An exploratory data analysis (EDA) of the paths of moving animals.

DOI10.1016/j.jspi.2003.06.016zbMath1040.62098OpenAlexW2083930763MaRDI QIDQ1429874

David R. Brillinger, Haiganoush K. Preisler, Alan A. Ager, John G. Kie

Publication date: 27 May 2004

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2003.06.016

zbMATH Keywords

Fourier analysisTime seriesPathsResidual analysisExploratory data analysisDependenceDeerElkJohn W. TukeyStarkey experimental forestVector field plots

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Inference from stochastic processes and spectral analysis (62M15) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Dynamical systems in biology (37N25)

Related Items (4)

Inferring resource distributions from Atlantic bluefin tuna movements: an analysis based on net displacement and length of track ⋮ The linear mixed model and the hierarchical Ornstein-Uhlenbeck model: Some equivalences and differences ⋮ A stochastic simulation model for \textit{Anelosimus studiosus} during prey capture: a case study for determination of optimal spacing ⋮ A hierarchical Ornstein-Uhlenbeck model for continuous repeated measurement data

Cites Work

• Employing stochastic differential equations to model wildlife motion
• Nonparametric Statistical Data Modeling
• Fast Fourier Transforms for Nonequispaced Data
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