Multiple Linear Regression with Spatial Data
Multiple linear regression is a time-tested and powerful tool for inferring relationships in multivariate data. However, when the observations are associated with spatial locations, the independence assumption is often not appropriate. This workshop will motivate the use of models with spatially correlated residuals and provide hands on experience fitting and interpreting models in the R programming language.
Fee: None to members of the Cornell community, but registration is required. Since space is limited, early registration is encouraged.
For times and locations of upcoming workshops, please see the Workshop Schedule.