On the second-order characteristics of marked point processes

68 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Geostatistical inference under preferential sampling (2010, background): “In general, the implicit estimand of the empirical variogram is the variance of Y.x/ − Y.x # / conditional on both x and x # belonging to X , which under preferential sampling differs from the unconditional variance; see, for example, Wälder and Stoyan (1996) or Schlather (2001).”
Modern Statistics for Spatial Point Processes * (2007, background): “The process ={(u, mu) : u ∈ X} is called a marked point process, and indeed marked point processes are important for many applications; see Stoyan & Stoyan (1995), Stoyan & Wälder (2000), Schlather et al. (2004), Schlather (2001), Møller & Waagepetersen (2003b).”
Understanding the dynamics of an undisturbed tropical rain forest from the spatial pattern of trees (2009, background): “They have counterparts that include information on the marks (Stoyan & Penttinen 2000; Schlather 2001; Parrott & Lange 2004).”
Statistical Inference and Simulation for Spatial Point Processes (2003, unknown): “Summary statistics for marked point processes other than multitype point processes are studied in Stoyan & Stoyan (1994), Schlather (2001), and the references therein.”