LEADER 03887nam 22008295 450 001 9910438031203321 005 20251202135334.0 010 $a3-319-01038-7 024 7 $a10.1007/978-3-319-01038-0 035 $a(CKB)3710000000019092 035 $a(EBL)1466472 035 $a(SSID)ssj0001010515 035 $a(PQKBManifestationID)11551929 035 $a(PQKBTitleCode)TC0001010515 035 $a(PQKBWorkID)10999685 035 $a(PQKB)10217470 035 $a(DE-He213)978-3-319-01038-0 035 $a(MiAaPQ)EBC1466472 035 $a(PPN)172423422 035 $a(EXLCZ)993710000000019092 100 $a20130930d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aModeling Conflict Dynamics with Spatio-temporal Data /$fby Andrew Zammit-Mangion, Michael Dewar, Visakan Kadirkamanathan, Anaïd Flesken, Guido Sanguinetti 205 $a1st ed. 2013. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2013. 215 $a1 online resource (82 p.) 225 1 $aSpringerBriefs in Mathematical Methods,$x2365-0834 300 $aDescription based upon print version of record. 311 08$a3-319-01037-9 320 $aIncludes bibliographical references and index. 327 $aConflict Data Sets and Point Patterns -- Theory -- Modelling and Prediction in Conflict: Afghanistan. 330 $aThis authored monograph presents the use of dynamic spatiotemporal modeling tools for the identification of complex underlying processes in conflict, such as diffusion, relocation, heterogeneous escalation, and volatility. The authors use ideas from statistics, signal processing, and ecology, and provide a predictive framework which is able to assimilate data and give confidence estimates on the predictions. The book also demonstrates the methods on the WikiLeaks Afghan War Diary, the results showing that this approach allows deeper insights into conflict dynamics and allows a strikingly statistically accurate forward prediction of armed opposition group activity in 2010, based solely on data from preceding years. The target audience primarily comprises researchers and practitioners in the involved fields but the book may also be beneficial for graduate students. 410 0$aSpringerBriefs in Mathematical Methods,$x2365-0834 606 $aSystem theory 606 $aMathematics 606 $aSocial sciences 606 $aDynamics 606 $aNonlinear theories 606 $aProbabilities 606 $aSignal processing 606 $aComplex Systems 606 $aMathematics in the Humanities and Social Sciences 606 $aApplied Dynamical Systems 606 $aProbability Theory 606 $aSignal, Speech and Image Processing 615 0$aSystem theory. 615 0$aMathematics. 615 0$aSocial sciences. 615 0$aDynamics. 615 0$aNonlinear theories. 615 0$aProbabilities. 615 0$aSignal processing. 615 14$aComplex Systems. 615 24$aMathematics in the Humanities and Social Sciences. 615 24$aApplied Dynamical Systems. 615 24$aProbability Theory. 615 24$aSignal, Speech and Image Processing. 676 $a355.02 676 $a355.020727 700 $aZammit-Mangion$b Andrew$4aut$4http://id.loc.gov/vocabulary/relators/aut$0785870 702 $aDewar$b Michael$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKadirkamanathan$b Visakan$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aFlesken$b Anaïd$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSanguinetti$b Guido$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910438031203321 996 $aModeling Conflict Dynamics with Spatio-temporal Data$92510961 997 $aUNINA