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2021
JUNE, 2021. Chao Song team’s paper titled “Socioeconomic and Environmental Impacts on Regional Tourism across Chinese Cities: A Spatiotemporal Heterogeneous Perspective” was published in ISPRS International Journal of Geo-Information (SCI, Q2, IF=3.099). This is the first research in China to explore the combined impacts of socioeconomic and environmental drivers on city-level tourism from a spatiotemporal heterogeneous perspective, achieved by using our proposed Bayesian STVC model.
Zhang, Xu, Chao Song, Chengwu Wang, Yili Yang, Zhoupeng Ren, Mingyu Xie, Zhangying Tang, and Honghu Tang. 2021. “Socioeconomic and Environmental Impacts on Regional Tourism across Chinese Cities: A Spatiotemporal Heterogeneous Perspective” ISPRS International Journal of Geo-Information 10, no. 6: 410. https://doi.org/10.3390/ijgi10060410
JUNE, 2021. NEWS of winning the best paper award. Chao Song’s paper “[Song C, Shi X, Wang J. Spatiotemporally Varying Coefficients (STVC) model: A Bayesian local regression to detect spatial and temporal nonstationarity in variables relationships[J]. Annals of GIS, 2020, 26(3): 277-291](https://www.tandfonline.com/doi/full/10.1080/19475683.2020.1782469)” has won 1st place in the best paper award evaluation for papers published in Annals of GIS in 2020.
Award Certificate: Paper “[Song C, Shi X, Wang J. Spatiotemporally Varying Coefficients (STVC) model: A Bayesian local regression to detect spatial and temporal nonstationarity in variables relationships[J]. Annals of GIS, 2020, 26(3): 277-291](https://www.tandfonline.com/doi/full/10.1080/19475683.2020.1782469)” has won 1st place in the best paper award evaluation for papers published in Annals of GIS in 2020.
Jan-June, 2021. Chao Song reviewed articles for journals IJGIS, IJGI, spatial statistics, and BMC public health.
April 2021. Chao Song (PI) was funded by the Fund for Introducing Talents of Sichuan University (Grant No. YJ202157). This three-year project will focus on further developing the Bayesian STVC series modeling technique and applying it in health economics.