Temporal autocorrelation functions for movement rates from global positioning system radiotelemetry data
Autocorrelation has been viewed as a problem in telemetry studies because sequential observations are not independent in time or space, therefore violating assumptions for statistical inference. Yet nearly all ecological and behavioural data are autocorrelated in both space and time. We argue that t...
Published in: | Philosophical Transactions of the Royal Society B: Biological Sciences |
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crroyalsociety:10.1098/rstb.2010.0080 2024-06-23T07:51:58+00:00 Temporal autocorrelation functions for movement rates from global positioning system radiotelemetry data Boyce, Mark S. Pitt, Justin Northrup, Joseph M. Morehouse, Andrea T. Knopff, Kyle H. Cristescu, Bogdan Stenhouse, Gordon B. 2010 http://dx.doi.org/10.1098/rstb.2010.0080 https://royalsocietypublishing.org/doi/pdf/10.1098/rstb.2010.0080 https://royalsocietypublishing.org/doi/full-xml/10.1098/rstb.2010.0080 en eng The Royal Society https://royalsociety.org/journals/ethics-policies/data-sharing-mining/ Philosophical Transactions of the Royal Society B: Biological Sciences volume 365, issue 1550, page 2213-2219 ISSN 0962-8436 1471-2970 journal-article 2010 crroyalsociety https://doi.org/10.1098/rstb.2010.0080 2024-06-10T04:15:06Z Autocorrelation has been viewed as a problem in telemetry studies because sequential observations are not independent in time or space, therefore violating assumptions for statistical inference. Yet nearly all ecological and behavioural data are autocorrelated in both space and time. We argue that there is much to learn about the structure of ecological and behavioural data from patterns of autocorrelation. Such patterns include periodicity in movement and patchiness in spatial data, which can be characterized by an autocorrelogram, semivariogram or spectrum. We illustrate the utility of temporal autocorrelation functions (ACFs) for analysing step-length data from GPS telemetry of wolves ( Canis lupus ), cougars ( Puma concolor ), grizzly bears ( Ursus arctos ) and elk ( Cervus elaphus ) in western Alberta. ACFs often differ by season, reflecting differences in foraging behaviour. In wilderness landscapes, step-length ACFs for predators decay slowly to apparently random patterns, but sometimes display strong daily rhythms in areas of human disturbance. In contrast, step lengths of elk are consistently periodic, reflecting crepuscular activity. Article in Journal/Newspaper Canis lupus Ursus arctos The Royal Society Philosophical Transactions of the Royal Society B: Biological Sciences 365 1550 2213 2219 |
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crroyalsociety |
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English |
description |
Autocorrelation has been viewed as a problem in telemetry studies because sequential observations are not independent in time or space, therefore violating assumptions for statistical inference. Yet nearly all ecological and behavioural data are autocorrelated in both space and time. We argue that there is much to learn about the structure of ecological and behavioural data from patterns of autocorrelation. Such patterns include periodicity in movement and patchiness in spatial data, which can be characterized by an autocorrelogram, semivariogram or spectrum. We illustrate the utility of temporal autocorrelation functions (ACFs) for analysing step-length data from GPS telemetry of wolves ( Canis lupus ), cougars ( Puma concolor ), grizzly bears ( Ursus arctos ) and elk ( Cervus elaphus ) in western Alberta. ACFs often differ by season, reflecting differences in foraging behaviour. In wilderness landscapes, step-length ACFs for predators decay slowly to apparently random patterns, but sometimes display strong daily rhythms in areas of human disturbance. In contrast, step lengths of elk are consistently periodic, reflecting crepuscular activity. |
format |
Article in Journal/Newspaper |
author |
Boyce, Mark S. Pitt, Justin Northrup, Joseph M. Morehouse, Andrea T. Knopff, Kyle H. Cristescu, Bogdan Stenhouse, Gordon B. |
spellingShingle |
Boyce, Mark S. Pitt, Justin Northrup, Joseph M. Morehouse, Andrea T. Knopff, Kyle H. Cristescu, Bogdan Stenhouse, Gordon B. Temporal autocorrelation functions for movement rates from global positioning system radiotelemetry data |
author_facet |
Boyce, Mark S. Pitt, Justin Northrup, Joseph M. Morehouse, Andrea T. Knopff, Kyle H. Cristescu, Bogdan Stenhouse, Gordon B. |
author_sort |
Boyce, Mark S. |
title |
Temporal autocorrelation functions for movement rates from global positioning system radiotelemetry data |
title_short |
Temporal autocorrelation functions for movement rates from global positioning system radiotelemetry data |
title_full |
Temporal autocorrelation functions for movement rates from global positioning system radiotelemetry data |
title_fullStr |
Temporal autocorrelation functions for movement rates from global positioning system radiotelemetry data |
title_full_unstemmed |
Temporal autocorrelation functions for movement rates from global positioning system radiotelemetry data |
title_sort |
temporal autocorrelation functions for movement rates from global positioning system radiotelemetry data |
publisher |
The Royal Society |
publishDate |
2010 |
url |
http://dx.doi.org/10.1098/rstb.2010.0080 https://royalsocietypublishing.org/doi/pdf/10.1098/rstb.2010.0080 https://royalsocietypublishing.org/doi/full-xml/10.1098/rstb.2010.0080 |
genre |
Canis lupus Ursus arctos |
genre_facet |
Canis lupus Ursus arctos |
op_source |
Philosophical Transactions of the Royal Society B: Biological Sciences volume 365, issue 1550, page 2213-2219 ISSN 0962-8436 1471-2970 |
op_rights |
https://royalsociety.org/journals/ethics-policies/data-sharing-mining/ |
op_doi |
https://doi.org/10.1098/rstb.2010.0080 |
container_title |
Philosophical Transactions of the Royal Society B: Biological Sciences |
container_volume |
365 |
container_issue |
1550 |
container_start_page |
2213 |
op_container_end_page |
2219 |
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1802643131418542080 |