During the Spatial Statistics 2025 conference in Noordwijk, the Netherlands, specific attention will be given to the opportunities, including challenges to be addressed, that Artificial Intelligence (AI) opens up and how spatial statistics can be developed further with AI.

The latest developments in spatial statistics will be presented, emphasising their contributions at the dawn of AI, now and in the future. The optimal use of collected data, predicting in space and time, object recognition and segmentation, and transferability in the presence of spatial and temporal correlations are typical, but not exhaustive examples.

Conference topics
We are accepting oral and poster abstracts on the topics listed below. They should be submitted using the online abstract submission system: https://auth.oxfordabstracts.com/?redirect=/stages/76211/submitter

Deadline: 24 January 2025

Methods
• Spatial deep learning
• Spatial statistical learning
• Neural networks in space
• Large language models in space
• Natural language processing for spatial challenges
• Spatio/temporal modeling of points and objects
• Causality in space and time
• Modeling and predicting of extremes
• Space-time statistics: geostatistics, point patterns, estimation methods, large dimensions
• Discrete spatial variation
• Spatial and spatio/temporal variability and dependence
• Stochastic geometry, tessellation, point processes, random sets


Applications
• Environment: soil, water, atmosphere
• Interface of neural computing and spatial/spatio-temporal statistics
• Climate system modeling and observations
• Health e.g. epidemiology, geohealth and global health
• Spatially-explicit ecological models
• Plant and animal epidemiology
• Quantifying the spatial extent of hazards and risk
• Crime, poverty, liveability mapping