Stelfi: An R package for fitting Hawkes and log-Gaussian Cox point process models.

ABSTRACT: 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 existing R packages that facilitate fitting spatiotemporal point processes and, separately, self-exciting models, none incorporate both. We present an R package, stelfi, that fits spatiotemporal self-exciting and log-Gaussian Cox process models using Template Model Builder through a range of custom-written C+

SUBMITTER: Jones-Todd CM 

PROVIDER: S-EPMC10864691 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature