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 ...

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 ...

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 ...

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 ...

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

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 ...

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

A new tool developed by Helmholtz Munich and the German Center for Diabetes Research and the University of Bonn makes spatial proteomics and lipidomics easier to use – no coding required. C-COMPASS ...