Spatial data now underpin a wide array of critical applications from environmental monitoring and urban planning to public health management and resource allocation. Advances in geospatial ...

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

Don Murray is cofounder of Safe Software and has spent his career helping organizations bring life to data to make better decisions. The world we live in is spatial. Think about how many times you use ...

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 ...

UNG is launching its master's degree in spatial data and information sciences this fall, aiming to help students become leaders in integrative data analysis. Spatial data scientists analyze the ...

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 ...

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 ...

Following the deal, Pathr.ai founder and CEO George Shaw will join Standard AI, along with several members of the Pathr.ai ...

Explore five powerful alternatives to Maptitude for spatial analysis. Discover tools that enhance your data visualization and ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

A series of announcements in recent weeks shows just how much the spatial biology field has matured in the years since Nature Methods recognized spatial biology—which it called spatially resolved ...