Abstract
The project titled ‘ECOVIZ’ investigates the potential of motion-based visualization to transform the way environmental data is understood and emotionally experienced. Through an interactive visual system that merges 3D motion design with environmental datasets, the project explores how abstract ecological information can be translated into intuitive and immersive experiences. ECOVIZ examines the ways in which data visualization, when paired with motion, depth, and spatial interaction, can foster a deeper and more meaningful engagement with climate-related information, bridging the gap between scientific data and public comprehension. ‘ECOVIZ’ transforms environmental statistics into dynamic, visually expressive forms that mirror the rhythms, fluctuations, and instabilities of the natural world. By framing data through motion and sensory engagement, the project makes environmental issues more accessible and personally relevant. This experiential approach goes beyond simply presenting numbers; it encourages viewers to interpret ecological information through movement, metaphor, and visual symbolism. In doing so, ECOVIZ prompts audiences to reflect on the urgency, fragility, and interconnectedness of environmental systems. The ultimate objective of ‘ECOVIZ’ is to promote a heightened awareness of environmental change and inspire a more informed and emotionally resonant understanding of ecological issues. Through its fusion of motion graphics, visual communication, and interactive design, the project aims to foster curiosity, contemplation, and action, motivating individuals to approach environmental data with greater sensitivity, intention, and responsibility.
Publication Date
11-19-2025
Document Type
Thesis
Student Type
Graduate
Degree Name
Visual Communication Design (MFA)
Department, Program, or Center
Design, School of
College
College of Art and Design
Advisor
Mike Strobert
Advisor/Committee Member
Daniel DeLuna
Recommended Citation
Xu, Ronger, "ECOVIZ: Experience the Future of Environmental Insight Through Motion and Visuals" (2025). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/12376
Campus
RIT – Main Campus
