Senior Research Analyst, Policy Analysis Unit, AidData, College of William & Mary, Williamsburg, Virginia, USA.
Department of Political Science, Indiana University, Bloomington, Indiana, USA.
Sci Data. 2022 Mar 29;9(1):116. doi: 10.1038/s41597-022-01198-5.
In this study, we present Afro-Grid: an integrated, disaggregated 0.5-degree grid-month dataset on conflict, environmental stress, and socioeconomic features in Africa covering 1989-2020, intended to propel research on these issues forward. Afro-Grid offers several important extensions for researchers and policymakers, including: (i) standardizing (using established methods) data sources on conflict, environmental stress, and socio economic factors across spatial and temporal scales; (ii) combining these data into a single, openly-available file, maximizing the accessibility of these data for researchers and policymakers regardless of their software background; and (iii) including NDVI and dual-series harmonized night lights series that have traditionally not been accessible to researchers without advanced computational expertise. Using a series of comparative regressions at the grid-month and grid-year levels, combined with reporting descriptive statistics and visualizations, we illustrate that this temporally and geographically disaggregated dataset provides valuable extensions for research related to the climate-conflict nexus and the role of socioeconomic features in shaping conflict trends, as well as for research and data-driven policy on development and conflict.
在本研究中,我们提出了 Afro-Grid:一个集成的、分解的非洲 0.5 度格月数据集,涵盖了 1989-2020 年的冲突、环境压力和社会经济特征,旨在推动这些问题的研究。Afro-Grid 为研究人员和政策制定者提供了几个重要的扩展,包括:(i) 在空间和时间尺度上对冲突、环境压力和社会经济因素的数据源进行标准化(使用已建立的方法);(ii) 将这些数据组合到一个单一的、公开可用的文件中,最大限度地提高这些数据对研究人员和政策制定者的可访问性,无论他们的软件背景如何;(iii) 包括传统上没有先进计算专业知识的研究人员无法获得的 NDVI 和双系列协调夜间灯光系列。通过在网格月和网格年级别上进行一系列比较回归,结合报告描述性统计数据和可视化,我们说明了这个时间和地理上分解的数据集为与气候-冲突关系以及社会经济特征在塑造冲突趋势中的作用相关的研究提供了有价值的扩展,以及为发展和冲突方面的研究和数据驱动政策提供了扩展。