# stopp: Methods for spatio-temporal point pattern analysis, simulation,   model fitting, diagnostics, and local analyses

**Authors:** Nicoletta D'Angelo, Giada Adelfio

arXiv: 2302.13684 · 2023-02-28

## TL;DR

The stopp R package provides comprehensive tools for analyzing, modeling, and simulating spatio-temporal point processes on Euclidean spaces and networks, focusing on local characteristics and integrating recent methodological advances.

## Contribution

It consolidates various state-of-the-art methods for spatio-temporal point process analysis into a single, extensible R package, facilitating broader application and further development.

## Key findings

- Includes functions for summarizing and plotting point processes.
- Supports modeling, inference, and simulation on networks and Euclidean space.
- Focuses on local characteristics of spatio-temporal point processes.

## Abstract

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 package contains functions to summarize, plot, and perform different kinds of analyses on point processes, mainly following the methods proposed in some recent papers in the stream of scientific literature. The main topics of such works, and of the package in turn, include modeling, statistical inference, and simulation issues on spatio-temporal point processes on Euclidean space and linear networks, with a focus on their local characteristics. We contribute to the existing literature by collecting many of the most widespread methods for the analysis of spatio-temporal point processes into a unique package, which is intended to welcome many further proposals and extensions.

## Full text

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## Figures

13 figures with captions in the complete paper: https://tomesphere.com/paper/2302.13684/full.md

## References

56 references — full list in the complete paper: https://tomesphere.com/paper/2302.13684/full.md

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Source: https://tomesphere.com/paper/2302.13684