A novel method for identifying behavioural changes in animal movement data.
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Extending the Functionality of Behavioural Change-Point Analysis with k-Means Clustering: A Case Study with the Little Penguin (Eudyptula minor)Path segmentation for beginners: an overview of current methods for detecting changes in animal movement patternsVelocity-based movement modeling for individual and population level inferenceDeveloping and Integrating Advanced Movement Features Improves Automated Classification of Ciliate SpeciesProximate cues to phases of movement in a highly dispersive waterfowl, Anas superciliosaPerformance and Accuracy of Lightweight and Low-Cost GPS Data Loggers According to Antenna Positions, Fix Intervals, Habitats and Animal MovementsElucidating the significance of spatial memory on movement decisions by African savannah elephants using state-space modelsResponse of African elephants (Loxodonta africana) to seasonal changes in rainfall.From moonlight to movement and synchronized randomness: Fourier and wavelet analyses of animal location time series dataA framework for understanding the architecture of collective movements using pairwise analyses of animal movement dataTemporal autocorrelation functions for movement rates from global positioning system radiotelemetry dataTime geography and wildlife home range delineationCorrelated velocity models as a fundamental unit of animal movement: synthesis and applicationsAnalysis and visualisation of movement: an interdisciplinary reviewCombining animal movements and behavioural data to detect behavioural states.Using a partial sum method and GPS tracking data to identify area restricted search by artisanal fishers at moored fish aggregating devices in the Commonwealth of Dominica.How many routes lead to migration? Comparison of methods to assess and characterize migratory movements.Using satellite tracking to optimize protection of long-lived marine species: olive ridley sea turtle conservation in Central Africa.Changing motivations during migration: linking movement speed to reproductive status in a migratory large mammalTruncated Lévy walks are expected beyond the scale of data collection when correlated random walks embody observed movement patternsIndividual-based measurements of light intensity provide new insights into the effects of artificial light at night on daily rhythms of urban-dwelling songbirds.Toward the quantification of a conceptual framework for movement ecology using circular statistical modeling.When to be discrete: the importance of time formulation in understanding animal movementConsequences of animal interactions on their dynamics: emergence of home ranges and territorialityNovel opportunities for wildlife conservation and research with real-time monitoring.Does light pollution alter daylength? A test using light loggers on free-ranging European blackbirds (Turdus merula).Bivariate Gaussian bridges: directional factorization of diffusion in Brownian bridge models.Identifying Space Use at Foraging Arena Scale within the Home Ranges of Large Herbivores.Quantifying Migration Behaviour Using Net Squared Displacement Approach: Clarifications and Caveats.Expectation-Maximization Binary Clustering for Behavioural Annotation.Effects of Land Cover on the Movement of Frugivorous Birds in a Heterogeneous LandscapeForaging Behaviour in Magellanic Woodpeckers Is Consistent with a Multi-Scale Assessment of Tree Quality.Does movement behaviour predict population densities? A test with 25 butterfly species.Space Use and Habitat Selection by Resident and Transient Red Wolves (Canis rufus).Classification of Animal Movement Behavior through Residence in Space and TimeA framework for modelling range shifts and migrations: asking when, whither, whether and will it return.Drivers of hibernation in the brown bear.Inferring parturition and neonate survival from movement patterns of female ungulates: a case study using woodland caribou.Putting the behavior into animal movement modeling: Improved activity budgets from use of ancillary tag information.Incorporating periodic variability in hidden Markov models for animal movement.
P2860
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P2860
A novel method for identifying behavioural changes in animal movement data.
description
2009 nî lūn-bûn
@nan
2009 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
A novel method for identifying behavioural changes in animal movement data.
@ast
A novel method for identifying behavioural changes in animal movement data.
@en
type
label
A novel method for identifying behavioural changes in animal movement data.
@ast
A novel method for identifying behavioural changes in animal movement data.
@en
prefLabel
A novel method for identifying behavioural changes in animal movement data.
@ast
A novel method for identifying behavioural changes in animal movement data.
@en
P1433
P1476
A novel method for identifying behavioural changes in animal movement data.
@en
P2093
Kristin L Laidre
Russel D Andrews
P304
P356
10.1111/J.1461-0248.2009.01293.X
P407
P577
2009-05-01T00:00:00Z