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

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

Spatial data processing and query algorithms underpin a critical component of modern geospatial analysis, enabling efficient handling and interrogation of vast and complex datasets. Contemporary ...

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 ...

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 ...

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

Startup inspiration can strike anywhere. But for Atlas.co*, a freemium browser-based, real-time mapping tool that’s being built by an Oslo, Norway-based team of (initially student) engineers, the ...

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 ...