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

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

Nature Research Intelligence Topics Topic summaries Information and Computing Sciences Applied Computing Spatial Data and Applications Spatial data now underpin a wide array of critical applications ...

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 ...

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

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 ...

Third, the AI industry itself will attempt to solve the spatial intelligence problem. Spatial intelligence is already a hot concept in the broader AI world. Companies such as NVIDIA and World Labs ...

What do environmental management, urban planning, public health and civil engineering all have in common? They use geospatial information science and technology to make important decisions. Geospatial ...

Helping clients manage spatial data from pre-design through facility operations with structured digital twin strategies Our role is to help clients plan for that future by defining how their data ...

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 ...

Introduction Spatial intelligence is increasingly influencing how commercial environments are designed, managed, and operated. As organisations look for more adaptive ways to optimise ...

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 ...