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

Spatial statistics is a rapidly evolving discipline that blends rigorous statistical methodologies with geospatial data analysis to uncover and interpret spatial patterns and dependencies. This field ...

Don Murray is cofounder of Safe Software and has spent his career helping organizations bring life to data to make better decisions. How many times a day do you think about the word "where"? It likely ...

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

Housed at the Geography Department’s research ecosystem is the Geospatial Human-Centered Artificial Intelligence (GeoHAI) Lab, where innovation in spatial data science meets urgent societal needs.

Where did the coronavirus first emerge to infect the entire globe as a pandemic? In 2022, a study by 17 authors led by Canadian scientist Michael Worobey came up with a clear answer. The Huanan ...

Built on 15 years of geospatial infrastructure expertise, the Spatineo Descovery streamlines spatial data discovery and ...

Image analysis and computer vision / Donald Geman and Basilis Gidas -- Oceanographic and atmospheric applications of spatial statistics and digital image analysis / James J. Simpson -- Spatial ...

Location data is critical to nearly all state and local government work — whether it’s responding to a public safety call, supporting community planning and development, or maintaining critical ...

This research analyzes the impact of extreme degrees of gentrification on neighborhood demographics in US cities, from 1990 to 2020. Using geographic information science (GIS) and spatial statistics, ...