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Modeling Conflict Dynamics with Spatio-temporal Data
     

Modeling Conflict Dynamics with Spatio-temporal Data

by Andrew Zammit-Mangion, Michael Dewar, Visakan Kadirkamanathan, Anaid Flesken, Guido Sanguinetti
 
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

Overview

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 practitionersin the involved fields but the book may also be beneficial for graduate students.

Product Details

ISBN-13:
9783319010373
Publisher:
Springer International Publishing
Publication date:
10/31/2013
Series:
SpringerBriefs in Applied Sciences and Technology / SpringerBriefs in Mathematical Methods Series
Edition description:
2013
Pages:
74
Product dimensions:
6.10(w) x 9.25(h) x 0.02(d)

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