GloPPRUA-Global Harmonized Urban Definition

This data is the global urban boundary of 222 scenarios combined by different population data sets, population density and population size thresholds, and the GIS model builder for calculating these data. See the README file for details.Reference：Li, W., Zhang, Y., Li, M., &amp; Long, Y. (2024). Rethinking the country-level percentage of population residing in urban area with a global harmonized urban definition. iScience, 27(6), 110125. https://doi.org/10.1016/j.isci.2024.110125.The UN (United Nations) collects global data on the country-level Percentage of Population Residing in Urban Area (PPRUA); however, variations in definitions of urban areas make these data incomparable across countries. This paper evaluates the numbers of national defined PPRUA within UN statistics, by comparing them with the numbers of PPRUA we estimated through global comparable definitions. Refer to the Degree of Urbanization framework from the UN, we propose 90 global harmonized methods to estimating PPRUA by combining different configurations of three global population datasets, six urban total population thresholds, and five urban population density thresholds. This approach demonstrated significant variations in country-level PPRUA estimations, with a wide 95% confidence interval (CI) range. When comparing the national defined PPRUA with the global harmonized estimations, we found that most lie between the upper 95% CI and the median of the estimations. This study highlights the need for globally harmonious PPRUA estimates, calling for a reassessment of datasets and thresholds in the future and investigating urbanization on a scale beyond the country level.<br>

本数据集涵盖222种情景下的全球城市边界，这些情景由不同人口数据集、人口密度与人口规模阈值组合构建而成，同时附带用于计算此类数据的地理信息系统（Geographic Information System, 简称GIS）模型构建工具。详细信息请参阅README文件。
参考文献：Li W、Zhang Y、Li M、Long Y（2024）。《基于全球统一城市定义重新审视国家层面城镇人口占比》。iScience, 27(6), 110125. https://doi.org/10.1016/j.isci.2024.110125。
联合国（United Nations）收集了全球国家层面城镇人口占比（Percentage of Population Residing in Urban Area, 缩写PPRUA）数据，但由于各国对城市区域的定义存在差异，这些数据在跨国间不具备可比性。本研究通过将联合国统计数据中各国官方定义的PPRUA数值，与我们基于全球可比定义估算得到的PPRUA数值进行对比，对其展开评估。本研究参考联合国《城市化程度框架》（Degree of Urbanization framework），通过组合3套全球人口数据集、6项城镇总人口阈值与5项城镇人口密度阈值的不同配置方案，提出了90种可实现全球统一标准的PPRUA估算方法。该方法显示国家层面PPRUA的估算结果存在显著差异，95%置信区间（confidence interval, CI）跨度极大。将各国官方定义的PPRUA与全球统一标准估算结果进行对比后发现，多数官方数值落在估算结果的95%置信区间上限与中位数之间。本研究强调了获取全球统一标准PPRUA估算结果的必要性，呼吁未来对人口数据集与阈值开展重新评估，并推动超越国家层面的城市化尺度研究。

搜集汇总

背景与挑战

背景概述

该数据集提供了全球222种不同场景下的城市边界数据，结合了不同的人口数据集、人口密度和人口规模阈值，并包含用于计算的GIS模型构建器。其目的是通过全球可比的定义评估国家定义的城市人口比例（PPRUA），并提出了90种全球统一的方法来进行估计。