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Visual Analytics of Movement

Autor Gennady Andrienko, Natalia Andrienko, Peter Bak, Daniel Keim, Stefan Wrobel
en Limba Engleză Hardback – 7 oct 2013
Many important planning decisions in society and business depend on proper knowledge and a correct understanding of movement, be it in transportation, logistics, biology, or the life sciences. Today the widespread use of mobile phones and technologies like GPS and RFID provides an immense amount of data on location and movement.  What is needed are new methods of visualization and algorithmic data analysis that are tightly integrated and complement each other to allow end-users and analysts to extract useful knowledge from these extremely large data volumes.
This is exactly the topic of this book. As the authors show, modern visual analytics techniques are ready to tackle the enormous challenges brought about by movement data, and the technology and software needed to exploit them are available today.
The authors start by illustrating the different kinds of data available to describe movement, from individual trajectories of single objects to multiple trajectories of many objects, and then proceed to detail a conceptual framework, which provides the basis for a fundamental understanding of movement data. With this basis, they move on to more practical and technical aspects, focusing on how to transform movement data to make it more useful, and on the infrastructure necessary for performing visual analytics in practice. In so doing they demonstrate that visual analytics of movement data can yield exciting insights into the behavior of moving persons and objects, but can also lead to an understanding of the events that transpire when things move. Throughout the book, they use sample applications from various domains and illustrate the examples with graphical depictions of both the interactive displays and the analysis results.
In summary, readers will benefit from this detailed description of the state of the art in visual analytics in various ways. Researchers will appreciate the scientific precision involved, software technologists will find essential information on algorithms and systems, and practitioners will profit from readily accessible examples with detailed illustrations for practical purposes.
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Specificații

ISBN-13: 9783642375828
ISBN-10: 3642375820
Pagini: 408
Ilustrații: XVIII, 387 p. 200 illus., 178 illus. in color.
Dimensiuni: 160 x 241 x 28 mm
Greutate: 0.72 kg
Ediția:2013
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Introduction.- Conceptual framework.- Transformations of movement data.- Visual analytics infrastructure.- Visual analytics focusing on movers.- Visual analytics focusing on spatial events.- Visual analytics focusing on space.- Visual analytics focusing on time.- Discussion and outlook.

Notă biografică

The three authors are affiliated with the Fraunhofer AIS (Institute for Autonomous Intelligent Systems), department SPADE (Spatial Decision Support; http://www.ais.fraunhofer.de/SPADE/) Dr. Natalia Andrienko and Dr. Gennady Andrienko are research and technology managers of the SPADE team. They received their Master degrees in Computer Science from the Kiev State University in 1985 and 1986, respectively, and Ph.D. equivalents in Computer Science from Moscow State University in 1992 and 1993, respectively. They worked on knowledge-based systems research at the Mathematics Institute of the Moldavian Academy of Sciences (Kishinev, Moldova), then at the Institute on Mathematical Problems of Biology of the Russian Academy of Sciences (Pushchino Research Center, Russia). Since 1997, Drs. Andrienko have research positions at GMD (since 2001 united with the Fraunhofer Gesellschaft). They have been instrumental in numerous international R&D projects, including EU-funded projects CommonGIS, SPIN!, and GIMMI. They are authors of more than 100 refereed papers that have been published in international journals, books, and conference proceedings. They are active members of two commissions of the International Cartographic Association: Commission on Visualization and Virtual Reality and Commission on Maps and the Internet. Their research interests and experiences are: exploratory analysis of spatial and temporal data; interactive and dynamic computer graphics for data analysis and decision making, in particular, maps; automated knowledge-based cartographic visualisation. Dr. Hans Voss is general manager of the SPADE team. He received his Diploma in Computer Science from Bonn University in 1981, and his Research Doctorate in Computer Science from University of Kaiserslautern in 1986. Since 1986 he is working at GMD (now Fraunhofer Institute AIS), Sankt Augustin, Germany. He was head of projects on real-time expert systems, on the product development of an expert system workbench Babylon, and on knowledge engineering in the context of diagnostic expert systems. From 1992 until 1998 he was head of the research area on Cooperative Design (about twenty researchers). He was coordinator of the EU-funded projects GeoMed-F and CommonGIS. In 1997, he co-founded the GMD spin-off company Dialogis GmbH, and acted as co-director during the first two years of its functioning. He is particularly interested in the integration of various technologies in order to support cooperative/competitive spatio-temporal planning and decision-making.

Textul de pe ultima copertă

Many important planning decisions in society and business depend on proper knowledge and a correct understanding of movement, be it in transportation, logistics, biology, or the life sciences. Today the widespread use of mobile phones and technologies like GPS and RFID provides an immense amount of data on location and movement.  What is needed are new methods of visualization and algorithmic data analysis that are tightly integrated and complement each other to allow end-users and analysts to extract useful knowledge from these extremely large data volumes.
This is exactly the topic of this book. As the authors show, modern visual analytics techniques are ready to tackle the enormous challenges brought about by movement data, and the technology and software needed to exploit them are available today.
The authors start by illustrating the different kinds of data available to describe movement, from individual trajectories of single objects to multiple trajectories of many objects, and then proceed to detail a conceptual framework, which provides the basis for a fundamental understanding of movement data. With this basis, they move on to more practical and technical aspects, focusing on how to transform movement data to make it more useful, and on the infrastructure necessary for performing visual analytics in practice. In so doing they demonstrate that visual analytics of movement data can yield exciting insights into the behavior of moving persons and objects, but can also lead to an understanding of the events that transpire when things move. Throughout the book, they use sample applications from various domains and illustrate the examples with graphical depictions of both the interactive displays and the analysis results.
In summary, readers will benefit from this detailed description of the state of the art in visual analytics in various ways. Researchers will appreciate the scientific precision involved, software technologists will find essential information on algorithms and systems, and practitioners will profit from readily accessible examples with detailed illustrations for practical purposes.

Caracteristici

Presents a multidisciplinary approach, combining methods from e.g. visualization, data mining, cartography, and geographical information science Introduces a general conceptual framework for the analysis of movement data from various sources Illustrates all algorithms and methods with the help of sample applications from various domains Includes supplementary material: sn.pub/extras