Modeling Movement Within Geographic Context
"Modeling Movement Within Geographic Context"
Abstract: Both intrinsic characteristics and the environment of individuals contribute to their movement patterns. These factors drive movement trajectories of individuals at multiple spatial and temporal scales. At the global scales, the trajectory of an individual is driven by the global objectives of movement (e.g. commuting, shopping, hunting, foraging). At the local scales, patterns of movement are formed by local choices and movement capacities of individuals. These local choices are influenced by the environment and the geographic context within which the movement takes place. To understand movement, it is therefore essential to study and model the underlying mechanism driving movement patterns of individuals at different scales. With the growing ubiquity of sensors to collect movement and contextual data, we now have ample means of measuring and contextualizing movement in various applications such as movement ecology, human mobility, and health and environmental problems (e.g. disease diffusion, hurricanes). In this presentation, using case studies from movement ecology, I highlight the importance of context in the study, analysis, and modeling of movement. The presentation provides an overview of ways to contextualize movement and to incorporate context variables in computational movement analysis.
Friday, May 5, 2017
12:15 p.m.-1:15 p.m.
MPC Seminar Room, 50 Willey Hall
The MPC Workshop provides a rich set of opportunities for faculty, staff, and students to familiarize themselves with, and keep abreast of, the important work being done at the MPC. Faculty, staff, and students are encouraged to present their research and other works in progress and to pursue professional training and development. Everyone is welcome and snacks will be served.