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SUMMARY:Geospatial Visual Analytics
DTSTART:20090616T091500
DTSTAMP:20260407T064211Z
UID:c7a643169d9357212f6adde433cad5d14deeb379129bd72da68cf62e
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Gennady Andrienko and Dr Natalia Andrienko\, Fraunhofer Ins
 titute IAIS - Intelligent Analysis and Information Systems\nThe course int
 roduces Visual Analytics – a new research discipline defined as the scie
 nce of analytical reasoning facilitated by interactive visual interfaces. 
 Visual analytics combines automated analysis techniques with interactive v
 isualizations 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. \n\nWe present
  a system of exploratory data analysis tools and methods\, including inter
 active maps\, statistical graphics and multiple coordinated displays\, dat
 a transformations applicable to spatial and temporal data\, and appropriat
 e computational techniques such as cluster analysis and aggregation.\n\nWe
  consider analytical questions related to spatial time series and to spati
 ally distributed events\, describe general types of patterns that can be f
 ound in such data\, and suggest appropriate visual analytics methods. \n\n
 We discuss in more detail the problems of analyzing data about movement of
  various discrete objects in geographical space. We consider three types o
 f movement data: data describing movements of a single entity during a lon
 g time period\, data about simultaneous movements of multiple unrelated en
 tities\, and data about simultaneous movements of multiple related entitie
 s. The pertinent analysis tasks significantly differ for these types of da
 ta. For each type of data\, we briefly introduce the visual analytics tech
 niques and tools we have developed in the recent years.\nHomepage of Dr Na
 talia Andriekno and Dr Grennady Andrienko
LOCATION:BC 01 https://plan.epfl.ch/?room==BC%2001
STATUS:CONFIRMED
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