  In this article, we introduce a L\'evy analogue of the spatially homogeneous
Gaussian noise of Dalang (1999), and we construct a stochastic integral with
respect to this noise. The spatial covariance of the noise is given by a
tempered measure $\mu$ on $\bR^d$, whose density is given by $|h|^2$ for a
complex-valued function $h$. Without assuming that the Fourier transform of
$\mu$ is a non-negative function, we identify a large class of integrands with
respect to this noise. As an application, we examine the linear stochastic heat
and wave equations driven by this type of noise.
