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Modeling conflict dynamics with spatiotemporal data

作者: Andrew Zammit-Mangion
出版商: Cham : Springer, 2013.
叢書: SpringerBriefs in applied sciences and technology., Mathematical methods.
版本/格式:   電子書 : 文獻 : 英語所有版本和格式的總覽
資料庫: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  再讀一些...
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詳細書目

類型/形式: Electronic books
其他的實體格式: Print version:
Zammit-Mangion, Andrew, author.
Modeling conflict dynamics with spatiotemporal data
(OCoLC)855200592
資料類型: 文獻, 網際網路資源
文件類型: 網路資源, 電腦資料
所有的作者/貢獻者: Andrew Zammit-Mangion
ISBN: 9783319010380 3319010387
OCLC系統控制編碼: 861183509
描述: 1 online resource.
内容: Conflict data sets and point patterns --
Theory --
Modelling and prediction in conflict: Afghanistan.
叢書名: SpringerBriefs in applied sciences and technology., Mathematical methods.
責任: Andrew Zammit-Mangion, Michael Dewar, Visakan Kadirkamanathan, Anaïd Fleskin, Guido Sanguinetti.
更多資訊:

摘要:

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 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 practitionersin the involved fields but the book may also be beneficial for graduate students.

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