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

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

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 This Edition

ISBN: 9783319881461
Publication date:
Author: Liliana Perez, EunKyeong Kim, Raja Sengupta
Publisher: Springer an imprint of Springer International Publishing
Format: Paperback
Pagination: 102 pages
Series: Advances in Geographic Information Science
Genres: Geographical information systems, geodata and remote sensing
Algorithms and data structures
Computer modelling and simulation
Databases