Merging Remote Sensing Data and Population Surveys in Large , Empirical Multiagent Models : The Case of the Afghan Drug Industry
Merging Remote Sensing Data and Population Surveys in Large , Empirical Multiagent Models : The Case of the Afghan Drug Industry
复制标题
将遥感数据和人口调查合并到大型实证多主体模型中:阿富汗制药业的案例
DOI：
10.1596/1813-9450-4545
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
A. Geller
中科院分区：
文献类型：
--
作者：
S. M. M. Rizi;M. Latek;A. Geller
合法经济和非法经济之间的联系助长了陷入非正规战争的国家的冲突进程。然而，在战区收集人口和经济数据来阐明这种联系往往是不可行的。将遥感数据与当地调查相结合，提供了直接数据收集的另一种选择。我们提出并确认这一办法的实施，以恢复阿富汗农村人口的代理家庭代表性，在那里，罂粟种植和鸦片贩运对当前冲突的进程产生了重大影响。
Links between licit and illicit economies fuel processes of conflict in countries mired in irregular warfare. However, it is often infeasible to gather demographic and economic data in the war zone that illuminate such links. Combining remote sensing data with local surveys offers an alternative to direct data collection. We present and validate an implementation of such an approach in order to recover an agentized household representation of the rural population in Afghanistan where poppy cultivation and opium trafficking have influenced the course of the current conflict significantly.