SVAC Geocoded

The dataset svac_geocoded contains select variables from SVAC version 1.0 by Dara Kay Cohen and Ragnhild Nordås (2014), and is filtered to observations of rebel actors (coded as actor_type 3 in SVAC) in Africa where sexual violence was recorded in the ai_prev, hrw_prev or state_prev variables. It also contains several new variables coded by the author using the SVAC variables. These variables are: location_specific, sv_location, sv_nonspecific, and sv_dummy. The variable SV_dummy is the aggregated prevalence measure by which these observations were filtered, assuming a value of 1 if any of the aforementioned prevalence measures records any level of sexual violence for a rebel actor - year. It has a value of 1 for all observations in the dataset. The variable location_specific assumes a value of 1 if the variable location_text for an observation in SVAC 1.0 specifies one or several locations in which sexual violence occurred that could be conntected to one or several first order admin units. All identifiable admin units are listed and each original observation was duplicated once for every admin unit. The variable sv_location contains the admin unit names. Accordingly, the dataset has a admin unit - year structure, unlike SVAC 1.0 which has an actor - year structure. The variable sv_nonspecific assumes a value of 1 if there were locations in the location_text variable that could not be tied to a specific admin unit.本数据集svac_geocoded 提取自Dara Kay Cohen与Ragnhild Nordås（2014）发布的SVAC 1.0版中的部分变量，经筛选后仅保留非洲地区、在ai_prev、hrw_prev或state_prev变量中记录有性暴力事件的反叛行动者（在SVAC中编码为actor_type 3）观测样本。本数据集同时包含作者基于SVAC变量自行编码的若干新变量，具体为：location_specific、sv_location、sv_nonspecific及sv_dummy。变量sv_dummy为本次筛选观测样本所采用的聚合性暴力发生率指标：若某反叛行动者-年度样本的前述任一发生率指标存在任意等级的性暴力记录，则该变量取值为1，且本数据集内所有观测样本的该变量取值均为1。变量location_specific的取值为1，当且仅当SVAC 1.0中某观测样本的location_text变量明确指明了一处或多处性暴力发生地点，且这些地点可对应至一处或多处一级行政单元。本数据集将所有可识别的行政单元逐一列出，且原始观测样本将针对每个匹配的行政单元各复制一次。变量sv_location用于存储行政单元名称。由此，本数据集采用行政单元-年度结构，与采用行动者-年度结构的SVAC 1.0有所区别。变量sv_nonspecific的取值为1，当location_text变量中存在无法对应至任一特定行政单元的性暴力发生地点。

搜集汇总

背景与挑战

背景概述

SVAC Geocoded数据集基于SVAC 1.0，专注于非洲反叛行为者中性暴力事件的记录，并新增了地理编码变量以实现行政单位-年份级别的分析。数据集通过location_specific和sv_location变量将性暴力事件关联到具体行政单位，改变了原始的行为者-年份结构，同时sv_nonspecific变量处理了无法精确定位的地点，SV_dummy变量则统一标记了所有观察值存在性暴力，为研究提供了更精细的空间分析框架。