Why Watershed Analysts Should Use R for Data Processing and Analysis | Zendy

R. D. Moore | Zendy; D. Hutchinson | Zendy

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Why Watershed Analysts Should Use R for Data Processing and Analysis

Author(s) -

R. D. Moore,

D. Hutchinson

Publication year - 2017

Publication title -

confluence journal of watershed science and management

Language(s) - English

Resource type - Journals

ISSN - 2561-1836

DOI - 10.22230/jwsm.2017v1n1a2

Subject(s) - watershed , baseflow , computer science , set (abstract data type) , data science , cartography , geography , machine learning , streamflow , drainage basin , programming language

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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