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</ref><ref name="moller2003statistical"> J. Moller and R. P. Waagepetersen. ''Statistical inference and simulation for spatial point processes''. CRC Press, 2003.
</ref><ref name="stoyan1995stochastic"/>, for example <math> \Phi</math>, and if
:<math> x\in \Phi, </math>
n
is used to denote that a random point <math> x</math> belongs to or is an [[Element (mathematics)|element]] of the point process <math> \Phi</math>. The theory of random sets can be applied to point processes owing to this interpretation. These two interpretations have resulted in a point process being written as:
:<math> \{x_1, x_2,\dots \}=\{x\}_i</math>,
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