Data and R code supporting: Using Piecewise Regression to Identify Biological Phenomena in Biotelemetry Datasets

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Data and R code supporting: Using Piecewise Regression to Identify Biological Phenomena in Biotelemetry Datasets

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2022-03-31

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Wolfson, David W
wolfs064@umn.edu

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Abstract

This repository contains data and R code (along with associated output from running the code) for fitting the example case studies reported in: Wolfson, D.W., D. E. Andersen, and J. R. Fieberg, Using Piecewise Regression to Identify Biological Phenomena in Biotelemetry Data. https://www.biorxiv.org/content/10.1101/2021.12.14.472652v1

Description

See readme file included with the set of files.

Referenced by

Wolfson, D.W., Andersen, D.E., Fieberg, J.R. (2021) Using Piecewise Regression to Identify Biological Phenomena in Biotelemetry Datasets. bioRxiv.
https://doi.org/10.1101/2021.12.14.472652

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Funding for this project was provided by Minnesota Environmental and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources (LCCMR) and the U.S. Geological Survey, Minnesota Cooperative Fish and Wildlife Research Unit.
John Fieberg received partial support from the Minnesota Agricultural Experimental Station.

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Wolfson, David W; Andersen, David E; Fieberg, John R. (2022). Data and R code supporting: Using Piecewise Regression to Identify Biological Phenomena in Biotelemetry Datasets. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/qbha-bs48.
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File View/OpenDescriptionSize
black_bear.htmlOutput from black_bear.Rmd file759.84 KB
black_bear.RmdR code1.56 KB
moose.htmlOutput from moose.Rmd file811.11 KB
moose.RmdR code4.15 KB
ODBA_temp.htmlOutput from ODBA_temp.Rmd file955.95 KB
ODBA_temp.RmdR code11.7 KB
sandhill_crane.htmlOutput from sandhill_crane.Rmd file763.33 KB
sandhill_crane.RmdR code4.64 KB
swan_post_capture.htmlOutput from swan_post_capture.Rmd file751.45 KB
swan_post_capture.RmdR code1.94 KB
nesting_example.htmlOutput from nesting_example.Rmd file1.43 MB
nesting_example.RmdR code9.97 KB
datasets.zipZipped folder of all datasets used6.49 MB
fitted_models.zipZipped folder of fitted models created and referenced448.02 MB
readme.txtReadme text file7.49 KB

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