stelfi: An R package for fitting Hawkes and log‐Gaussian Cox point process models

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Title

stelfi: An R package for fitting Hawkes and log‐Gaussian Cox point process models

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The University of Auckland Library

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ResearchSpace@Auckland

Description

Modelling spatial and temporal patterns in ecology is imperative to understand the complex processes inherent in ecological phenomena. Log-Gaussian Cox processes are a popular choice among ecologists to describe the spatiotemporal distribution of point-referenced data. In addition, point pattern models where events instigate others nearby (i.e., self-exciting behaviour) are becoming increasingly popular to infer the contagious nature of events (e.g., animal sightings). While there are existin...

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Format

Research paper

Research format

Journal article

Date created

2024-02

Creator

Jones‐Todd, Charlotte M / Helsdingen, Alec BM

URL

https://hdl.handle.net/2292/67779

Related subjects

4102 Ecological Applications / 31 Biological Sciences / 3103 Ecology / 3104 Evolutionary Biology / 41 Environmental Sciences / 0602 Ecology / 0603 Evolutionary Biology

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