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Non-parametric Intensity Estimation for Spatial Point Patterns with R

In: Flexible Nonparametric Curve Estimation

Author

Listed:
  • Jorge Mateu

    (University Jaume I, Department of Mathematics)

  • Mehdi Moradi

    (Umeå University, Department of Mathematics and Mathematical Statistics)

Abstract

We consider several cases where one needs to estimate the (first-order) intensity function for different spatial point patterns on some state spaces such as ℝ 2 $$\mathbb R^2$$ and linear networks. Furthermore, we consider spatial point patterns on irregular windows, replicated point patterns, time-ordered point patterns, and trajectories. The use of various kernel- and Voronoi-based intensity estimators in R is largely discussed through several applications, including wildfires, (street) crimes, active fires, mineral flotation, war data, and taxi movements.

Suggested Citation

  • Jorge Mateu & Mehdi Moradi, 2024. "Non-parametric Intensity Estimation for Spatial Point Patterns with R," Springer Books, in: Hassan Doosti (ed.), Flexible Nonparametric Curve Estimation, pages 113-151, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-66501-1_6
    DOI: 10.1007/978-3-031-66501-1_6
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