Agent-Based Models and Complexity Science in the Age of Geospatial Big Data

Selected Papers from a workshop on Agent-Based Models and Complexity Science (GIScience 2016)

  • Liliana Perez
  • Eun-Kyeong Kim
  • Raja Sengupta

Part of the Advances in Geographic Information Science book series (AGIS)

About these proceedings


This book contains a selection of papers presented during a special workshop on Complexity Science that took part of the 9th International Conference on GIScience 2016. Expert researchers in the areas of Agent-Based Modeling, Complexity Theory, Network Theory, Big Data, and emerging methods of Analysis and Visualization for new types of data explore novel complexity science approaches to dynamic geographic phenomena and their applications, addressing challenges and enriching research methodologies in geography in a Big Data Era.


Geospatial Big Data Complexity Science Agent-Based Modeling Pattern Detection GIScience 2016 UCGIS

Editors and affiliations

  • Liliana Perez
    • 1
  • Eun-Kyeong Kim
    • 2
  • Raja Sengupta
    • 3
  1. 1.Laboratoire de Géosimulation Environnementale, Department of GeographyUniversité de MontréalMontrealCanada
  2. 2.Department of GeographyPennsylvania State UniversityUniversity ParkUSA
  3. 3.Department of Geography, School of EnvironmentMcGill UniversityMontrealCanada

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-3-319-65992-3
  • Online ISBN 978-3-319-65993-0
  • Series Print ISSN 1867-2434
  • Series Online ISSN 1867-2442
  • Buy this book on publisher's site
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