Does any one have a good tutorial , introduction or overview on the web for different ways of representing financial data as a spatial process? Such as those spatial processes often used in geo-statistics.
EDIT
What I am looking for is going from financial time series data to fit the following general framework for spatial processes
let $s \in \Re$ be a generic data location in $d$-dimensional Euclidian space and suppose the potential datnum $Z(s)$ at spatial location $s$ is a random quantity. Let $D$ be a random set. Now let $s$ vary over index $D \subset \Re^d$ so as to generate a multivariate field or process:
$\qquad \qquad \qquad \qquad \qquad \qquad \qquad \{ Z(s):\in D \}; $
This may also be more commonly referred to as a random field
