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 ...
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 ...
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 ...
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 ...
Our nation must continually address a wide range of complex economic, social, and environmental issues. Geospatial information, together with related computer systems, is pivotal to helping ...
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...
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 ...
Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located. However, the rapid growth of the technology has come at the cost of ...
The Whole Transcriptome Panel for Bruker’s CosMx Spatial Molecular Imager (SMI) represents a breakthrough in spatial biology. With the ability to detect and quantify over 18,000 RNA transcripts at ...
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