A dataset of GDP spatial distribution on the Qinghai-Tibet Plateau (2020)

Economic spatial distribution data is one of the important indicators for disaster loss assessment. The economy of the Qinghai Tibet Plateau region is relatively backward, and geological disasters occur frequently. Studying the impact of disasters in the region on the economy is of great significance. This study is based on the method of zoning and industry simulation, and establishes corresponding relationships between the GDP of the primary industry and land use types, DEM, village settlements, roads, and river buffer zones. After coupling the GDP of the secondary and tertiary industries with multiple information, spatial models are created for night lighting, building distribution, and interest point data in urban and county areas. Random forest is used to determine the weight of various indicators in the secondary and tertiary industries, calculate the grid value of GDP23, and finally superimpose GDP1 and GDP23 grids to build a 100 m Tibetan Plateau in 2020 × Spatial distribution map of GDP at 100 meters. Using municipal GDP statistical data for accuracy verification, the RMSE is 0.0388, indicating that the data can better reflect the spatial distribution of GDP in the Qinghai Tibet Plateau. This data can provide data support for disaster risk assessment, prevention and reduction in the Qinghai Tibet Plateau.