Modeling Conflict Dynamics with Spatio-temporal Data

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 pr...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Zammit-Mangion, Andrew (Autor), Dewar, Michael (Autor), Kadirkamanathan, Visakan (Autor), Flesken, Anaïd (Autor), Sanguinetti, Guido (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:SpringerBriefs in Mathematical Methods,
Temas:
System theory.
Mathematics.
Social sciences.
Dynamics.
Nonlinear theories.
Probabilities.
Signal processing.
Complex Systems.
Mathematics in the Humanities and Social Sciences.
Applied Dynamical Systems.
Probability Theory.
Signal, Speech and Image Processing .
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-319-01038-0
003 DE-He213
005 20220117052618.0
007 cr nn 008mamaa
008 130930s2013 sz | s |||| 0|eng d
020 |a 9783319010380  |9 978-3-319-01038-0 
024 7 |a 10.1007/978-3-319-01038-0  |2 doi 
050 4 |a Q295 
072 7 |a GPFC  |2 bicssc 
072 7 |a SCI064000  |2 bisacsh 
072 7 |a GPFC  |2 thema 
082 0 4 |a 530.1  |2 23 
100 1 |a Zammit-Mangion, Andrew.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Modeling Conflict Dynamics with Spatio-temporal Data  |h [electronic resource] /  |c by Andrew Zammit-Mangion, Michael Dewar, Visakan Kadirkamanathan, Anaïd Flesken, Guido Sanguinetti. 
250 |a 1st ed. 2013. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2013. 
300 |a VIII, 74 p. 13 illus., 1 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Mathematical Methods,  |x 2365-0834 
505 0 |a Conflict Data Sets and Point Patterns -- Theory -- Modelling and Prediction in Conflict: Afghanistan. 
520 |a 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. 
650 0 |a System theory. 
650 0 |a Mathematics. 
650 0 |a Social sciences. 
650 0 |a Dynamics. 
650 0 |a Nonlinear theories. 
650 0 |a Probabilities. 
650 0 |a Signal processing. 
650 1 4 |a Complex Systems. 
650 2 4 |a Mathematics in the Humanities and Social Sciences. 
650 2 4 |a Applied Dynamical Systems. 
650 2 4 |a Probability Theory. 
650 2 4 |a Signal, Speech and Image Processing . 
700 1 |a Dewar, Michael.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Kadirkamanathan, Visakan.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Flesken, Anaïd.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Sanguinetti, Guido.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319010397 
776 0 8 |i Printed edition:  |z 9783319010373 
830 0 |a SpringerBriefs in Mathematical Methods,  |x 2365-0834 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-319-01038-0  |z Texto Completo 
912 |a ZDB-2-SMA 
912 |a ZDB-2-SXMS 
950 |a Mathematics and Statistics (SpringerNature-11649) 
950 |a Mathematics and Statistics (R0) (SpringerNature-43713) 

Ejemplares similares