The paper defines inhomogeneous mark correlation and mark variogram estimators that divide by the spatial intensity, and shows they detect mark association and variation in nonstationary point patterns better than homogeneous versions.
marked spatial point processes: Current state and extensions to point processes on linear networks
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Inhomogeneous mark correlation functions for general marked point processes
The paper defines inhomogeneous mark correlation and mark variogram estimators that divide by the spatial intensity, and shows they detect mark association and variation in nonstationary point patterns better than homogeneous versions.