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

Background: Epidemiologic studies of air pollution have demonstrated a link between long-term air pollution exposures and mortality. However, many have been limited to city-specific average pollution ...

The Annals of Applied Statistics, Vol. 2, No. 4 (Dec., 2008), pp. 1148-1169 (22 pages) Gridded estimated rainfall intensity values at very high spatial and temporal resolution levels are needed as ...

The interaction between food systems and spatial planning has become a critical area of research, driven by the urgent need ...

BROOMFIELD, Colo.--(BUSINESS WIRE)--Spatial Corp, the leading provider of 3D software development toolkits for design, manufacturing, and engineering solutions, and a subsidiary of Dassault Systèmes, ...

The report highlights a growing consensus that AI marks a profound epistemic shift. Rather than acting as neutral computational instruments, AI systems define what is knowable, predictable and ...

IEEE Spatial Web chair George Percivall explains how the recently-approved IEEE P2874 Spatial Web Standard complements existing Web and digital twins’ standards to guide the development of ...

Throughout recorded history, human society has lived with periodic epidemics and pandemics. Numerous disease outbreaks have led to death, societal upheaval, and economic disruption. Predicting how an ...

The Greater Amman Municipality (GAM) launched on Sunday an intensive training program on the Cities Spatial Model, in cooperation with the International Growth Center (IGC), at the London School of ...