Work

Analyzing Discrete Movement Data as a Correlated Random Walk

Year: 1989

Type: article

Abstract: Correlated random walk models provide a framework for making quantitative predictions about an organism's rate of spread. In this paper we present an algorithm that calculates the variance in squared displacement for a correlated random walk model. This can be used to make statistical comparisons of observed displacements to the model and to approximate the expected net displacement of the model. We illustrate the techniques with examples of insect movement and the vegetative spread of clonal plants.

Source: Ecology

DOI: 10.2307/1937543

Authors: C. E. McCulloch, M. L. Cain

Institution: Cornell University

Language: English

Topic: Mathematical and Theoretical Epidemiology and Ecology Models

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

Open Access status: bronze

OpenAlex ID: W2207207387

FWCI: 5.455

Cites: 8

Cited by: 92

Related to: 10