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Modeling conflict dynamics with spatiotemporal data

著者: Andrew Zammit-Mangion; Michael Dewar; Visakan Kadirkamanathan; Anaïd Flesken; Guido Sanguinetti
出版商: Cham : Springer, 2013.
丛书: SpringerBriefs in applied sciences and technology., Mathematical methods.
版本/格式:   电子图书 : 文献 : 英语查看所有的版本和格式
数据库:WorldCat
提要:
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  再读一些...
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详细书目

类型/形式: Electronic books
Statistics
附加的形体格式: Print version:
Zammit-Mangion, Andrew.
Modeling conflict dynamics with spatiotemporal data
(OCoLC)855200592
材料类型: 文献, 互联网资源
文档类型 互联网资源, 计算机文档
所有的著者/提供者: Andrew Zammit-Mangion; Michael Dewar; Visakan Kadirkamanathan; Anaïd Flesken; Guido Sanguinetti
ISBN: 9783319010380 3319010387 3319010379 9783319010373
OCLC号码: 861183509
描述: 1 online resource.
内容: Conflict data sets and point patterns --
Theory --
Modelling and prediction in conflict: Afghanistan.
丛书名: SpringerBriefs in applied sciences and technology., Mathematical methods.
责任: Andrew Zammit-Mangion, Michael Dewar, Visakan Kadirkamanathan, Anaïd Fleskin, Guido Sanguinetti.

摘要:

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  再读一些...

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