Space and Space-Time Modeling using Process Convolutions
- Cite this paper as:
- Higdon D. (2002) Space and Space-Time Modeling using Process Convolutions. In: Anderson C.W., Barnett V., Chatwin P.C., El-Shaarawi A.H. (eds) Quantitative Methods for Current Environmental Issues. Springer, London
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.