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>
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
In views: Hydrology
CRAN checks: RSAlgaeR results


Reference manual: RSAlgaeR.pdf


Package source: RSAlgaeR_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): RSAlgaeR_1.0.0.tgz, r-oldrel (arm64): RSAlgaeR_1.0.0.tgz, r-release (x86_64): RSAlgaeR_1.0.0.tgz, r-oldrel (x86_64): RSAlgaeR_1.0.0.tgz


Please use the canonical form to link to this page.