forecasting: A case study of Tehran, Iran. Urban Climate, 55, 101950. DOI: https://doi.org/10.1016/j.uclim.2024.101950. This study proposes a novel framework for spatiotemporal forecasting of Ground-level Ozone Concentration (GOC) using advanced machine learning techniques, including Artificial Neural […]