Perez L., Kim E.-K., Sengupta R. (eds.) 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)

Springer, 2018. — 111 p. — (Advances in Geographic Information Science). — ISBN: 9783319659923, 9783319659930.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.Developing High Fidelity, Data Driven, Verified Agent Based Models of Coupled Socio-Ecological Systems of Alaska Fisheries (Martin Cenek, Maxwell Franklin)
Leveraging Coupled Agent-Based Models to Explore the Resilience of Tightly-Coupled Land Use Systems (Patrick Bitterman, David A. Bennett)
Deconstructing Geospatial Agent-Based Model: Sensitivity Analysis of Forest Insect Infestation Model (Taylor Anderson, Suzana Dragićević)
An Agent-Based Model to Identify Migration Pathways of Refugees: The Case of Syria (Guillaume Arnoux Hébert, Liliana Perez, Saeed Harati)
Automated Extraction of Movement Rationales for Building Agent-Based Models: Example of a Red Colobus Monkey Group (Raja Sengupta, Colin C. Chapman, Dipto Sarkar, Sarah Bortolamiol)
Wealthy Hubs and Poor Chains: Constellations in the U.S. Urban Migration System (Xi Liu, Ransom Hollister, Clio Andris)
Discovering Multi-Scale Community Structures from the Interpersonal Communication Network on Twitter (Caglar Koylu)