Modeling Conflict Dynamics with Spatio-temporal Data
1st Edition
Published on 30. September 2013
VIII, 74 pages
978-3-319-01038-0 (ISBN)
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.
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.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
VIII, 74 p. 13 illus., 1 illus. in color.
File size
2,22 MB
ISBN-13
978-3-319-01038-0 (9783319010380)
DOI
10.1007/978-3-319-01038-0
Schweitzer Classification
Other editions
Additional editions
Andrew Zammit-Mangion | Michael Dewar | Visakan Kadirkamanathan
Modeling Conflict Dynamics with Spatio-temporal Data
Book
10/2013
Springer
€53.49
Shipment within 10-15 days
Content
Conflict Data Sets and Point Patterns.- Theory.- Modelling and Prediction in Conflict: Afghanistan.
