Why Watershed Analysts Should Use R for Data Processing and Analysis

Authors

  • R.D. (Dan) Moore University of British Columbia
  • David Hutchinson Environment Canada

DOI:

https://doi.org/10.22230/jwsm.2017v1n1a2

Keywords:

data science, programming languages, reproducible analysis, visualization, watershed analysis

Abstract

Both the science and practice associated with watershed management involve the processing, presentation and analysis of quantitative information. In this article, the use of open source programming languages by watershed analysts is advocated. The R language, in particular, provides a rich set of tools for the types of data that are commonly encountered in watershed analysis. The utility of R is illustrated through three examples: intensity-duration-frequency analysis of rainfall data, baseflow separation, and watershed delineation and mapping.

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Published

2017-06-29

How to Cite

Moore, R. (Dan), & Hutchinson, D. (2017). Why Watershed Analysts Should Use R for Data Processing and Analysis. Confluence: Journal of Watershed Science and Management, 1(1). https://doi.org/10.22230/jwsm.2017v1n1a2

Issue

Vol. 1 No. 1 (2017): Why Watershed Analysts Should Use R for Data Processing and Analysis

Section

Articles

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