Modeling Conflict Dynamics with Spatio-temporal Data

Author:   Andrew Zammit-Mangion ,  Michael Dewar ,  Visakan Kadirkamanathan ,  Anaïd Flesken
Publisher:   Springer International Publishing AG
Edition:   2013 ed.
ISBN:  

9783319010373


Pages:   74
Publication Date:   11 October 2013
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Modeling Conflict Dynamics with Spatio-temporal Data


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

Full Product Details

Author:   Andrew Zammit-Mangion ,  Michael Dewar ,  Visakan Kadirkamanathan ,  Anaïd Flesken
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2013 ed.
Dimensions:   Width: 15.50cm , Height: 1.00cm , Length: 23.50cm
Weight:   1.416kg
ISBN:  

9783319010373


ISBN 10:   3319010379
Pages:   74
Publication Date:   11 October 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Conflict Data Sets and Point Patterns.- Theory.- Modelling and Prediction in Conflict: Afghanistan.

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