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Advances in Geographic Information Science

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)

Editors: Perez, Liliana, Kim, Eun-Kyeong, Sengupta, Raja (Eds.)

  • Provides timely discussions on how cutting-edge technologies of data collection, management, processing, and analysis change trends in complexity science approaches in geospatial sciences
  • Introduces the-state-of-the-art frameworks/methodologies to leverage advanced computational infrastructure to improve modeling, simulation, and data analysis
  • Introduces novel analysis/visualization methods for new types of geospatial big data
  • Shows how such advanced technologies and frameworks can be adapted to various application domains across natural and human phenomena
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eBook 142,79 €
price for Spain (gross)
  • ISBN 978-3-319-65993-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 176,79 €
price for Spain (gross)
  • ISBN 978-3-319-65992-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book contains a selection of papers presented during a special workshop on Complexity Science organized as 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.

 

About the authors

Liliana Perez is an Assistant Professor at the Department of Geography and director of the Laboratory of Environmental Geosimulation (LEDGE), University of Montreal, Canada. Liliana is interested in advancing GIScience methods applied to ecology, by developing modelling approaches to simulate ecological complexities in order to understand their behavior and dynamics as well as to use them as a starting point to begin planning and preparing management strategies in face of climate change. She has developed and implemented a series of simulation tools focusing on forestry, landscape ecology, biodiversity and climate change.

Eun-Kyeong Kim is a Ph.D. candidate in the GeoVISTA Center in the Department of Geography at the Pennsylvania State University. Eun-Kyeong’s research attempts to advance spatiotemporal data analysis methodologies by integrating methods from statistical physics and complexity science. She also has an interest in geospatial big data visualization with advanced technologies. She has served NSF-sponsored Big Data Education project as a graduate researcher, and is a co-author of big data analytics online textbook.

Raja Sengupta is Associate Professor, Geography and School of Environment at McGill University.  Dr. Sengupta is interested in research on both Artificial Life and Software Agents, and applying GIScience to environmental management issues and water resources management. He was an editorial board member for the journal Transactions in GIS (2011-2016) and is currently an editorial board member for Water International.


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Table of contents (7 chapters)

  • Developing High Fidelity, Data Driven, Verified Agent Based Models of Coupled Socio-Ecological Systems of Alaska Fisheries

    Cenek, Martin (et al.)

    Pages 1-16

  • Leveraging Coupled Agent-Based Models to Explore the Resilience of Tightly-Coupled Land Use Systems

    Bitterman, Patrick (et al.)

    Pages 17-30

  • Deconstructing Geospatial Agent-Based Model: Sensitivity Analysis of Forest Insect Infestation Model

    Anderson, Taylor (et al.)

    Pages 31-44

    Preview Buy Chapter 30,19 €
  • An Agent-Based Model to Identify Migration Pathways of Refugees: The Case of Syria

    Hébert, Guillaume Arnoux (et al.)

    Pages 45-58

    Preview Buy Chapter 30,19 €
  • Automated Extraction of Movement Rationales for Building Agent-Based Models: Example of a Red Colobus Monkey Group

    Sengupta, Raja (et al.)

    Pages 59-71

Buy this book

eBook 142,79 €
price for Spain (gross)
  • ISBN 978-3-319-65993-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 176,79 €
price for Spain (gross)
  • ISBN 978-3-319-65992-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Agent-Based Models and Complexity Science in the Age of Geospatial Big Data
Book Subtitle
Selected Papers from a workshop on Agent-Based Models and Complexity Science (GIScience 2016)
Editors
  • Liliana Perez
  • Eun-Kyeong Kim
  • Raja Sengupta
Series Title
Advances in Geographic Information Science
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-65993-0
DOI
10.1007/978-3-319-65993-0
Hardcover ISBN
978-3-319-65992-3
Series ISSN
1867-2434
Edition Number
1
Number of Pages
XI, 102
Number of Illustrations
4 b/w illustrations, 22 illustrations in colour
Topics