  It is shown that max-stable random vectors in $[0,\infty)^d$ with unit
Fr\'echet marginals are in one to one correspondence with convex sets $K$ in
$[0,\infty)^d$ called max-zonoids. The max-zonoids can be characterised as sets
obtained as limits of Minkowski sums of cross-polytopes or, alternatively, as
the selection expectation of a random cross-polytope whose distribution is
controlled by the spectral measure of the max-stable random vector.
Furthermore, the cumulative distribution function $\Prob{\xi\leq x}$ of a
max-stable random vector $\xi$ with unit Fr\'echet marginals is determined by
the norm of the inverse to $x$, where all possible norms are given by the
support functions of max-zonoids. As an application, geometrical
interpretations of a number of well-known concepts from the theory of
multivariate extreme values and copulas are provided. The convex geometry
approach makes it possible to introduce new operations with max-stable random
vectors.
