A Practical Introduction to Geospatial Visual Analytics
Tutorial at GIScience 2010 in Zurich, Tuesday, the 14th of September, 2010
The tutorial introduces Visual Analytics – 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 tools and methods for exploratory data analysis,
including interactive maps, statistical graphics and multiple
coordinated displays, data transformation methods for spatial and
temporal data, and appropriate computational techniques such as
cluster analysis and aggregation.
We focus on analyzing data about movement of discrete objects in
geographical space. We consider three different examples of data:
- movement of a single object during a long time period;
- simultaneous movement of multiple objects, such as city traffic;
- discrete (event-based) movement data, such as positions of Flickr photos.
The tutorial participants will be provided a complete version of
Geospatial Visual Analytics Toolkit (a.k.a. CommonGIS) and several
example real-world data sets. The toolkit may be used after the
tutorial for research and educational purposes.
Tutorial organisers
Drs. Natalia Andrienko and Gennady Andrienko received Master degree in
Computer Science from Kiev State University in 1985-1986 and Ph.D.
equivalent in Computer Science from Moscow State University in
1992-1993. They undertook research on knowledge-based systems at the
Institute for Mathematics of Moldavian Academy of Sciences (Kishinev,
Moldova), then at the Institute for Mathematical Problems of Biology
of Russian Academy of Sciences (Pushchino Research Center, Russia).
Since 1997 Drs. Andrienko are research fellows at GMD, now Fraunhofer
Institute for Intelligent Analysis and Information Systems IAIS.
They are authors of the monograph "Exploratory Analysis of Spatial and
Temporal Data" (December 2005, Springer), 40+ peer-reviewed journal
papers, 20+ book chapters, and 100+ papers in conference proceedings.
They have been involved in numerous international research projects.
Their research interests include geovisualization, information
visualization with a focus on spatial and temporal data, visual
analytics, interactive knowledge discovery and data mining, spatial
decision support and optimization.
Since 2007 Dr. Gennady Andrienko is chairing the ICA commission on
GeoVisualization. He co-organized several scientific events on visual
analytics, geovisualization, and visual data mining, and co-edited
several special issues of journals and proceedings volumes.
Tutorial outline
Format of tutorial: 1/2 day
- Introduction to visual analytics (30 minutes, lecture)
- Introduction to visual analytics toolkit (60 minutes, installation,
demo and hands-on), it's use for interactive geovisualization of
different types of spatio-temporal data: events, time series, and
trajectories of movement.
- Analysis of movement (75 minutes, demo and hands-on)
- - pre-processing of movement data
- - detection of stops and other movement episodes
- - aggregation in space and time
- - progressive clustering of trajectories
- - visual summarisation of clusters of trajectories
- Concluding remarks (15 minutes, overall discussion)
- - challenging {publicly available} data sets
- - open research problems, including computer science problems and
privacy issues
Intended audience (introductory, advanced) and any background
knowledge or skills required
The tutorial does not require special knowledge or skills.
Required materials (e.g. will you need internet access, lab
access, specific software installed?)
The hands-on lessons require lab access (at least one standard PC for
every two participants, it is possible to use individual MS Windows
laptops of the participants) and installation of the visual analytics
toolkit.
The toolkit is implemented in Java, therefore an installation of a
recent JRE is needed.
A special web site with data, software and installation instructions
will be prepared.
Internet access would be useful for accessing background maps from
OpenStreetMap and Google. However, the tutorial can be done without
internet connection as well.
Expected number of participants: 15-30
Slides of the previous courses:
http://geoanalytics.net/and/ (section “Lectures”)
Recommended prior reading
-
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 “sample chapter”
-
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/
-
Gennady Andrienko, Natalia Andrienko, Stefan Wrobel
Visual Analytics Tools for Analysis of Movement Data
ACM SIGKDD Explorations, 2007, v.9 (2), pp.38-46
http://www.sigkdd.org/explorations/issues/9-2-2007-12/5_Adrienko_Geo.pdf
Questions and comments: Natalia and Gennady Andrienko http://geoanalytics.net/and
Last updated: February 12, 2010