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

Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease ...

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 ...

SAP AG and Esri, a geographic information system (GIS) and location analytics provider, are joining forces to more deeply integrate GIS solutions with platforms and enterprise applications from SAP in ...

Spatial biology is the study of the spatial organization of biological systems. It has immense clinical applications in disease diagnosis and treatment. By analyzing the spatial arrangement of cells ...

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 ...