Dan Liu

Sun Yat-Sen University | SYSU · School of Geography and Planning

Long-term poverty data can support accurate decision-making. This study demonstrates an accurate and reliable method for identifying poverty areas and predicting poverty incidence based on night time light remote-sensing data and machine learning methods. Using data of poverty counties and poverty incidence in Guizhou Province of China as the train...

In this paper, we study the characteristics of the spatial–temporal pattern of land used for transportation at the county level since the implementation of the reform and opening-up policy in China and discuss the factors that influence the spatial differences between lands used for transportation in order to provide a reference for the formulation...

The impact of settlements isolation and land-use changes on poverty is often overlooked. This study explored the spatial pattern and impact of settlements isolation and land use changes on poverty in Guizhou, a mountainous province of China, based on a Pearson correlation analysis and geographically weighted regression (GWR). The results showed tha...

Based on geographic information system (GIS) spatial analysis technology, the spatial pattern of raster grid transport accessibility for the Guangdong-Hong Kong-Macao Greater Bay area was studied and the states of spatial connectedness were simulated using highway passenger transport, railway passenger transport, port passenger transport and aviati...