1985
DOI: 10.2307/1939170
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Testing For Independence of Observations in Animal Movements

Abstract: Abstract. Many analyses of animal movements assume that an animal's position at time t + 1 is independent of its position at time t, but no statistical procedure exists to test this assumption with bivariate data. Using empirically derived critical values for the ratio of mean squared distance between successive observations to mean squared distance from the center of activity, we demonstrate a bivariate test of the independence assumption first proposed by Schoener. For cases in which the null hypothesis of i… Show more

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Cited by 677 publications
(396 citation statements)
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References 27 publications
(42 reference statements)
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“…To avoid autocorrelation between locations these must be spaced in time so that an individual can travel from one edge of its home range to the other (Swihart & Slade 1985). In our study, this interval was established by eagle M43, who traveled the greatest distance from its nest.…”
Section: Data Collectionmentioning
confidence: 99%
“…To avoid autocorrelation between locations these must be spaced in time so that an individual can travel from one edge of its home range to the other (Swihart & Slade 1985). In our study, this interval was established by eagle M43, who traveled the greatest distance from its nest.…”
Section: Data Collectionmentioning
confidence: 99%
“…Therefore, a 75% fixed kernel estimator (FKE) [20] was used to calculate the core areas of the alligators. To control for autocorrelation among consecutive observations [21], one location per day for each alligator was used in the calculation. A pairedsample t-test was used to compare the home-range sizes of the two alligators in the different seasons.…”
Section: Discussionmentioning
confidence: 99%
“…We based the MCP's on all pooled relocation data, including both data recorded during spatial data collection and opportunistic sightings recorded while following other study animals or moving around the study area for logistic reasons. We used MCP's to characterize home range size because they are relatively robust to possible temporal autocorrelation among data (Swihart and Slade, 1985). We calculated home range sizes using Hawth's Tools (http://www.spatialecology.com/htools).…”
Section: Quantification Of Sex Specific Space Use and Behaviourmentioning
confidence: 99%