[Asis-l] Talk Reminder : "Spatio-temporal information visualization" talk TODAY at 2pm

[Rose, Anne]

> Hi All,
> 
> Dr. Gennady Andrienko from Germany's Fraunhofer Institut Autonome Intelligente
> Systeme, will be the next guest speaker in the HCIL Fall Seminar Series.  
> 
> His talk, "Spatio-temporal information visualization"  will take place next
> Friday, November 14  at 2:00pm in room 2107 of the Computer Science
> Instructional Center (CSIC) on campus.
> 
> We hope you can join us for this free talk.  No registration is needed.
> 
> ABSTRACT:
> 
> Gennady Andrienko: "Spatio-temporal information visualization" 
> The importance of exploratory data analysis (EDA) as a prerequisite to
> application of computational methods, such as traditional statistical
> analysis, is currently widely recognized. The goal of EDA is to gain
> understanding of data, i.e. to penetrate into relationships, patterns, and
> trends hidden inside data and to formulate hypotheses that can later be
> checked using statistical methods. Preliminary investigation of data must also
> precede their preparation to processing by various computation-based analysis
> tools, such as data mining. 
> 
> Techniques of EDA are mostly based on data visualization, i.e. the graphical
> presentation of data in ways that prompt the discovery of important traits and
> relationships. Computers enabled features of graphical presentations that are
> now considered indispensable for EDA: high user interactivity, allowance for
> various transformations, and multiple dynamically linked views such that
> changes in one display are immediately propagated to all others. An important
> category of data dealt with in statistics is spatially referenced data. For
> visualization of such data, maps are traditionally used, since they are
> isomorphic to space and thus capable of representing and conveying to human's
> eye significant spatial relationships. High degree of user interactivity is a
> general requirement to map displays intended to support "spatial thinking",
> i.e. hypothesis generation, data analysis, and decision making. Examples of
> possible user interactions include: 
> *	Dynamic linking of maps with other types of graphical displays by
> so-called "brushing": objects selected in one of the displays are
> simultaneously highlighted in all of them; 
> *	Tools for changing in real time parameters of conventional cartographic
> methods such as the classes in a choropleth map; 
> *	Various interactive devices for controlling map animation 
> Still, interactive techniques and tools can support information exploration
> and knowledge construction only when users are able to properly utilize these
> instruments. User studies demonstrate that effective use of the novel
> techniques requires learning of the new concepts and ideas. Users are able to
> understand and adopt the new ideas concerning map interactivity and
> manipulability. However, these ideas needed to be appropriately introduced;
> people could not grasp them just from the appearance of the maps and controls.
> 
> Our Spatial Decision Support Team (SPADE) at the Fraunhofer Institute for
> Autonomous Intelligent Systems designs and implements novel visualization
> techniques to support exploratory data analysis and decision making in a
> spatial context. In particular, we have analyzed traditional methods of
> graphical and cartographical data representation, revealed their strong and
> weak sides, and found ways to enhance their strengths and compensate for
> weaknesses by adding interactivity and dynamics. We combine cartographic
> visualization with other methods of graphical data representation and data
> analysis methods from other disciplines, such as statistics and data mining.
> To support multi-criteria decision making, we combine established techniques
> for multi-criteria decision support with interactive maps and graphs and
> invent our own methods, highly interactive and visual. We suggest a range of
> techniques for decision support accommodating various styles of
> decision-making. 
> 
> The general topic of the proposed tutorial is visualization of spatial data as
> a tool for exploratory data analysis, problem solving, and decision-making.
> The tutorial will be based on the CommonGIS system developed by the SPADE
> team. The system is available for free use for research and educational
> purposes. The participants will receive CD-ROMs containing fully functional
> CommonGIS system and a variety of demonstration projects. 
> 
> Most of the tools considered in the tutorial are unique for CommonGIS since
> this system have been specially designed for the most efficient support of EDA
> and decision-making. However, the experience gained in the tutorial can be
> also utilized in work with commercially available software. In many cases,
> operations that are effectively "packed" in CommonGIS into a single tool may
> be done in other packages through sequences of data transformation,
> calculation, and visualization operations. Some recommendations concerning
> data exploration and decision making with the use of available commercial
> software will be given. 
> 
> The tutorial will be held in  1.5  hours and consists of a lecture combined
> with demonstration.
> A collection of slides is available at
> http://www.commongis.com/tutorial/tutorial-ppt.zip
> 
> 
> The last talk in the HCIL Fall Seminar Series will take place in December...
> 
>       December 2, 2:00pm (2120 CSIC) - Dr. Mike Eisenberg, University of
> Colorado at Boulder's Cognitive Science Institute,  	"Mindstuff: Educational
> Technology Beyond the Computer"
> 
> 
> Please email hcil-info at cs.umd.edu or call 301-405-2725 with any questions.  
> 
> We hope to see you here!
> 
> 
> Sincerely,
Anne Rose

_______________________________________________
Questions about HCIL or this list, contact hcil-info at cs.umd.edu.