Chuang Tian

TL;DR: The temporal and spatial variation in the high-quality development of China’s marine economy from 2006 to 2016 is explored utilizing the nuclear density estimation, entropy, and mean standard deviation classification methods to show a spatiotemporal differentiation.

TL;DR: In this paper , the authors used COVID-19 statistics and socioeconomic development data for various cities in China, combined with the Moran index and econometric models to analyse the spatial distribution of China's epidemic and civil aviation passenger throughput.

TL;DR: A panel threshold model is used to identify the response boundary of urban construction land use efficiency to government debt level for 51 postfinancial crisis Chinese coastal cities to provide a reference for a sustainable promotion of new urbanisation in both China and in other countries.

TL;DR: In this paper , the authors proposed a planning support system integrating the cellular automata Markov chain model and shared socioeconomic pathways (CA-Markov-SSPs) for predicting the changing of land use and land cover (LULC) at the local and system level by using a machine learning-driven, multi-source spatial data modelling framework.

TL;DR: Based on data from Chinese seafood restaurants, this article constructed a distance decay model to identify the spatial trends and changes in seafood availability at different geographical distances, and found that seafood availability has the characteristics of distance decay, with the best distance decay function to identify restaurants being the square exponential and exponential models (their spatial friction coefficients are −3.450e-7 and -0.002, respectively).