Data for A spatio-temporal framework for a location centric response to COVID-19 risk management with social sensitivity

This zipped data file contains R formatted Data and Meta-data used in the research project titled: "A spatio-temporal framework for a location centric response to COVID-19 risk management with social sensitivity".
the file is organized in two sub-folders:
*The first folder named "Econometric Estimation data and Codes" contains all data for the implemented econometric model estimations, along with the numerical descriptive statistics.
*The second folder named "Indices Data and Spatial Visualization Codes" contains the data for creating the two novel indices capturing society's preferences for Covid-19 risk mitigation measures across various sub-national jurisdictions and overtime; along with spatial meta-data for their mapping and visualization.

本压缩数据文件包含用于题为《面向COVID-19风险管理的、以地域为中心且兼顾社会敏感性的时空框架》研究项目的R格式数据与元数据。该压缩包设有两个子文件夹：
- 首个文件夹命名为「计量经济学估计数据与代码」，内含用于执行计量模型估计的全部数据及数值描述性统计结果；
- 第二个文件夹命名为「指数数据与空间可视化代码」，内含用于构建两项新型指数的相关数据——该指数可捕捉不同次国家行政辖区与不同时段内，社会对COVID-19疫情风险防控措施的偏好，同时附带用于指数绘图与可视化的空间元数据。