Modelling phenology using ordered categorical generalized additive models

Fuente: arXiv
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1. Verfasser: Miller, David L
Format: Preprint
Veröffentlicht: 2025
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author Miller, David L
author_facet Miller, David L
contents One form of data collected in ecology is phenological, describing the timing of life stages. It can be tempting to analyze such data using a continuous distribution or to model individual transitions via probit/logit models. Such simplifications can lead to incorrect inference in various ways, all of which stem from ignoring the natural structure of the data. This paper presents a flexible approach to modelling ordered categorical data using the popular R package `mgcv`. An example analysis of saxifrage phenology in Greenland including useful plots, model checking and derived quantities is included.
format Preprint
id arxiv_https___arxiv_org_abs_2508_07789
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Modelling phenology using ordered categorical generalized additive models
Miller, David L
Methodology
Quantitative Methods
One form of data collected in ecology is phenological, describing the timing of life stages. It can be tempting to analyze such data using a continuous distribution or to model individual transitions via probit/logit models. Such simplifications can lead to incorrect inference in various ways, all of which stem from ignoring the natural structure of the data. This paper presents a flexible approach to modelling ordered categorical data using the popular R package `mgcv`. An example analysis of saxifrage phenology in Greenland including useful plots, model checking and derived quantities is included.
title Modelling phenology using ordered categorical generalized additive models
topic Methodology
Quantitative Methods
url https://arxiv.org/abs/2508.07789