Meterological Lake Comparison
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Reference List

This page lists all entries in the project bibliography.

References

Allaire, JJ, Yihui Xie, Christophe Dervieux, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, et al. 2024. Rmarkdown: Dynamic Documents for r. https://github.com/rstudio/rmarkdown.
Chang, Winston, Joe Cheng, JJ Allaire, Carson Sievert, Barret Schloerke, Garrick Aden-Buie, Yihui Xie, et al. 2025. Shiny: Web Application Framework for r. https://shiny.posit.co/.
Cheng, Joe, Barret Schloerke, Bhaskar Karambelkar, Yihui Xie, and Garrick Aden-Buie. 2025. Leaflet: Create Interactive Web Maps with the JavaScript Leaflet Library. https://rstudio.github.io/leaflet/.
Cheng, Joe, Carson Sievert, Barret Schloerke, Winston Chang, Yihui Xie, and Jeff Allen. 2024. Htmltools: Tools for HTML. https://github.com/rstudio/htmltools.
Frassl, Marieke A., Bertram Boehrer, Peter L. Holtermann, Weiping Hu, Knut Klingbeil, Zhaoliang Peng, Jinge Zhu, and Karsten Rinke. 2018. “Opportunities and Limits of Using Meteorological Reanalysis Data for Simulating Seasonal to Sub-Daily Water Temperature Dynamics in a Large Shallow Lake.” Water 10 (5). https://doi.org/10.3390/w10050594.
Freshwater Ecology : Concepts and Environmental Applications of Limnology. 2020a. 3rd edition. Aquatic Ecology. San Diego, Calif.: Academic Press.
———. 2020b. 3rd edition. Aquatic Ecology. San Diego, Calif.: Academic Press.
Grolemund, Garrett, and Hadley Wickham. 2011. “Dates and Times Made Easy with lubridate.” Journal of Statistical Software 40 (3): 1–25. https://www.jstatsoft.org/v40/i03/.
Hersbach, Hans, Bill Bell, Paul Berrisford, Shoji Hirahara, András Horányi, Joaquín Muñoz-Sabater, Julien Nicolas, et al. 2020. “The ERA5 Global Reanalysis.” Quarterly Journal of the Royal Meteorological Society 146 (730): 1999–2049. https://doi.org/10.1002/qj.3803.
Iannone, Richard, Joe Cheng, Barret Schloerke, Shannon Haughton, Ellis Hughes, Alexandra Lauer, Romain François, JooYoung Seo, Ken Brevoort, and Olivier Roy. 2026. Gt: Easily Create Presentation-Ready Display Tables. https://gt.rstudio.com.
Jolliffe, Ian T., ed. 2003. Forecast Verification: A Practitioner’s Guide in Atmospheric Science. Repr. Chichester: Wiley.
Lin, Greg. 2025. Reactable: Interactive Data Tables for r. https://glin.github.io/reactable/.
Lin, Lawrence I-Kuei. 1989. “A Concordance Correlation Coefficient to Evaluate Reproducibility.” Biometrics 45 (1): 255–68. https://doi.org/10.2307/2532051.
Mark Padgham, Bob Rudis, Robin Lovelace, and Maëlle Salmon. 2017. “Osmdata.” Journal of Open Source Software 2 (14): 305. https://doi.org/10.21105/joss.00305.
Maspons, Joan, Mark Padgham, Bob Rudis, Robin Lovelace, and Maëlle Salmon. 2025. Osmdata: Import OpenStreetMap Data as Simple Features or Spatial Objects. https://docs.ropensci.org/osmdata/.
Massicotte, Philippe, and Andy South. 2026. Rnaturalearth: World Map Data from Natural Earth. https://docs.ropensci.org/rnaturalearth/.
Mosley, M. Paul, ed. 1992. Waters of New Zealand. Post Office Box 12-300, Wellington North New Zealand: New Zealand Hydrological Society Inc.
Müller, Kirill. 2025. Here: A Simpler Way to Find Your Files. https://here.r-lib.org/.
Müller, Kirill, and Hadley Wickham. 2023. Tibble: Simple Data Frames. https://tibble.tidyverse.org/.
Muñoz-Sabater, Joaquín, Emanuel Dutra, Anna Agustí-Panareda, Clément Albergel, Gabriele Arduini, Gianpaolo Balsamo, Souhail Boussetta, et al. 2021. “ERA5-Land: A State-of-the-Art Global Reanalysis Dataset for Land Applications.” Earth System Science Data 13 (9): 4349–83. https://doi.org/10.5194/essd-13-4349-2021.
Pearson, Karl. 1896. “Mathematical Contributions to the Theory of Evolution. III. Regression, Heredity, and Panmixia.” Philosophical Transactions of the Royal Society of London. Series A 187: 253–318.
