Road Access Deprivation Modelled Dataset in Abuja, Nigeria

This dataset represents the difference between planned and unplanned areas of the city as an indication of urban deprivation. Areas with higher levels of road access deprivation are related to more deprived areas.Produced as part of the IDEAMAPS Data Ecosystem project, the work was supported, in whole or in part, by the Bill & Melinda Gates Foundation INV-045252. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. The findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the Bill & Melinda Gates Foundation.Computational resources for this work were provided by the Geospatial Computing Platform at the Center of Expertise in Big Geodata Science (CRIB), Faculty ITC, University of Twente. The authors thank the CRIB staff for maintaining the infrastructure and supporting scientific computing activities.本数据集以城市规划区域与非规划区域的差值作为城市贫困程度的表征指标。道路通行可达性贫困程度更高的区域，往往对应社会经济条件更匮乏的地区。 本数据集作为IDEAMAPS数据生态系统（IDEAMAPS Data Ecosystem）项目的产出之一，其研究工作全部或部分获得了比尔及梅琳达·盖茨基金会（Bill & Melinda Gates Foundation）INV-045252号资助项目的支持。根据该基金会的资助条款，本投稿可能产生的作者定稿版本已被授予知识共享署名4.0通用许可协议（Creative Commons Attribution 4.0 Generic License）。本数据集所载的研究发现与结论仅代表作者个人观点，未必反映比尔及梅琳达·盖茨基金会的立场与政策。 本研究的计算资源由特文特大学（University of Twente）ITC学院大型地理数据科学专家中心（Center of Expertise in Big Geodata Science, 简称CRIB）的地理空间计算平台提供。作者谨此感谢CRIB团队成员对平台基础设施的维护与科学计算活动的支持。