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lakemorpho: Calculating lake morphometry metrics in R
Jeffrey Hollister1, Joseph Stachelek2
1US Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Atlantic Ecology Division, Narragansett, RI, USA.
F1000Research
|December 1, 2017
Summary
The R package lakemorpho estimates lake morphometry metrics using national datasets, addressing data accessibility challenges for ecological modeling. This tool provides key shape and size data for numerous lakes, improving broad-scale limnological studies.
Area of Science:
- Limnology
- Geospatial analysis
- Ecological modeling
Background:
- Lake morphometry metrics are crucial for limnological studies but often inaccessible.
- Data scarcity hinders broad-scale lake ecology modeling.
- National datasets like digital elevation models and hydrography offer potential for morphometry estimation.
Purpose of the Study:
- To introduce the R package lakemorpho for estimating lake morphometry metrics.
- To address the challenge of accessing and utilizing lake morphometry data.
- To facilitate broader ecological modeling by providing accessible morphometric data.
Main Methods:
- Utilized national datasets, specifically digital elevation models and hydrography.
- Developed the R package lakemorpho to process these datasets.
- Implemented algorithms to estimate various lake morphometry metrics.
Main Results:
- The lakemorpho package estimates 14 key morphometry metrics, including surface area, volume, and depth.
- Demonstrated the package's utility with a typical use case example.
- Successfully leveraged existing national datasets for morphometric estimations.
Conclusions:
- The lakemorpho R package provides a valuable tool for estimating lake morphometry metrics.
- Increases the accessibility of essential data for limnological research and ecological modeling.
- Supports more comprehensive and scalable studies of lake ecosystems.
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