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) /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Perez, Liliana (Editor, http://id.loc.gov/vocabulary/relators/edt), Kim, Eun-Kyeong (Editor, http://id.loc.gov/vocabulary/relators/edt), Sengupta, Raja (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Advances in Geographic Information Science,
• Subjects: Geographical information systems.; Computer simulation.; Big data.; Algorithms.; Geographical Information Systems/Cartography.; Simulation and Modeling.; Big Data/Analytics.; Big Data.; Algorithm Analysis and Problem Complexity.
• Physical Description: XI, 102 p. 26 illus., 22 illus. in color. online resource.
• ISBN: 9783319659930
• ISSN: 1867-2434
• DOI: 10.1007/978-3-319-65993-0

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.