  In this paper we introduce and study a new sequence of positive linear
operators acting on function spaces defined on a convex compact subset. Their
construction depends on a given Markov operator, a positive real number and a
sequence of probability Borel measures. By considering special cases of these
parameters for particular convex compact subsets we obtain the classical
Kantorovich operators defined in the one-dimensional and multidimensional
setting together with several of their wide-ranging generalizations scattered
in the literature. We investigate the approximation properties of these
operators by also providing several estimates of the rate of convergence.
Finally, the preservation of Lipschitz-continuity as well as of convexity are
discussed
