AfroGrid V1.0

Studies on the impact of environmental stressors on conflict have proliferated in recent years, but a consensus is slow to emerge, at least partly due to empirical limitations. In this study, we present Afro-Grid: an integrated, disaggregated 0.5 degree grid-month data on conflict, environmental stress, and socioeconomic features in Africa, 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 or 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 policy on development, politics, and economics broadly.

近年来，围绕环境胁迫因素对冲突影响的研究日益增多，但学界始终难以达成共识，这在一定程度上源于实证研究的局限性。本研究推出Afro-Grid数据集：一套针对非洲地区冲突、环境胁迫与社会经济特征的整合式细分0.5度格网-月度数据，旨在推动该领域相关研究的发展。

Afro-Grid可为研究人员与政策制定者提供多项重要拓展功能，具体包括：(i) 采用成熟方法，对不同时空尺度下的冲突、环境胁迫及社会经济因素相关数据源进行标准化处理；(ii) 将上述数据整合为单一的公开可获取文件，最大程度提升研究人员与政策制定者对这些数据的可及性，无论其具备何种软件技术背景；(iii) 纳入了归一化差分植被指数（NDVI，Normalized Difference Vegetation Index）与双序列协调夜间灯光数据——这类数据此前通常仅对掌握高级计算专业技能的研究人员开放。

本研究通过一系列格网-月度与格网-年度维度的对比回归分析，并结合描述性统计与可视化结果展示，证实这套按时间与空间细分的数据集，可为气候-冲突关联、社会经济特征对冲突趋势的塑造作用等相关研究，以及发展、政治与经济学等泛领域的研究与政策制定提供极具价值的拓展支撑。