Morphological Informality Modelled Dataset in Kisumu, 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.

本数据集通过对比城市规划区域与未规划区域的差异，以此表征城市贫困程度。城市形态非正式性水平更高的区域，往往对应贫困程度更深的区域。本数据集系IDEAMAPS数据生态系统（IDEAMAPS Data Ecosystem）项目的产出成果，整体或部分受比尔及梅琳达·盖茨基金会（Bill & Melinda Gates Foundation）资助，资助编号为INV-045252。根据该基金会的资助条款，本次提交可能产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结果与结论仅代表作者个人观点，未必反映比尔及梅琳达·盖茨基金会的立场或政策。