In this paper we review techniques for estimating the intensity function of a spatial point process. We present a unified framework of mass preserving general weight function estimators that encompasses both kernel and tessellation based estimators. We give explicit expressions for the first two moments of these estimators in terms of their product densities, and pay special attention to Poisson processes
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Springer
Methodology and Computing in Applied Probability
Stochastics

van Lieshout, M.-C. (2012). On estimation of the intensity function of a point process. Methodology and Computing in Applied Probability, 14(3), 567–578.