TY  - BOOK
AU  - Zammit-Mangion,Andrew
AU  - Dewar,Michael
AU  - Kadirkamanathan,Visakan
AU  - Flesken,Anaïd
AU  - Sanguinetti,Guido
ED  - SpringerLink (Online service)
TI  - Modeling Conflict Dynamics with Spatio-temporal Data
T2  - SpringerBriefs in Applied Sciences and Technology,
SN  - 9783319010380
AV  - QC1-999 
U1  - 621 23
PY  - 2013///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Physics
KW  - Probabilities
KW  - Mathematics
KW  - Social sciences
KW  - Sociophysics
KW  - Econophysics
KW  - Complexity, Computational
KW  - Socio- and Econophysics, Population and Evolutionary Models
KW  - Mathematics in the Humanities and Social Sciences
KW  - Complexity
KW  - Probability Theory and Stochastic Processes
KW  - Signal, Image and Speech Processing
N1  - Conflict Data Sets and Point Patterns -- Theory -- Modelling and Prediction in Conflict: Afghanistan
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-319-01038-0
ER  -