Stochastic Foundations In Movement Ecology
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Stochastic Foundations in Movement Ecology
Author: Vicenç Méndez
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-09-18
This book presents the fundamental theory for non-standard diffusion problems in movement ecology. Lévy processes and anomalous diffusion have shown to be both powerful and useful tools for qualitatively and quantitatively describing a wide variety of spatial population ecological phenomena and dynamics, such as invasion fronts and search strategies. Adopting a self-contained, textbook-style approach, the authors provide the elements of statistical physics and stochastic processes on which the modeling of movement ecology is based and systematically introduce the physical characterization of ecological processes at the microscopic, mesoscopic and macroscopic levels. The explicit definition of these levels and their interrelations is particularly suitable to coping with the broad spectrum of space and time scales involved in bio-ecological problems. Including numerous exercises (with solutions), this text is aimed at graduate students and newcomers in this field at the interface of theoretical ecology, mathematical biology and physics.
Theory of the Spread of Epidemics and Movement Ecology of Animals
Author: V. M. (Nitant) Kenkre
language: en
Publisher: Cambridge University Press
Release Date: 2021-01-28
Powerful analytical tools from statistical physics, guided by field observations are applied to spread of epidemics and movement ecology.
Eye Movement Research
This edited volume presents fundamentals as well as applications of oculomotor methods in industrial and clinical settings. The topical spectrum covers 1.) basics and background material, 2.) methods such as recording techniques, markov models, Lévy flights, pupillometry and many more, as well as 3.) a broad range of applications in clinical and industrial settings. The target audience primarily comprises research experts and practitioners, but the book may also be beneficial for graduate students.