SPAT 2027: Spatial Statistics 2027: At the core of analytical intelligence

Spatial Statistics 2027: At the core of analytical intelligence Chinese Agricultural University East Campus, Beijing, China 22-25 July 2027

Join Spatial Statistics 2027 in Beijing, China, where we explore the exciting bridge between spatial statistics and analytical intelligence. In our data-driven era, observations from satellites, sensors, mobile devices, and healthcare systems are inherently spatial—yet decisions must be accurate, context-aware, and scientifically grounded. Spatial statistics provides rigorous methods to model spatial dependence, quantify uncertainty, detect real signals, and enable reliable prediction. The conference will bring together predictive modelling, AI/machine learning, digital twins, and real-time decision support, showing how robust statistical principles make advanced analytics interpretable, reproducible, and trustworthy.

Conference Deadlines Abstract Submission Deadline: 29 January 2027 Workshop Proposal Submission Deadline: 12th March 2027 Author Notification Deadline: 25 March 2027 Author Registration Deadline: 23 April 2027 Early bird Registration Deadline: 23 April 2027

Supporting publication Spatial Statistics Spatial and Spatio-temporal Epidemiology

Topics Covered: Methods Spatial & Space-Time Statistics · Space-time statistics: geostatistics, point patterns, estimation methods, large dimensions · Spatio/temporal modeling of points and objects · Discrete spatial variation & change-of-support problems · Spatial and spatio/temporal variability and dependence · Stochastic geometry, tessellation, point processes, random sets · Spatial non-stationarity, heterogeneity, and local modeling (e.g., GWR, MGWR) · 3D/4D spatial statistics and dynamic voxel analytics · Measurement error and spatial data quality

Spatial Sampling, Monitoring & Data Quality · Spatial sampling design and survey optimization · Long-term spatio-temporal monitoring and change detection · Uncertainty quantification and error propagation in spatial data · Multi-source spatial data fusion and downscaling · Statistical methods for remote sensing inversion and data processing

Temporal, Spatial, and Spatio-Temporal Causal Inference · Temporal, spatial, and spatio-temporal causal inference frameworks · Spatial econometric causal evaluation & quasi-experimental designs · Counterfactual spatio-temporal modeling · Causal discovery in complex spatio-temporal systems · Process-guided and physics-informed statistical inference

Predictive Modeling & Extremes · Predictive modelling · Modeling and predicting of extremes · Digital twins and spatial analytics · Hierarchical spatial models

Spatial Analytical Intelligence (GeoAI) & Machine Learning · Geospatial Artificial Intelligence (GeoAI) · Hybrid AI and statistical models · Spatial deep learning & Spatial machine learning · Spatial statistical learning · Reinforcement learning in spatial systems · Natural language processing for spatial challenges · Neural networks in space

Decision Support & Explainable Systems · Decision support systems · Explainable AI for spatial decision-making (XAI) · Spatial optimization and scenario simulation

Topics Covered: Applications Environment, Hazards & Resilience · Environmental risk assessment & eco-environmental toxicity · Natural hazard assessment, disaster risk reduction, and resilience · Climate extreme impacts and vulnerability modeling

Natural Resources, Energy & Carbon Dynamics · Carbon source/sink spatial accounting and "Double Carbon" goals · Mineral and geological resources estimation & 3D spatial modeling · Renewable energy potential (wind, solar) & spatial site selection · Natural resource accounting and ecosystem assets evaluation

Land Use, Agriculture & Cropland Protection · Land-use and land-cover change (LUCC) modeling & simulation · Cropland dynamic monitoring, quality evaluation, and yield estimation · Food security and agricultural production spatial analytics · Territorial space functional zoning and optimization · Land degradation, desertification, and restoration analytics

Forest, Grassland & Ecological Systems · Forest and grassland dynamics, biomass estimation, and canopy structure modeling · Grassland degradation, overgrazing assessment, and pastoral ecosystem health · Ecological restoration analytics (e.g., afforestation, returning farmland to forest/grassland) · Integrated analytics of terrestrial-ecological systems (mountain-river-forest-farmland-lake-grass-sand) · Ecological protection redlines and ecosystem service valuation · Wildfire prediction, forest disease/pest monitoring, and ecosystem risk

Water Resources, Atmosphere & Marine Systems · Eco-hydrology, watershed management, and water quality spatial modeling · Atmosphere, air quality mapping, and climate change modelling · Land-sea coordination and coastal zone spatial management · Physical oceanography & marine spatio-temporal statistics · Marine ecosystem health, fisheries, and polar ice sheet dynamics

Urban, Transport & Smart Cities · Smart cities & Sustainable urban development · Urban growth modelling & Urban heat island/microclimate · Transportation and mobility analytics & Traffic forecasting · Human mobility, spatio-temporal micro-behavior, and accessibility

Health & Environmental Epidemiology · Spatial epidemiology & Disease mapping · Infectious disease surveillance & Pandemic modelling · Public health analytics & Environmental health

Spatial Economics, Rural & Social Dynamics · Spatial econometrics and regional inequality · Rural revitalization, regional interaction, and spatial transformation · Demographic patterns, aging, and population mobility