Data and R code supporting “Non-linear water clarity trends and impacts on littoral area in Minnesota lakes”

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1979-01-01
2018-12-31

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Journal Title

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Title

Data and R code supporting “Non-linear water clarity trends and impacts on littoral area in Minnesota lakes”

Published Date

2021-04-19

Author Contact

Vitense, Kelsey
viten003@umn.edu

Type

Dataset
Field Study Data
Observational Data
Spatial Data
Statistical Computing Software Code

Abstract

This repository contains the data and R code used to conduct the analyses in the article "Non-linear water clarity trends and impacts on littoral area in Minnesota lakes" in Limnology and Oceanography Letters.

Description

Detailed descriptions of the data and R files can be found in Vitense_and_Hansen_Metadata.pdf. We recommend using RStudio to run the code. Double-click on the R project files ('AllLakesModelSecchi.Rproj' and 'Clarity_Habitat_Impacts.Rproj') to open up new RStudio windows with the working directories set to the folders where the project files are located. Note that the 'Clarity_Habitat_Impacts' project uses output from the 'AllLakesModelSecchi' project.

Referenced by

Vitense, K., Hansen, G.J.A. In revision. Non-linear water clarity trends and impacts on littoral area in Minnesota lakes. Limnology and Oceanography Letters. DOI pending

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Funding information

Minnesota Department of Natural Resources

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Previously Published Citation

Suggested citation

Vitense, Kelsey; Hansen, Gretchen J A. (2021). Data and R code supporting “Non-linear water clarity trends and impacts on littoral area in Minnesota lakes”. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/7b2s-gv09.
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File View/OpenDescriptionSize
Vitense_and_Hansen_Metadata.pdfDescriptions of the data and R code883.53 KB
Vitense_and_Hansen_Archive.zipZip file containing the archived data and code (see Vitense_and_Hansen_Metadata.pdf)7.23 GB
DD0intDOYbyCDOM_multiRE_ParentDataEachDecade1.rdsOne of ten saved model fits to add to "AllLakesModelSecchi/Saved_GAMs" folder for 10-fold CV5.71 GB
DD0intDOYbyCDOM_multiRE_ParentDataEachDecade2.rdsOne of ten saved model fits to add to "AllLakesModelSecchi/Saved_GAMs" folder for 10-fold CV5.71 GB
DD0intDOYbyCDOM_multiRE_ParentDataEachDecade3.rdsOne of ten saved model fits to add to "AllLakesModelSecchi/Saved_GAMs" folder for 10-fold CV5.71 GB
DD0intDOYbyCDOM_multiRE_ParentDataEachDecade4.rdsOne of ten saved model fits to add to "AllLakesModelSecchi/Saved_GAMs" folder for 10-fold CV5.71 GB
DD0intDOYbyCDOM_multiRE_ParentDataEachDecade5.rdsOne of ten saved model fits to add to "AllLakesModelSecchi/Saved_GAMs" folder for 10-fold CV5.71 GB
DD0intDOYbyCDOM_multiRE_ParentDataEachDecade6.rdsOne of ten saved model fits to add to "AllLakesModelSecchi/Saved_GAMs" folder for 10-fold CV5.71 GB
DD0intDOYbyCDOM_multiRE_ParentDataEachDecade7.rdsOne of ten saved model fits to add to "AllLakesModelSecchi/Saved_GAMs" folder for 10-fold CV5.71 GB
DD0intDOYbyCDOM_multiRE_ParentDataEachDecade8.rdsOne of ten saved model fits to add to "AllLakesModelSecchi/Saved_GAMs" folder for 10-fold CV5.71 GB
DD0intDOYbyCDOM_multiRE_ParentDataEachDecade9.rdsOne of ten saved model fits to add to "AllLakesModelSecchi/Saved_GAMs" folder for 10-fold CV5.71 GB
DD0intDOYbyCDOM_multiRE_ParentDataEachDecade10.rdsOne of ten saved model fits to add to "AllLakesModelSecchi/Saved_GAMs" folder for 10-fold CV5.71 GB

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