Modeling Conflict Dynamics with Spatio-temporal Data - Info and Reading Options
By Andrew Zammit-Mangion, Michael Dewar, Visakan Kadirkamanathan, Anaïd Flesken and Guido Sanguinetti

"Modeling Conflict Dynamics with Spatio-temporal Data" was published by Springer in Oct 01, 2013 and it has 84 pages.
“Modeling Conflict Dynamics with Spatio-temporal Data” Metadata:
- Title: ➤ Modeling Conflict Dynamics with Spatio-temporal Data
- Authors: Andrew Zammit-MangionMichael DewarVisakan KadirkamanathanAnaïd FleskenGuido Sanguinetti
- Number of Pages: 84
- Publisher: Springer
- Publish Date: Oct 01, 2013
“Modeling Conflict Dynamics with Spatio-temporal Data” Subjects and Themes:
- Subjects: ➤ War - Violence - Data mining - Physics - Distribution (Probability theory) - Engineering - Socio- and Econophysics, Population and Evolutionary Models - Mathematics in the Humanities and Social Sciences - Complexity - Probability Theory and Stochastic Processes - Image and Speech Processing Signal
Edition Specifications:
- Format: paperback
Edition Identifiers:
- The Open Library ID: OL28269097M - OL20875210W
- ISBN-13: 9783319010373
- ISBN-10: 3319010379
- All ISBNs: 3319010379 - 9783319010373
AI-generated Review of “Modeling Conflict Dynamics with Spatio-temporal Data”:
"Modeling Conflict Dynamics with Spatio-temporal Data" Description:
The Open Library:
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.
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