Spatial Statistics 2025: At the Dawn of AI
NH Leeuwenhoorst, Noordwijk, The Netherlands
Organization: Elsevier
We are accepting oral and poster abstracts on the topics listed below. They should be submitted using the online abstract submission system https://www.elsevier.com/events/conferences/all/spatial-statistics
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
https://www.elsevier.com/events/conferences/all/spatial-statistics
sophie.hayward1@btinternet.com
Sophie Hayward