Morphological Informality Modelled Dataset in Nairobi, Kenya

This dataset represents the difference between planned and unplanned areas of the city as an indication of urban deprivation. Areas with higher levels of morphological informality 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.

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剥夺（urban deprivation）的表征指标。形态非正规化程度更高的区域，与贫困剥夺程度更严重的区域存在显著相关性。本数据集作为IDEAMAPS数据生态系统项目的成果之一，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号项目的资助。根据该基金会的资助条款，本提交成果可能衍生的作者接受稿版本，已被赋予知识共享署名4.0国际许可协议（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。