A dynamic visualization approach to the exploration of area-based, spatial-temporal data

The objective of this research is to develop a methodology for the exploration of area-based, spatial-temporal data to help the analyst obtain insights into the data under investigation. The methodology is based on the combination of the concept of exploratory data analysis and scientific visualization techniques. This research has been carried out at three levels: developing a conceptual framework for spatial data exploration using visualization techniques, developing a series of visualization methods to facilitate the exploration, and implementing a pilot operational system to demonstrate the methodology and to provide a platform for evaluating the methodology.;This dissertation first identifies the characteristics of a visualization system for spatial data exploration. It also distinguishes the exploratory displays from the conventional cartographic displays. A strategy to transfer traditional mapping methods to meet the requirements of visualization for spatial exploration is suggested.;Five visualization tools, termed as modules, have been developed. Each of these modules performs specific tasks for the exploration. The integration of multiple modules gives the analyst more power to explore the data. All of the modules are based on the strong interaction between the analyst and the visualization system. The Interactive Viewing Module provides several functions to help the analyst better interpret the displays generated by other modules. The Geographic Brushing Module is for the investigation of geographic correlation. The Alternagraphic Display Module is designed for the investigation of multiple geographic distributions. The Area Masking Module provides the capability of visualizing geographical movement with choroplethic representation. The Temporal Browsing/Brushing Module is aimed at investigating the temporal aspect of the database using "animated browsing" and "brushing.".;An experimental system has been implemented. It demonstrates the procedures to design the system, to implement the visualization modules, and to use the system. The experiment also reveals some technical constraints on the implementation of the methodology.;This research demonstrates that using visualization techniques for the exploration of spatial-temporal data presents an effective approach to enhancing our capability to understand huge amounts of spatial data. It can be used to enhance the analytical functionality of Geographic Information Systems (GIS).