A guide to state–space modeling of ecological time series
State–space models (SSMs) are an important modeling framework for analyzing ecological
time series. These hierarchical models are commonly used to model population dynamics …
time series. These hierarchical models are commonly used to model population dynamics …
Hidden Markov models: Pitfalls and opportunities in ecology
Abstract Hidden Markov models (HMMs) and their extensions are attractive methods for
analysing ecological data where noisy, multivariate measurements are made of a hidden …
analysing ecological data where noisy, multivariate measurements are made of a hidden …
[BOOK][B] Hidden Markov models for time series: an introduction using R
W Zucchini, IL MacDonald - 2009 - taylorfrancis.com
Reveals How HMMs Can Be Used as General-Purpose Time Series ModelsImplements all
methods in RHidden Markov Models for Time Series: An Introduction Using R applies …
methods in RHidden Markov Models for Time Series: An Introduction Using R applies …
Optimizing the use of biologgers for movement ecology research
The paradigm‐changing opportunities of biologging sensors for ecological research,
especially movement ecology, are vast, but the crucial questions of how best to match the …
especially movement ecology, are vast, but the crucial questions of how best to match the …
Integrated step selection analysis: bridging the gap between resource selection and animal movement
A resource selection function is a model of the likelihood that an available spatial unit will be
used by an animal, given its resource value. But how do we appropriately define …
used by an animal, given its resource value. But how do we appropriately define …
moveHMM: an R package for the statistical modelling of animal movement data using hidden Markov models
Due to the substantial progress in tracking technology, recent years have seen an explosion
in the amount of movement data being collected. This has led to a huge demand for …
in the amount of movement data being collected. This has led to a huge demand for …
momentuHMM: R package for generalized hidden Markov models of animal movement
Discrete‐time hidden Markov models (HMMs) have become an immensely popular tool for
inferring latent animal behaviours from telemetry data. While movement HMMs typically rely …
inferring latent animal behaviours from telemetry data. While movement HMMs typically rely …
[BOOK][B] Animal movement: statistical models for telemetry data
The study of animal movement has always been a key element in ecological science,
because it is inherently linked to critical processes that scale from individuals to populations …
because it is inherently linked to critical processes that scale from individuals to populations …
Selecting the number of states in hidden Markov models: pragmatic solutions illustrated using animal movement
We discuss the notorious problem of order selection in hidden Markov models, that is of
selecting an adequate number of states, highlighting typical pitfalls and practical challenges …
selecting an adequate number of states, highlighting typical pitfalls and practical challenges …
Animal-borne telemetry: an integral component of the ocean observing toolkit
Animal telemetry is a powerful tool for observing marine animals and the physical
environments that they inhabit, from coastal and continental shelf ecosystems to polar seas …
environments that they inhabit, from coastal and continental shelf ecosystems to polar seas …