£108.71

Springer Agent-Based Models and Complexity Science Book

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Description

Explore the intersection of agent-based modeling and geospatial big data with this academic collection from Springer. As part of the Advances in Geographic Information Science series, this volume presents selected papers from a specialized workshop focused on complexity science. This book serves as a resource for professionals and researchers working within the fields of business, finance, and law who require a deeper understanding of how complex systems operate in a data-driven world. By examining the relationship between agent-based models and modern geospatial datasets, the text provides a foundation for studying complex spatial phenomena. Whether you are studying geographic information science or applying complexity theory to business and legal frameworks, this publication offers academic insights into how large-scale data impacts modeling techniques. It is an essential addition to any professional library focused on advanced geographic science and computational modeling.

Key Features

Part of the Advances in Geographic Information Science series by Springer.

Contains selected papers from a specialized workshop on Agent-Based Models.

Focuses on the application of complexity science within geospatial big data.

Provides academic content relevant to business, finance, and law subjects.

Offers research-based insights into modern geographic information science.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
25 August 2018
Listed Since
29 August 2018

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No barcode data available

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