Gridded disaggregated population estimates for Kenya, version 2.0
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https://data.worldpop.org/repo/wopr/KEN/population/v2.0/
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These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the United Nations Children's Fund (UNICEF) - Population Modelling for use in Routine Health Planning and Monitoring project (contract no. 43335861). Projects partners included the Kenya Unicef Regional and Country Offices, WorldPop research group at the University of Southampton and the Center for International Earth Science Information Network in the Columbia Climate School at Columbia University. Assane Gadiaga (WorldPop) led the input processing and the modelling work following the Random Forest (RF)-based dasymetric mapping approach developed by Stevens et al. (2015). Thomas Abbott supported the covariates processing work. In-country engagements were done by David Kyalo, Olena Borkovska (GRID3 Inc), Maria Muniz (Unicef). Using the 2009 and 2019 census data from the Kenya’s National Bureau of Statistics (KNBS), the US Census Bureau released the census-based total population projections, population by age and sex and digital sub-counties boundaries. Duygu Cihan helped in the preparation of these input population data. Attila N Lazar, Edith Darin and Heather Chamberlain advised on the modelling procedure. The work was overseen by Attila N Lazar and Andy J Tatem.
本数据集由南安普顿大学世界人口研究小组(WorldPop Research Group)制作。本项目隶属于GRID3计划,由联合国儿童基金会(United Nations Children's Fund, UNICEF)资助的“用于常规卫生规划与监测的人口建模项目”(合同编号:43335861)支持,合作方包括联合国儿童基金会肯尼亚区域与国家办事处、南安普顿大学世界人口研究小组,以及哥伦比亚大学哥伦比亚气候学院国际地球科学信息网络中心。阿萨内·加迪亚加(Assane Gadiaga,世界人口研究小组)主导了数据输入处理与建模工作,其采用的是Stevens等人(2015)提出的基于随机森林(Random Forest, RF)的密度分区制图方法;托马斯·雅培(Thomas Abbott)协助完成了协变量处理工作。境内对接协调工作由戴维·基亚洛(David Kyalo)、奥列娜·博尔科夫斯卡(Olena Borkovska,GRID3公司)以及玛丽亚·穆尼兹(Maria Muniz,联合国儿童基金会)负责。借助肯尼亚国家统计局(Kenya’s National Bureau of Statistics, KNBS)公布的2009年与2019年人口普查数据,美国人口普查局发布了基于普查数据的总人口预测、分年龄性别人口数据以及数字化次级县边界数据。迪杜·吉汉(Duygu Cihan)协助完成了上述输入人口数据的整理工作。阿蒂拉·N·拉扎尔(Attila N Lazar)、伊迪丝·达林(Edith Darin)以及希瑟·张伯伦(Heather Chamberlain)为建模流程提供了咨询指导,本研究工作由阿蒂拉·N·拉扎尔与安迪·J·泰特姆(Andy J Tatem)负责监督。
提供机构:
University of Southampton
创建时间:
2023-07-13



