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Spatial Statistics 2023: Climate and the Environment

18 - 21 July 2023 | University of Colorado, Boulder, USA

This conference is organised by Elsevier.

Welcome to the 6th Spatial Statistics conference, which will be held at the University of Colorado, Boulder, USA, from 18 - 21 July 2023 under the theme Climate and the Environment.

Our physical environment is dynamic, continuously evolving at many scales of time and space. Understanding the Earth’s climate system has become even more critical in recent decades with the realization that many parts of society and ecological systems are vulnerable to rapid change. The mechanisms for these changes need to be better understood because of the great consequences they have, for society and the environment well into this century and beyond.

Climate is the result of many diverse processes such as: local rainfall and temperature, land use and vegetation, or the global jetstream and ocean currents.  Weather that historically would be considered extreme is now more common, and the vulnerability of economies and infrastructure, particularly for developing countries, to large weather events make seasonal forecasting critical.  Effects on climate can come from variations in the Sun’s radiation, to human activities in transport and industry, deforestation and urban concentrations. The effects can be diverse: different patterns may emerge in epidemics, stresses can develop on local ecosystems, or sea levels can rise for coastal areas. These impacts have complex dynamics and feedbacks, have many uncertain components, and so require solid, statistically sound predictions for a wide variety of stakeholders. The field of spatial statistics has developed in recent years to address many of these challenging problems connected to the Earth system. This includes increasing attention on deep learning methods, applications of Bayesian methodology for large data volumes, extreme value theory, and the synthesis of spatial and temporal models for representing climate processes. The need for well grounded spatial and spatio-temporal statistics is huge, being the leading discipline to interpret observational data and also attach measures of uncertainty to conclusions and predictions.

This conference will focus on climate change dynamics, their causes, their effects and their future. The conference theme will be the perspective of the Earth as a unified system with connections and feedbacks between physical and biological spheres and also human activities.

Crucial developments in the methodology are in new scalable methods, spatio-temporal statistics, prediction and statistical aspects of modeling, like spatial and spatio-temporal extremes, attribution and forecasting.

Keynote and plenary talks from renowned speakers

The program will include invited plenary lectures, contributed talks and poster sessions highlighting the latest latest research in Spatial Statistics 2023: Climate and the Environment

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Sponsors & Exhibitors

Choose from a variety of sponsorship and commercial options to raise your profile and position your company as a thought leader in the community.

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The Spatial Statistics Society aims to create a community and network of scientists who are interested in the theory and application of spatial statistics in the widest sense, including all physical and social/economic domains. An ad-hoc committee consisting of the following members Alfred Stein, Edzer Pebesma, Kate Calder, Renato Assuncao, Benedikt Graler, and Denis Allard has been formed and has taken some preliminary first steps.

Do you want to be kept up to date on this new Spatial Statistics Society? If so, please visit our website(opens in new tab/window) to sign up to be a member

Spatial statistics society