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  • Appendix A: Details on simulation of geometric anisotropic shot noise Cox processes.
  • Appendix B: Details on conditional simulation of the point process inline image.
  • Appendix C: Details on the estimation procedure based on first and second order properties.
    • C1: Estimation of the intensity function.
    • C2: Estimation of θ and ζ.
      • C2.1: Estimation procedures based on the pair correlation function.
      • C2.2: Estimation procedures based on the spectral density.
    • C3: Estimation of remaining parameters.
      • C3.1: Minimum contrast estimation based on the pair correlation function.
      • C3.2: Minimum contrast estimation based on the K-function.
    • C4: Simulation study and automatic estimation procedures.
      • C4.1: The inhomogeneous case.
  • Appendix D: Trace plots.
  • Figure 1: Plots for the procedure of estimating θ and ζ based on datasets 3–4.
  • Figure 2: Plots associated to method B and based on datasets 3–4.
  • Figure 3: Empirical distributions of the estimators when using method A and based on 200 simulations from each of the two log Gaussain Cox process models (corresponding to datasets 1–2) and the two shot noise Cox process models (corresponding to datasets 3–4).
  • Figure 4: Empirical distributions of the estimators when using method B and based on 200 simulations from each of the two shot noise Cox process models (corresponding to datasets 3-4).
  • Figure 5: Empirical distributions of the estimators when using method A and based on 200 simulations from each of the two inhomogeneous shot noise Cox process models (corresponding to datasets 5–6).
  • Figure 6: Trace plots for the parameters of the stationary Whittle–Matérn shot noise Cox process used for modelling the chapels dataset.
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