Authors: Rebecca Loraamm*, University of Oklahoma
Topics: Geographic Information Science and Systems, Spatial Analysis & Modeling
Keywords: agent based model, time geography, space time prism, movement, GIS
Session Type: Paper
Presentation File: No File Uploaded
Developments surrounding the accuracy and availability of both animal and human movement trajectories have supported rapid growth in associated methodologies from the GIScience literature. Currently, combined approaches, such as those incorporating agent-based modeling and time geographic analysis represent an underexplored complementarity promising to benefit movement modeling research. This research introduces a new space-time constrained agent-based model, capable of producing ordered, behaviorally-informed potential paths between observed space-time anchors. Potential paths generated by this approach incorporate both observed animal behavior and classical space-time constraints, and are used to construct associated visit probability distributions. Results from this approach demonstrate an opportunity to combine methods found in time-geography, GIScience, and agent based modeling as a means to better characterize the varied movement opportunities within space-time prisms. By conceptualizing trajectories as sequences of object locations in space and time, trajectory datasets (both observed and simulated) can be leveraged towards better understandings for moving objects and their associated interactions and space use processes.
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