1 citations · 1 across the 4 of their papers we have counts for
4 papers
Semi-parametric profile pseudolikelihood via local summary statistics for spatial point pattern intensity estimation
Nicoletta D'Angelo, Giada Adelfio, Jorge Mateu +1
Second-order statistics play a crucial role in analysing point processes. Previous research has specifically explored locally weighted second-order statistics for point processes,…
Cubature scheme for spatio-temporal Poisson point processes estimation
Nicoletta D'Angelo, Giada Adelfio
This work presents the cubature scheme for the fitting of spatio-temporal Poisson point processes. The methodology is implemented in the R Core Team (2024) package stopp (D'Angelo…
Spatio-temporal point process modelling of fires in Sicily exploring human and environmental factors
Nicoletta D'Angelo, Alessandro Albano, Andrea Gilardi +1
In 2023, Sicily faced an escalating issue of uncontrolled fires, necessitating a thorough investigation into their spatio-temporal dynamics. Our study addresses this concern throug…
stopp: Methods for spatio-temporal point pattern analysis, simulation, model fitting, diagnostics, and local analyses
Nicoletta D'Angelo, Giada Adelfio
The stopp R package deals with spatio-temporal point processes which might have occurred on the Euclidean space or on some specific linear networks such as roads of a city. The pac…