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

Named a CES 2026 Innovation Award Honoree, Greneta's new engine transforms massive industrial 3D assets into streamable ...

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 ...

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 ...

Debuting Next-Gen Robotics Powering Precise Indoor-Outdoor Navigation, Geomagnetic Mapping, and Real-Time Tracking ...

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...

This course covers specialized methods and models that have been created for performing statistical analysis on spatial data. Students will learn basic statistical concepts and how to apply them to ...

UVA doctoral student Musa Kazim Azimli uses spatial storytelling to reconstruct an Ottoman Empire slave market.

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 ...

Purdue University’s 100% online Master’s in Applied Geospatial Analytics program combines a world-class graduate degree in geospatial analysis with the convenience of online coursework. You will gain ...