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Diffusion and anomalous diffusion are widely observed and used to study movement across organisms, resulting in extensive use of the mean and mean-squared displacement (MSD). However, these measures - corresponding to specific displacement…

Populations and Evolution · Quantitative Biology 2025-08-14 Ohad Vilk , Motti Charter , Sivan Toledo , Eli Barkai , Ran Nathan

A standard approach to study time-dependent stochastic processes is the power spectral density (PSD), an ensemble-averaged property defined as the Fourier transform of the autocorrelation function of the process in the asymptotic limit of…

Statistical Mechanics · Physics 2019-09-04 Vittoria Sposini , Ralf Metzler , Gleb Oshanin

The growing number of large databases of animal tracking provides an opportunity for analyses of movement patterns at the scales of populations and even species. We used analytical approaches, developed to cope with big data, that require…

Time-dependent processes are often analysed using the power spectral density (PSD), calculated by taking an appropriate Fourier transform of individual trajectories and finding the associated ensemble-average. Frequently, the available…

Statistical Mechanics · Physics 2019-02-04 D. Krapf , N. Lukat , E. Marinari , R. Metzler , G. Oshanin , C. Selhuber-Unkel , A. Squarcini , L. Stadler , M. Weiss , X. Xu

There is great interest in ecology to understand how wild animals are affected by anthropogenic disturbances, such as sounds. Behavioural response studies are an important approach to quantify the impact of naval activity on marine mammals.…

Applications · Statistics 2022-12-20 Théo Michelot , Richard Glennie , Len Thomas , Nicola Quick , Catriona M. Harris

The power spectral density (PSD) of any time-dependent stochastic processes $X_t$ is a meaningful feature of its spectral content. In its text-book definition, the PSD is the Fourier transform of the covariance function of $X_t$ over an…

Statistical Mechanics · Physics 2018-06-12 Diego Krapf , Enzo Marinari , Ralf Metzler , Gleb Oshanin , Xinran Xu , Alessio Squarcini

Acoustic telemetry data plays a vital role in understanding the behaviour and movement of aquatic animals. However, these datasets, which often consist of millions of individual data points, frequently contain anomalous movements that pose…

Machine Learning · Computer Science 2025-02-04 Siphendulwe Zaza , Marcellin Atemkeng , Taryn S. Murray , John David Filmalter , Paul D. Cowley

The regularity of ecosystem size spectra is one of the most intriguing and relevant phenomena on our planet. Pelagic size spectra generally show a log-linearly downtrending shape, following a power-law distribution. A constant log-linear…

Populations and Evolution · Quantitative Biology 2026-05-26 Ralf Schwamborn

This paper addresses the problem of identifying different flow environments from sparse data collected by wing strain sensors. Insects regularly perform this feat using a sparse ensemble of noisy strain sensors on their wing. First, we…

Data Analysis, Statistics and Probability · Physics 2020-05-18 Krithika Manohar , Steven L. Brunton , J. Nathan Kutz

The analysis of animal tracking data provides an important source of scientific understanding and discovery in ecology. Observations of animal trajectories using telemetry devices provide researchers with information about the way animals…

Methodology · Statistics 2020-02-17 Henry R. Scharf , Mevin B. Hooten , Ryan R. Wilson , George M. Durner , Todd C. Atwood

1. Advances in tracking technology have led to an exponential increase in animal location data, greatly enhancing our ability to address interesting questions in movement ecology, but also presenting new challenges related to data manage-…

Quantitative Methods · Quantitative Biology 2018-05-10 Johannes Signer , John Fieberg , Tal Avgar

The power spectral density (PSD) represents a key property quantifying the stochastic or random noise type fluctuations in variable sources like Active Galactic Nuclei (AGN). In recent years, estimates of the PSD have been refined by…

High Energy Astrophysical Phenomena · Physics 2020-10-05 Nachiketa Chakraborty , Frank M. Rieger

Anomalous diffusion or, more generally, anomalous transport, with nonlinear dependence of the mean-squared displacement on the measurement time, is ubiquitous in nature. It has been observed in processes ranging from microscopic movement of…

The power spectral density (PSD) is a central frequency-domain descriptor of stochastic processes. While PSDs have been studied for Brownian motion and a few anomalous diffusion processes, the spectral densities of active nonequilibrium…

Statistical Mechanics · Physics 2026-05-12 Yeongjin Kim , Gleb Oshanin , Jae-Hyung Jeon

A multi-state version of an animal movement analysis method based on conditional logistic regression, called Step Selection Function (SSF), is proposed. In ecology SSF is developed from a comparison between the observed location of an…

Methodology · Statistics 2018-03-14 Aurélien Nicosia , Thierry Duchesne , Louis-Paul Rivest , Daniel Fortin

Models of population growth and extinction are an increasingly popular subject of study. However, consequences of stochasticity and noise in shaping distributions and outcomes are not sufficiently explored. Here we consider a distributed…

Statistical Mechanics · Physics 2020-11-11 Bertrand Ottino-Löffler , Mehran Kardar

Species distribution models (SDMs) are important statistical tools for ecologists to understand and predict species range. However, standard SDMs do not explicitly incorporate dynamic processes like dispersal. This limitation may lead to…

Populations and Evolution · Quantitative Biology 2021-08-27 Julie Louvrier , Julien Papaïx , Christophe Duchamp , Olivier Gimenez

Scale-free foraging patterns are widespread among animals. These may be the outcome of an optimal searching strategy to find scarce randomly distributed resources, but a less explored alternative is that this behaviour may result from the…

Populations and Evolution · Quantitative Biology 2007-05-23 Denis Boyer , Gabriel Ramos-Fernández , Octavio Miramontes , José L. Mateos , Germinal Cocho , Hernán Larralde , Humberto Ramos , Fernando Rojas

A vertically shaken granular medium hosts a blade rotating around a fixed vertical axis, which acts as a mesorheological probe. At high densities, independently from the shaking intensity, the blade's dynamics show strong caging effects,…

Soft Condensed Matter · Physics 2015-05-19 Camille Scalliet , Andrea Gnoli , Andrea Puglisi , Angelo Vulpiani

The aerial flocking of birds, or murmurations, has fascinated observers while presenting many challenges to behavioral study and simulation. We examine how the periphery of murmurations remain well bounded and cohesive. We also investigate…

Quantitative Methods · Quantitative Biology 2024-07-22 Rama Carl Hoetzlein
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