To the greatest lengths al Qaeda, proximity, and recruitment risk
Approved for public release; distribution is unlimited === In October 2007, a raid in the town of Sinjar, Iraq produced a large trove of foreign fighter personnel records. In the years since this discovery, researchers have used this data in an effort to illuminate the places from which recruits j...
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Monterey, California. Naval Postgraduate School
2012
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ndltd-nps.edu-oai-calhoun.nps.edu-10945-49482015-08-06T16:02:04Z To the greatest lengths al Qaeda, proximity, and recruitment risk Rodriguez, Ismael R. Everton, Sean Tsolis, Kristen Gregg, Heather Naval Postgraduate School (U.S.) Defense Analysis Approved for public release; distribution is unlimited In October 2007, a raid in the town of Sinjar, Iraq produced a large trove of foreign fighter personnel records. In the years since this discovery, researchers have used this data in an effort to illuminate the places from which recruits joined Al Qaeda and associated movements. While that research is important, it has placed little emphasis on the particular hometowns of these fighters. Thus, building upon social movement theory, environmental criminology, and geospatial analysis techniques, this research will build and test several spatial regression models of the factors potentially contributing to Al Qaeda recruitment patterns in North Africa. Moreover, this study also applies a new spatial crime analysis technique that maps risk terrain in a process using environmental factors to calculate the risk of recruitment. In all, these spatially integrated social science techniques hold great potential for improving intelligence support to ongoing contingency operations. 2012-03-14T17:43:41Z 2012-03-14T17:43:41Z 2010-12 Thesis http://hdl.handle.net/10945/4948 713362519 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, it may not be copyrighted. Monterey, California. Naval Postgraduate School |
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description |
Approved for public release; distribution is unlimited === In October 2007, a raid in the town of Sinjar, Iraq produced a large trove of foreign fighter personnel records. In the years since this discovery, researchers have used this data in an effort to illuminate the places from which recruits joined Al Qaeda and associated movements. While that research is important, it has placed little emphasis on the particular hometowns of these fighters. Thus, building upon social movement theory, environmental criminology, and geospatial analysis techniques, this research will build and test several spatial regression models of the factors potentially contributing to Al Qaeda recruitment patterns in North Africa. Moreover, this study also applies a new spatial crime analysis technique that maps risk terrain in a process using environmental factors to calculate the risk of recruitment. In all, these spatially integrated social science techniques hold great potential for improving intelligence support to ongoing contingency operations. |
author2 |
Everton, Sean |
author_facet |
Everton, Sean Rodriguez, Ismael R. |
author |
Rodriguez, Ismael R. |
spellingShingle |
Rodriguez, Ismael R. To the greatest lengths al Qaeda, proximity, and recruitment risk |
author_sort |
Rodriguez, Ismael R. |
title |
To the greatest lengths al Qaeda, proximity, and recruitment risk |
title_short |
To the greatest lengths al Qaeda, proximity, and recruitment risk |
title_full |
To the greatest lengths al Qaeda, proximity, and recruitment risk |
title_fullStr |
To the greatest lengths al Qaeda, proximity, and recruitment risk |
title_full_unstemmed |
To the greatest lengths al Qaeda, proximity, and recruitment risk |
title_sort |
to the greatest lengths al qaeda, proximity, and recruitment risk |
publisher |
Monterey, California. Naval Postgraduate School |
publishDate |
2012 |
url |
http://hdl.handle.net/10945/4948 |
work_keys_str_mv |
AT rodriguezismaelr tothegreatestlengthsalqaedaproximityandrecruitmentrisk |
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1716815965751083008 |