Statistical Models for Spatial Structure in Climate Simulations and Data
The interest in the regional effects of climate change has motivated the analysis of large spatial and space-time data that are the result of numerical models. Typically the model output involves grids of several thousand points and standard methods of spatial statistics break when applied to these large data sets. This talk will present a flexible spatial model based on fixed rank Kriging that can handle a large number of spatial locations and also include nonstationary spatial dependence. This is feasible using... Read more about StatClimatol: Doug Nychka