Open AccessWhy Watershed Analysts Should Use R for Data Processing and Analysis
Author(s) -
R. D. Moore,
David Hutchinson
Publication year - 2017
Publication title -
confluence
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.