Modeling Conflict Dynamics with Spatio-temporal Data (Paperback, 2013 ed.)

This authored monograph presents the use of dynamic spatiotemporal modeling tools for the identification of complex underlying processes in conflict, such as diffusion, relocation, heterogeneous escalation, and volatility. The authors use ideas from statistics, signal processing, and ecology, and provide a predictive framework which is able to assimilate data and give confidence estimates on the predictions. The book also demonstrates the methods on the WikiLeaks Afghan War Diary, the results showing that this approach allows deeper insights into conflict dynamics and allows a strikingly statistically accurate forward prediction of armed opposition group activity in 2010, based solely on data from preceding years. The target audience primarily comprises researchers and practitioners in the involved fields but the book may also be beneficial for graduate students.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Mathematical Methods
Release date:	October 2013
First published:	2013
Authors:	Andrew Zammit-Mangion • Michael Dewar • Visakan Kadirkamanathan • Anaid Flesken • Guido Sanguinetti
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Paperback
Pages:	74
Edition:	2013 ed.
ISBN-13:	978-3-319-01037-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-319-01037-9
Barcode:	9783319010373

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