Spatial data now underpin a wide array of critical applications from environmental monitoring and urban planning to public health management and resource allocation. Advances in geospatial ...

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. How many times a day do you think about the word "where"? It likely ...

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 ...

The Spatial Analysis Lab (the SAL) is a mapping lab dedicated to thoughtful and creative spatial data collection, analysis, and visualization. We strive to promote spatial literacy and spatial justice ...

Housed at the Geography Department’s research ecosystem is the Geospatial Human-Centered Artificial Intelligence (GeoHAI) Lab, where innovation in spatial data science meets urgent societal needs.

Designed as an integrated solution, CityMapper-3 combines the latest camera and Lidar technologies to streamline data acquisition while reducing the number of flights required to meet demanding ...

Hempton Co., Ltd., a spatial data specialist, announced on the 27th that it has signed a strategic partnership (MOU) with ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Advancements to include CosMx® Whole Transcriptome Panel; enhanced technology engine to power CellScape™ for spatial proteomics; expansion to 1000-plex protein assay on GeoMx® DSP; and launch of ...