Master’s Project Presentation on Events
Event Viewer – A platform for the exploration and visualization of events
Project Presentation by Tega Dibbie, Thursday May 11 at 1pm in Room 336 Boardman Hall
Abstract
The need for exploratory spatial and temporal data analysis tools has increased with the growth of sensor systems that produce large data sets combining spatial, temporal, and multiple thematic attributes. While geographical information system (GIS) software supports exploration of spatial data, and time series analysis tools such as MATLAB support exploration of temporal data, these tools do not intuitively present the spatial and temporal relationships between events.
The developed prototype presents a framework for visualizing and exploring spatial, temporal and thematic sensor-based data. The prototype system is an initial realization of a conceptual model, the Event Viewer, developed by K. Beard, H. Deese, and N. R. Pettigrew (2008). The visual interface is designed to allow users to flexibly modify and explore spatial and temporal patterns, event-event relationships based on thematic attributes, and event patterns at different temporal and spatial scales.
I have developed a new EventViewer prototype to explore water quality data (precipitation and fecal coliform bacteria levels) at different locations along the coast of Maine. The Event Viewer is used to visualize and explore spatial, temporal and event-event relationships that exist between precipitation and fecal coliform events, and how it relates to water quality in the State of Maine. A statistical analysis component is added to the Event Viewer to assess the relationship between co-occurrence of events, specifically if high precipitation events are directly related to outbreaks of fecal coliform bacteria in water bodies.