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Modeling conflict dynamics with spatiotemporal data Andrew Zammit-Mangion, Michael Dewar, Visakan Kadirkamanathan, Anaïd Fleskin, Guido Sanguinetti
Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2013 English International Available online
View online- Format:
- Book
- Author/Creator:
- Zammit-Mangion, Andrew, author.
- Dewar, Michael, author.
- Kadirkamanathan, Visakan, 1962- author.
- Flesken, Anaïd, author.
- Sanguinetti, Guido, 1974- author.
- Series:
- SpringerBriefs in applied sciences and technology. Mathematical methods
- SpringerBriefs in applied sciences and technology, Mathematical methods
- Language:
- English
- Subjects (All):
- War--Forecasting.
- War.
- Violence--Statistics.
- Violence.
- Violence--Forecasting.
- Data mining.
- Social sciences.
- Probabilities.
- Image processing.
- Data Mining.
- Violence--trends.
- Warfare.
- Social Sciences.
- Probability.
- social sciences.
- probability.
- image processing.
- Medical Subjects:
- Data Mining.
- Violence--trends.
- Warfare.
- Social Sciences.
- Probability.
- Genre:
- Statistics
- Physical Description:
- 1 online resource
- Place of Publication:
- Cham Springer 2013
- Language Note:
- English
- System Details:
- text file
- Summary:
- 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
- Contents:
- Conflict data sets and point patterns Theory Modelling and prediction in conflict: Afghanistan
- Notes:
- Includes bibliographical references and index
- Print version record
- Other Format:
- Print version Zammit-Mangion, Andrew. Modeling conflict dynamics with spatiotemporal data
- ISBN:
- 9783319010380
- 3319010387
- 3319010379
- 9783319010373
- OCLC:
- 861183509
- Access Restriction:
- Restricted for use by site license
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