RSAlgaeR: Builds Empirical Remote Sensing Models of Water Quality Variables and Analyzes Long-Term Trends

Assists in processing reflectance data, developing empirical models using stepwise regression and a generalized linear modeling approach, cross- validation, and analysis of trends in water quality conditions (specifically chl-a) and climate conditions using the Theil-Sen estimator.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: plyr, lubridate, ggplot2, hydroGOF, stats, cvTools, mblm, graphics, utils
Published: 2018-04-10
Author: Carly Hansen
Maintainer: Carly Hansen <carlyahansen at gmail.com>
BugReports: https://github.com/cahhansen/RSAlgae/issues
License: GPL-2
URL: http://github.com/cahhansen/RSAlgae
NeedsCompilation: no
Materials: README NEWS
In views: Hydrology
CRAN checks: RSAlgaeR results

Downloads:

Reference manual: RSAlgaeR.pdf
Package source: RSAlgaeR_1.0.0.tar.gz
Windows binaries: r-devel: RSAlgaeR_1.0.0.zip, r-release: RSAlgaeR_1.0.0.zip, r-oldrel: RSAlgaeR_1.0.0.zip
OS X binaries: r-release: RSAlgaeR_1.0.0.tgz, r-oldrel: RSAlgaeR_1.0.0.tgz

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