Pebesma, Edzer. 2018. “Simple Features for R: Standardized Support for Spatial Vector Data.” The R Journal 10 (1): 439–46. https://doi.org/10.32614/RJ-2018-009.
———. 2026. Sf: Simple Features for r. https://r-spatial.github.io/sf/.
Pebesma, Edzer, and Roger Bivand. 2023. Spatial Data Science: With applications in R. Chapman and Hall/CRC. https://doi.org/10.1201/9780429459016.
R Core Team. 2024. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
R: A Language and Environment for Statistical Computing. 2024. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Rekasi, Andrea. 2024. “Step-by-Step Guide to Using the Concordance Correlation Coefficient | Python-Bloggers.” https://python-bloggers.com/2024/10/step-by-step-guide-to-using-the-concordance-correlation-coefficient/.
Scott, David W. 2015. Multivariate Density Estimation: Theory, Practice, and Visualization. John Wiley & Sons.
Setchell, Helen. n.d.a. “ECMWF Reanalysis V5.”
———. n.d.b. “ECMWF Reanalysis V5.”
———. n.d.c. “ECMWF Reanalysis V5.”
Sievert, Carson. 2020. Interactive Web-Based Data Visualization with r, Plotly, and Shiny. Chapman; Hall/CRC. https://plotly-r.com.
Sievert, Carson, Chris Parmer, Toby Hocking, Scott Chamberlain, Karthik Ram, Marianne Corvellec, and Pedro Despouy. 2025. Plotly: Create Interactive Web Graphics via Plotly.js. https://plotly-r.com.
South, Andy, Schramm Michael, and Philippe Massicotte. 2024. Rnaturalearthdata: World Vector Map Data from Natural Earth Used in Rnaturalearth. https://docs.ropensci.org/rnaturalearthdata/.
Spinu, Vitalie, Garrett Grolemund, and Hadley Wickham. 2023. Lubridate: Make Dealing with Dates a Little Easier. https://lubridate.tidyverse.org.
Tennekes, Martijn. 2018. “tmap: Thematic Maps in R.” Journal of Statistical Software 84 (6): 1–39. https://doi.org/10.18637/jss.v084.i06.
———. 2025. Tmap: Thematic Maps. https://github.com/r-tmap/tmap.
Ushey, Kevin, and Hadley Wickham. 2025. Renv: Project Environments. https://rstudio.github.io/renv/.
Vaughan, Davis. 2025. Slider: Sliding Window Functions. https://github.com/r-lib/slider.
“Virtual Climate Station Network (VCSN) Data Technical Description | Earth Sciences New Zealand | NIWA.” n.d.b. https://niwa.co.nz/climate-and-weather/virtual-climate-station-network-vcsn-data-technical-description.
———. n.d.a. https://niwa.co.nz/climate-and-weather/virtual-climate-station-network-vcsn-data-technical-description.
Wickham, Hadley. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org.
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.
Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, Dewey Dunnington, and Teun van den Brand. 2025. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://ggplot2.tidyverse.org.
Wickham, Hadley, Romain François, Lionel Henry, Kirill Müller, and Davis Vaughan. 2023. Dplyr: A Grammar of Data Manipulation. https://dplyr.tidyverse.org.
Wickham, Hadley, and Lionel Henry. 2025. Purrr: Functional Programming Tools. https://purrr.tidyverse.org/.
Wickham, Hadley, Jim Hester, and Jennifer Bryan. 2024. Readr: Read Rectangular Text Data. https://readr.tidyverse.org.
Wickham, Hadley, Davis Vaughan, and Maximilian Girlich. 2024. Tidyr: Tidy Messy Data. https://tidyr.tidyverse.org.
Xie, Yihui. 2014. “Knitr: A Comprehensive Tool for Reproducible Research in R.” In Implementing Reproducible Computational Research, edited by Victoria Stodden, Friedrich Leisch, and Roger D. Peng. Chapman; Hall/CRC.
———. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. https://yihui.org/knitr/.
———. 2025. Knitr: A General-Purpose Package for Dynamic Report Generation in r. https://yihui.org/knitr/.
Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown.
Xie, Yihui, Christophe Dervieux, and Emily Riederer. 2020. R Markdown Cookbook. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown-cookbook.