Bayesian spatial statistics and modeling represent a robust inferential framework where uncertainty in spatial processes is explicitly quantified through probability distributions. This approach ...

Awuh, M.E. (2026) Spatial Clustering Patterns of Thermal Extremes over Epochs in Douala, Littoral Region of Cameroon.

This course covers specialized methods and models that have been created for performing statistical analysis on spatial data. Students will learn basic statistical concepts and how to apply them to ...

Jeremy Goecks (left) is the Assistant Center Director for Research Informatics at the Moffitt Cancer Center (FL, USA), where he is also an Associate Faculty Member in the Department of Machine ...

Canada experiences a relatively large number of tornadoes, which can cause a significant amount of damage and fatalities. In this study, a preferred prediction model for the spatially varying tornado ...

The Spatial Justice Design Lab (SJDL) is an effort to use architecture and urban planning methods to deconstruct spatial injustices against racial minorities. This lab connects research on urban ...

Researchers have conducted the comprehensive review of recent advances in multimodal natural interaction techniques for ...

We investigate impact analysis and its asymptotic inference for spatial autoregressive models. We propose using the delta method, which enables us to obtain the dispersion in an explicit form. In ...

Université de Bordeaux-led research reports that spatial statistics can discriminate potential Paleolithic Artificial Memory Systems from butchery and art, aligning prehistoric marked objects with ...