Health · Geography · Space · Time · Model
Understanding health in space and time.
I develop Bayesian spatiotemporal models and open-source software to understand the distribution and dynamics of health outcomes across space and time.
Chao Song / 宋超BSTVC· Health & Medical Geography
Latest News
View all newsBlogsCan a Model Travel to a New Region?BlogsA Close Fit Is Not Yet a ForecastNewsSpatiotemporal Interpretability: BSTVC Desktop V2 Is HereBlogsWhat Does Leaving One Observation Out Actually Test?BlogsSTVPI, Bayesian R² and Predictive Accuracy: Keep the Labels SeparateBlogsWhy the Residual Belongs in the Conversation
BSTVC Ecosystem
Open-source R tools and methods for Bayesian spatiotemporal modeling and spatial epidemiology.
Research Areas
Health geography, spatial epidemiology, Bayesian modeling, and uncertainty quantification.
Publications
Peer-reviewed methodological contributions, applications, and interdisciplinary collaborations.
Resources
Research data, software, documentation, cases, and materials for learning and reuse.
Blogs
Long-form research notes, science communication, methods, and reflections.
Global PerspectiveUnderstanding health across places and populations.
Methodological RigorBayesian statistics for complex spatiotemporal data.
Open ScienceOpen-source tools for reproducible research.
InterdisciplinaryBridging geography, statistics, computing, and health.
ImpactTurning data into insight for better health outcomes.