Space and Space-Time Modeling using Process Convolutions

  • Dave Higdon


A continuous spatial model can be constructed by convolving a very simple, perhaps independent, process with a kernel or point spread function. This approach for constructing a spatial process offers a number of advantages over specification through a spatial covariogram. In particular, this process convolution specification leads to computational simplifications and easily extends beyond simple stationary models. This paper uses process convolution models to build space and space-time models that are flexible and able to accommodate large amounts of data. Data from environmental monitoring is considered.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag London Limited 2002

Authors and Affiliations

  • Dave Higdon
    • 1
  1. 1.Institute of Statistics and Decision SciencesDuke UniversityDurhamUSA

Personalised recommendations