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Spatial Statistics 2023: Climate and the Environment

University of Colorado Boulder, USA
Organization: Elsevier
Categories: Science
Event Date: 2023-07-18 to 2023-07-21 Abstract Due: 2023-01-27

The conference will provide a forum to debate and discuss how to use spatially referenced data to advance our understanding and provide support for decision making in the domain of Earth system dynamics.

Conference Topics

We are accepting oral and poster abstracts on the topics listed below. They should be submitted using the online abstract submission system. Deadline 27 January 2023


  • Space-time statistics, e.g. geostatistics, point patterns, estimation methods, large dimensions
  • Spatial deep learning
  • Inverse modeling
  • Modeling of extremes
  • Stochastic geometry, tesselation, point processes, random sets
  • Causal statistical modeling
  • Trajectory/movement modeling



  • 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 and poverty mapping
  • Space/time econometrics
  • Interface of Neural Computing and Spatial/Spatio-Temporal Statistics
  • Inferring Movement and Behavior from Telemetry


Sophie Hayward