Initial pilot deployments are planned to launch with the Castanet networks in Las Vegas and Silicon Valley, leveraging a software-defined PNT architecture seamlessly integrated with 5G Broadcast and ...

Spatial data describe the locations, shapes and attributes of real‐world features in two or three dimensions. They may be represented as discrete objects—points, lines and polygons—or as continuous ...

Geospatial engineering combines principles of engineering, geography, and surveying to collect, analyze, and manage spatial data. Geospatial engineering involves surveying. Over time, the field of ...

Spatial transcriptomics analysis has become one of the most computationally intensive disciplines in modern life science research. Generating spatially resolved gene expression profiles is now within ...

In our data-rich world, here’s the most fascinating aspect of spatial analysis: The more complex the problem, the more multi-layered it is, the more powerful spatial analysis is. Understanding and ...

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 ...

These days we have a ton of geospatial data coming off the increasing numbers of satellites circling in our atmosphere, but it takes some serious processing power and engineering prowess to turn that ...

AI spatial data visualization is redefining how researchers interpret molecular patterns in tissue, surfacing biological structure that conventional tools cannot reach. Each spatial transcriptomics ...

Genevieve Carlton holds a Ph.D. in history from Northwestern University and earned tenure at the University of Louisville. Drawing on over 15 years of experience in higher education, Genevieve ...

Spatial data is any type of data that directly or indirectly references a specific geographical area or location. It is most commonly processed and analyzed by geographical information systems (GISes) ...