Linear Dynamical System Reconstruction

Streamflow (and climate) reconstruction using Linear Dynamical Systems. The advantage of this method is the additional state trajectory which can reveal more information about the catchment or climate system. For details of the method please refer to Nguyen and Galelli (2018) .


Travis build status GPL license GitHub version

ldsr

Streamflow reconstruction using linear dynamical system. The method was described in Nguyen and Galelli (2018) and used in Nguyen et al (2019). Please cite Nguyen and Galelli (2018) when using the package.

To install this package, type the following commands into your RStudio console:

install.packages('devtools')
devtools::install_github('ntthung/ldsr', build_vignettes = TRUE)

Note that if you don't already have Rtools (a set of tools to build packages from sources), RStudio will prompt you to install it. Just follow the instructions. After Rtools installation is complete, type the above install_github command again.

To view the package's vignette, type

browseVignettes('ldsr')

References

Nguyen, H. T. T., & Galelli, S. (2018). A linear dynamical systems approach to streamflow reconstruction reveals history of regime shifts in northern Thailand. Water Resources Research, 54, 2057– 2077. https://doi.org/10.1002/2017WR022114

Nguyen, H. T. T., Turner, S. W., Buckley, B. M., & Galelli, S. (2019). Coherent streamflow variability in Monsoon Asia over the past eight centuries---links to oceanic drivers. https://doi.org/10.31223/osf.io/5tg68

Reference manual

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install.packages("ldsr")

0.0.2 by Hung Nguyen, 6 years ago


https://github.com/ntthung/ldsr


Report a bug at https://github.com/ntthung/ldsr/issues


Browse source code at https://github.com/cran/ldsr


Authors: Hung Nguyen [aut, cre] , Stefano Galelli [ctb]


Documentation:   PDF Manual  


GPL (>= 2.0) license


Imports data.table, foreach, MASS, Rcpp, stats

Suggests GA, knitr, rmarkdown, testthat, ggplot2, patchwork, doFuture, future

Linking to Rcpp, RcppArmadillo


See at CRAN