Volunteered Geographic Information: Interpretation, Visualization and Social Context

Dirk Burghardt
Édition Daniel Keim , Elena Demidova
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Volunteered Geographic Information: Interpretation, Visualization and Social Context

Dirk Burghardt
Édition Daniel Keim , Elena Demidova
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297 PAGESANGLAIS

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  • Date de publication : Dec 09, 2023
  • Langue : anglais
  • Nombre de pages : 297
  • Éditeur : Springer Nature
  • ISBN : 9783031353734
  • Dimensions : 6.1" W x 1.0" L x 9.25" H

Dirk Burghardt is Professor of Cartographic Communication at the Institute of Cartography, TU Dresden, Germany, and Vice-President of the German Society of Cartography. He is the coordinator and speaker of the VGIscience priority program funded by the German Research Foundation (2016-2023). His main research interests include geovisual analytics and cartographic communication, automated generalisation and map production, geographic information retrieval and multiscale representations with focus on location-based social media data.

Elena Demidova is Professor of Computer Science and Head of the Data Science and Intelligent Systems Group (DSIS) at the University of Bonn, Germany. Previously, she worked as Research Group Leader at the L3S Research Center, Leibniz University of Hannover, Germany, and as Senior Researcher at the University of Southampton, UK. Her main research interests include data analytics, machine learning, the Web, and Semantic Web technologies.

Daniel A. Keim is Full Professor and Head of the Information Visualization and Data Analysis Research Group in the Computer and Information Science Department of the University of Konstanz, Germany. He has been actively involved in data analysis and information visualization research for more than 25 years and developed a number of novel visual analysis techniques for large data sets. He is a recipient of IEEE VGTC 2011 Visualization Technical Achievement Award, and his work has been recognized through a variety of further awards including best paper and honorable mention awards at the ACM SIGMOD, ACM SIGKDD, and IEEE VAST conferences as well as several awards at the IEEE Visual Analytics Contest.

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