Abstract Marketing science models typically assume that responses of one entity (firm or consumer) are unrelated to responses of other entities. In contrast, models constructed using tools from ...

Multivariate spatial-statistical models are often used when modeling environmental and socio-demographic processes. The most commonly used models for multivariate spatial covariances assume both ...

Dealing with an autocorrelated response variable is a frequent problem in regression. Using R, it is easy to visualize and analyze this type of data using spatial statistics. We will discuss the meat ...

HANGZHOU, China, Aug. 27, 2025 /PRNewswire/ -- Manycore Tech, a global leader in 3D interior design technology and spatial computing, announced major advancements in its spatial AI model system with ...

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 ...