全球高分辨率实际GDP栅格数据的核算方法来自：Chen, J., Gao, M., Cheng, S. et al. Global 1 km × 1 km gridded revised real gross domestic product and electricity consumption during 1992–2019 based on calibrated nighttime light data. Sci Data 9, 202 (2022). https://doi.org/10.1038/s41597-022-01322-5。采用了175个国家的GDP数据，夜光数据来自：Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) and National Polar-Orbiting Partnership s Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) images，估算了全球1km乘以1km分辨率的实际GDP数据。ovr文件可以用Arcgis软件打开，在匹配不同空间尺度行政区域的前提下，能够得到各国家、城市、区县级别的实际GDP估算值。具体方法如下：Nighttime light data has been employed extensively in revision of official national GDP growth data. Based on the approaches, the revised growth estimate is a composite with different weights of conventionally measured growth and growth predicted from nighttime light data. Considering the approaches of such studies, we employed nighttime light data to revise the real GDP growth rate. And the ratio of signal to total variance in official GDP growth for countries with good quality of statistics was estimated. Next, based on the gridded real GDP growth rate during 1993–2019, the gridded GDP data in 1992 or 2019 were estimated as basic values to obtain the gridded real GDP data in other years. Finally, the gridded real GDP based on the real growth rate can be calculated.

本中心在上述栅格数据的基础上，用Arcgis软件和空间统计方法，分中国地级市、区县级两个地理维度将实际GDP估算数据进行加总，得到“中国地级市、区县级高分辨率实际GDP估算值（1992-2019年）”。需要说明的是，此高分辨率数据与经济普查得到的统计数据不同，存在一定的误差，请研究工作者根据实际需要，谨慎使用。如对此数据有疑问或建议，请联系本中心：sssdata@bnu.edu.cn。

关于Arcgis的基本使用方法，请参考本中心举办的培训视频：http://gofile.me/6W4h7/kW3dJVBdH 。

地级市、区县级数据格式展示