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

Environmental sustainability refers to the conservation and management of natural resources to match the needs of present ...

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 ...

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 ...