Vai al contenuto principale della pagina

Modeling Conflict Dynamics with Spatio-temporal Data / / by Andrew Zammit-Mangion, Michael Dewar, Visakan Kadirkamanathan, Anaïd Flesken, Guido Sanguinetti



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Zammit-Mangion Andrew Visualizza persona
Titolo: Modeling Conflict Dynamics with Spatio-temporal Data / / by Andrew Zammit-Mangion, Michael Dewar, Visakan Kadirkamanathan, Anaïd Flesken, Guido Sanguinetti Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013
Edizione: 1st ed. 2013.
Descrizione fisica: 1 online resource (82 p.)
Disciplina: 355.02
355.020727
Soggetto topico: Sociophysics
Econophysics
Mathematics
Social sciences
Computational complexity
Probabilities
Signal processing
Image processing
Speech processing systems
Data-driven Science, Modeling and Theory Building
Mathematics in the Humanities and Social Sciences
Complexity
Probability Theory and Stochastic Processes
Signal, Image and Speech Processing
Persona (resp. second.): DewarMichael
KadirkamanathanVisakan
FleskenAnaïd
SanguinettiGuido
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Conflict Data Sets and Point Patterns -- Theory -- Modelling and Prediction in Conflict: Afghanistan.
Sommario/riassunto: 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.
Titolo autorizzato: Modeling Conflict Dynamics with Spatio-temporal Data  Visualizza cluster
ISBN: 3-319-01038-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910438031203321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: SpringerBriefs in Mathematical Methods, . 2365-0826