anisotropic log gaussian cox processes using normal variance mixture covariance function

In this paper, we introduce a new family of anisotropic log gaussian cox processes (lgcps) that is useful to model spatial anisotropic point patterns that depict a degree of clustering. our idea lies in building a new family of anisotropic lgcp using the normal variance mixture covariance function. we describe the moment properties of our new model. finally, the estimation procedure is evaluated through a simulation study.