4th Nordic Summer School
in Geographic Information Science
The course introduces Visual Analytics ¨C a new research discipline defined as the science of analytical reasoning facilitated by interactive visual interfaces. Visual analytics combines automated analysis techniques with interactive visualizations so that to extend the perceptual and cognitive abilities of humans and enable them to extract useful information and derive knowledge from large and complex data and to solve complex problems. Particularly, data and problems involving geospatial components and time are inherently complex and therefore call for visual analytics approaches.
We present a system of exploratory data analysis tools and methods, including interactive maps, statistical graphics and multiple coordinated displays, data transformations applicable to spatial and temporal data, and appropriate computational techniques such as cluster analysis and aggregation.
We consider analytical questions related to spatial time series and to spatially distributed events, describe general types of patterns that can be found in such data, and suggest appropriate visual analytics methods.
We discuss in more detail the problems of analyzing data about movement of various discrete objects in geographical space. We consider three types of movement data: data describing movements of a single entity during a long time period, data about simultaneous movements of multiple unrelated entities, and data about simultaneous movements of multiple related entities. The pertinent analysis tasks significantly differ for these types of data. For each type of data, we briefly introduce the visual analytics techniques and tools we have developed in the recent years.
Slides of the course: http://geoanalytics.net/and/ (section ˇ°Lecturesˇ±)
Illustrations for the web site:
Recommended prior reading:
1. Natalia and Gennady Andrienko. Exploratory Analysis of Spatial and Temporal Data. A Systematic Approach. Springer-Verlag, December 2005. Chapter 1: Introduction. Available at http://geoanalytics.net/eda/ as ˇ°sample chapterˇ±
2. Gennady Andrienko, Natalia Andrienko, Jason Dykes, Sara Irina Fabrikant, Monica Wachowicz. Geovisualization of Dynamics, Movement and Change: Key Issues and Developing Approaches in Visualization Research. Information Visualization, 2008, v.7 (3/4), pp. 173-180, http://dx.doi.org/10.1057/ivs.2008.23 Available as pre-print at http://geoanalytics.net/and/