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Skip to Search Results- 3Codling, Edward A.
- 2Auger-Méthé, Marie
- 2Derocher, Andrew E.
- 2Lewis, Mark A.
- 2Plank, Michael J.
- 1Auger‐Méthé, Marie
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Differentiating the Lévy walk from a composite correlated random walk - Code
2015
Lewis, Mark A., Auger-Méthé, Marie, Plank, Michael J., Codling, Edward A., Derocher, Andrew E.
Source code for an R package that can be used to simulate and apply various search strategy models to movement data. This is the code used in the manuscript entitled: Differentiating the Lévy walk from a composite correlated random walk. See https://github.com/MarieAugerMethe/CCRWvsLW for any...
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Differentiating the Lévy walk from a composite correlated random walk - Data
2015
Lewis, Mark A., Auger-Méthé, Marie, Plank, Michael J., Codling, Edward A., Derocher, Andrew E.
This the data associated with the manuscript entitled: Differentiating the Lévy walk from a composite correlated random walk. It is the step lengths and turning angles of two bears collared in the Hudson Bay. The data is the step length and turning angle measured at regular time intervals (every...
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2016-09-01
Auger‐Méthé, Marie, Derocher, Andrew E, DeMars, Craig A, Plank, Michael J, Codling, Edward A., Lewis, Mark A, Fryxell, John
Searching allows animals to find food, mates, shelter and other resources essential for survival and reproduction and is thus among the most important activities performed by animals. Theory predicts that animals will use random search strategies in highly variable and unpredictable environments....