Spatial data analysis addresses the measurement, modelling and interpretation of phenomena that vary across geographic space. Central to this endeavour is the selection of areal units—the discrete ...

Spatial autocorrelation describes the degree to which observations of ecological variables are correlated in space. When nearby locations exhibit similar species abundances, environmental measurements ...

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 ...

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 ...

The Spatial Analysis Lab (the SAL) is a mapping lab dedicated to thoughtful and creative spatial data collection, analysis, and visualization. We strive to promote spatial literacy and spatial justice ...

Researchers at the Icahn School of Medicine at Mount Sinai in New York, Boston Medical Center, and Boston University Chobanian & Avedisian School of Medicine, have developed a software platform to ...

A team of Vanderbilt researchers has released a new benchmarking study that aims to assist scientists in selecting the most effective methods for analyzing spatial transcriptomics (ST) data. ST ...