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 ...

Researchers have developed two innovative tools to help us delve deeper into cell communication, offering spatial insight ...

UNG is launching its master's degree in spatial data and information sciences this fall, aiming to help students become leaders in integrative data analysis. Spatial data scientists analyze the ...

Université de Bordeaux-led research reports that spatial statistics can discriminate potential Paleolithic Artificial Memory Systems from butchery and art, aligning prehistoric marked objects with ...

Advancements in spatial proteomics enable detailed tissue mapping, linking protein localization to disease mechanisms and ...

Geospatial engineering combines principles of engineering, geography, and surveying to collect, analyze, and manage spatial data. Geospatial engineering involves surveying. Over time, the field of ...

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 ...

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 ...