I enjoy investigating social practical issues through spatial data. Additionally, I am interested in exploring geographical information gathering, especially in developing regions, and spatial approaches to analyze impacts on residential areas.
My research interests lie in sustainable urban system with a special focus on active transportation. Currently I am working with multiple bikeability score and bike safety datasets, trying to understand how we can contribute to a safer and more equitable urban biking environment by leveraging big data.
In my research in the Trugman Lab at UCSB's Geography Department, I seek to explore the ways in which changing climatic baselines, evolving land use patterns, and altered disturbance regimes affect landscape resilience in complex coupled human-natural systems.
My research focuses on the impact of human interference and land-use change on the movement behavior of tigers and leopards in Thailand, assisted with spatial data science and spatiotemporal modelling.
I study the atmospheric systems and climatic modes on the variability of climate extremes. Research interests are climate extremes, precipitation, land-atmosphere feedbacks, hydrologic processes and geostatistical analysis.
I'm interested in different conceptions of the environment, specifically the tensions between environmental policy and Indigenous geographies. I also research how social movements assert land rights and environmental justice.
Multi-scale wildfire risk mitigation planning and implementation; holistic, community-driven disaster risk resiliency planning; GIS; fire engineering; spatial statistics and optimization;
performance of structures and critical infrastructure to extreme fire loads
My work focuses on characterization of marine sinking particles and their role in biogeochemical cycles using a variety of tools including the marine snow catcher. Advisors: Uta Passow and David Siegel.
I study of the interaction between people and their environments, and analyze the spatial characteristics of all manner of cultural, economic, political, and physical processes and their relationships.
My research is focused on understanding human mobility patterns, travel behavior, and urban dynamics using spatiotemporal analytics, statistical models, discrete choice modeling, and machine learning techniques.
My doctoral research focuses on investigating the impacts of extreme weather events on agriculture, and human and economic development in India using spatial data science, machine learning and econometrics.
William's interests encompass the use of remotely sensed climate data (precipitation and evapotranspiration) to monitor crop-water demands and drought-related food insecurity in rainfed agricultural areas, particularly in eastern and southern Africa.
My research focuses on understanding movement behaviors of animals and humans, and their interactions with the environment, using machine learning/deep learning, spatial data science, and spatiotemporal modelling.
My research is on climate accountability, in which I bring together climate attribution research (specifically regarding drought), vulnerability assessments, and carbon accounting, all within the research program of climate justice.