  We consider a spatial functional linear regression, where a scalar response
is related to a square integrable spatial functional process. We use a
smoothing spline estimator for the functional slope parameter and establish a
finite sample bound for variance of this estimator under mixing spatial
dependence. Then, we give a bound of the prediction error. Finally, we
illustrate our results by simulations
