Description: Modeling Conflict Dynamics with Spatio-temporal Data by Andrew Zammit-Mangion, Michael Dewar, Visakan Kadirkamanathan, Anaïd Flesken, Guido Sanguinetti 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Back Cover 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. Table of Contents Conflict Data Sets and Point Patterns.- Theory.- Modelling and Prediction in Conflict: Afghanistan. Feature Presents a self-contained introduction to conflict modeling Provides novel concepts which are broadly applicable Contains supplementary material, e.g. code and data sets Written by experts in the field Details ISBN3319010379 Author Guido Sanguinetti Short Title MODELING CONFLICT DYNAMICS W/S Language English ISBN-10 3319010379 ISBN-13 9783319010373 Media Book Format Paperback Year 2013 Pages 74 Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Edition 2013th Illustrations 1 Illustrations, color; 12 Illustrations, black and white; VIII, 74 p. 13 illus., 1 illus. in color. DOI 10.1007/978-3-319-01038-0 Publication Date 2013-10-11 UK Release Date 2013-10-11 Publisher Springer International Publishing AG Edition Description 2013 ed. DEWEY 355.020727 Audience Professional & Vocational Series SpringerBriefs in Mathematical Methods We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96373607;
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ISBN-13: 9783319010373
Book Title: Modeling Conflict Dynamics with Spatio-temporal Data
Number of Pages: 74 Pages
Language: English
Publication Name: Modeling Conflict Dynamics with Spatio-Temporal Data
Publisher: Springer International Publishing Ag
Publication Year: 2013
Subject: Engineering & Technology, Computer Science, Biology, Mathematics
Item Height: 235 mm
Item Weight: 1416 g
Type: Textbook
Author: Anaid Flesken, Visakan Kadirkamanathan, Guido Sanguinetti, Andrew Zammit-Mangion, Michael Dewar
Subject Area: Social Research
Item Width: 155 mm
Format: Paperback