Meta-population models have been extensively studied theoretically in ecological research. In this talk, I revisit this classical meta-population modeling in terms of stochastic point pattern dynamics. A collection of local sites that are spatially distributed (complete spatial randomness, clumped, or over-dispersed, whatever) is assumed and each site is either vacant or occupied by a certain biological species. Colonization to a vacant site occurs with a colonization rate as a function of the distance from an occupied site to the vacant site in focus. An occupied site becomes vacant with a local extinction rate. Stochastic simulation analysis is done and an analytical model is constructed to describe the stochastic point pattern dynamics. Despite the complexity of the analytical model, spatial distributions of vacant and occupied sites at equilibrium can be analytically derived with a certain technique. Application to spatial meta-population data will be discussed.