把时空异质性，转化为可解释的证据。

Song, C., Yang, X., Shi, X., Bo, Y., & Wang, J. Estimating Missing Values in China’s Official Socioeconomic Statistics Using Progressive Spatiotemporal Bayesian Hierarchical Modeling. Scientific Reports 8 (2018): 10055.

Song, C., He, Y., Bo, Y., Wang, J., Ren, Z., & Yang, H. Risk Assessment and Mapping of Hand, Foot, and Mouth Disease at the County Level in Mainland China Using Spatiotemporal Zero-Inflated Bayesian Hierarchical Models. IJERPH 15(7) (2018): 1476.

Song, C., Shi, X., Bo, Y., Wang, J., Wang, Y., & Huang, D. Exploring Spatiotemporal Nonstationary Effects of Climate Factors on Hand, Foot, and Mouth Disease Using Bayesian STVC Model in Sichuan, China. Science of the Total Environment 648 (2019): 550–560（2019 年 ESI 高被引论文）.

Yang, J., Song, C., Yang, Y., Xu, C., et al. New Method for Landslide Susceptibility Mapping Supported by Spatial Logistic Regression and Geodetector. Geomorphology 324 (2019): 62–71（2019 年 ESI 高被引论文）.

Song, C., He, Y., Bo, Y., Wang, J., Ren, Z., Guo, J., & Yang, H. Disease Relative Risk Downscaling Model to Localize Spatial Epidemiologic Indicators for Mapping Hand, Foot, and Mouth Disease over China. Stochastic Environmental Research and Risk Assessment (2019): 1–19.

Yang, Y., Yang, J., Xu, C., Xu, C., & Song, C. Local-scale Landslide Susceptibility Mapping Using the B-GeoSVC Model. Landslides 16(7) (2019): 1301–1312.

Song, C., Shi, X., & Wang, J. Spatiotemporally Varying Coefficients (STVC) Model: A Bayesian Local Regression to Detect Spatial and Temporal Nonstationarity in Variables Relationships. Annals of GIS 26(3) (2020): 277–291（年度最佳论文第一名；封面论文）.

Song, C., Wang, Y., Yang, X., Yang, Y., Tang, Z., Wang, X., & Pan, J. Spatial and Temporal Impacts of Socioeconomic and Environmental Factors on Healthcare Resources: A County-Level Bayesian Local Spatiotemporal Regression Modeling Study of Hospital Beds in Southwest China. IJERPH 17 (2020): 5890.

Zhang, X., Song, C., Wang, C., Yang, Y., Ren, Z., Xie, M., Tang, Z., & Tang, H. Socioeconomic and Environmental Impacts on Regional Tourism across Chinese Cities: A Spatiotemporal Heterogeneous Perspective. ISPRS IJGI 10(6) (2021): 410.

基于 GA-SVM 的滑坡地质灾害易发性评价系统 V1.0；著作权人：唐章英、宋超、赵晓明、刘川；登记号：2021SR1447927。

Song, C., Yin, H., Shi, X., Xie, M., Yang, S., Zhou, J., Wang, X., Tang, Z., Yang, Y., & Pan, J. Spatiotemporal Disparities in Regional Public Risk Perception of COVID-19 Using Bayesian STVC Series Models across Chinese Cities. International Journal of Disaster Risk Reduction 77 (2022): 103078.

Wan, Q., Tang, Z., Pan, J., Xie, M., Wang, S., Yin, H., Li, J., Liu, X., Yang, Y., & Song, C. Spatiotemporal Heterogeneity in Associations of National Population Ageing with Socioeconomic and Environmental Factors at the Global Scale. Journal of Cleaner Production 373 (2022): 133781.

一种探测突发公卫事件区域公众风险感知时空差异的方法；发明人：宋超、潘杰、解铭宇；专利号：ZL 2022 1 0217055.2；授权公告日：2023-06-06。

基于 STVCapp 模型的 R-Shiny Web 可视化建模系统 V1.0；著作权人：宋超、潘杰、唐章英；登记号：2023SR0879891。

Tang, Z., Sun, Q., Pan, J., Xie, M., Wang, Z., Lin, X., Wang, X., Zhang, Y., Xue, Q., Bo, Y., Wang, J., Liu, X., & Song, C. Air Pollution’s Numerical, Spatial, and Temporal Heterogeneous Impacts on Childhood Hand, Foot and Mouth Disease. BMC Public Health 24 (2024): 2825.

Song, C., Fang, L., Xie, M., Tang, Z., Zhang, Y., Tian, F., Wang, X., Lin, X., Liu, Q., Xu, S., & Pan, J. Revealing Spatiotemporal Inequalities, Hotspots, and Determinants in Healthcare Resource Distribution: Hospital Beds in 2308 Chinese Counties. BMC Public Health 24 (2024): 423.

Song, C., Wang, X., Ge, E., Shi, X., & Pan, J. Applications of Geospatial Information Technologies and Spatial Statistics in Health Services Research. Frontiers in Public Health 11 (2024): 1349985.

基于空间自相关的碳排放时空分析系统 V1.0；著作权人：唐先腾、唐章英、宋超；登记号：2024SR0857063。

Hao, M., et al. Spatiotemporal Patterns of Age at Menarche or Spermarche in Chinese Children and Adolescents and Socioeconomic and Environmental Determinants: Findings from a Series of Nation-Wide Surveys, 1995 to 2019. Environment & Health (2026).

Tang, Z., et al. A Long-term Consistent Socioeconomic Dataset of Chinese Cities Generated by Bayesian Spatiotemporal Modeling with Multi-source Earth Observations. Earth System Science Data Discussions (2026): 1–39.

陈爰睿、薛锦、唐欣怡、解修峰、赵芃、唐章英、王秀丽、宋超：《顾及不公平、地理集聚与关键因素的中国孕产妇保健服务多指标联合时空评价》，《现代预防医学》（2026）。

BSTVC Desktop 中文桌面版：将数据检查、模型运行、结果导出与使用支持整合为可视化工作流。

BSTVC-R、Desktop User Guide、案例数据、INLA Resource Monitor 与官方网站共同组成开放研究工具链。