全球未来城市扩展过程数据集（2020-2070）V1.0

本数据集来源于论文：He, C., Liu, Z., Wu, J., Pan, X., Fang, Z., Li, J., Bryan., B.A. (2021). Future global urban water scarcity and potential solutions. Nature Communications, 12, 4667。本数据集包括2020-2070年全球不同共享社会经济路径下的城市建成区信息。本数据集的制作流程主要包括：（1）基于全球1992-2016年城市建成区数据（下载地址：https://doi.pangaea.de/10.1594/PANGAEA.892684）和城市人口数据建立线性回归模型，计算未来城市建成区的数量需求；（2）使用LUSD-urban模型模拟未来城市建成区的空间格局。该数据集能够为评估全球未来城市扩展过程的影响提供数据支撑。

This dataset is sourced from the paper: He, C., Liu, Z., Wu, J., Pan, X., Fang, Z., Li, J., Bryan, B.A. (2021). Future global urban water scarcity and potential solutions. *Nature Communications*, 12, 4667. This dataset includes data on global urban built-up areas under different Shared Socioeconomic Pathways (SSPs) from 2020 to 2070. The production workflow of this dataset mainly includes: (1) Establishing a linear regression model based on global urban built-up area data (download link: https://doi.pangaea.de/10.1594/PANGAEA.892684) and urban population data from 1992 to 2016 to calculate the quantitative demand for future urban built-up areas; (2) Using the LUSD-urban model to simulate the spatial pattern of future urban built-up areas. This dataset can provide data support for assessing the impacts of global future urban expansion processes.

搜集汇总

背景与挑战

背景概述

该数据集包含2020-2070年全球不同共享社会经济路径下的城市建成区信息，时间分辨率为1-10年，空间分辨率为100m-1km。数据基于历史城市建成区和人口数据建立模型，模拟未来城市扩展过程，适用于评估全球城市化影响。