Package: foreSIGHT
Version: 0.9.81
Depends: R (>= 3.3.0),GA (>= 3.0.2), zoo
Imports: doParallel, ggplot2 (>= 3.0.0), directlabels, cowplot, stats,
        graphics, grDevices, utils, moments
Suggests: knitr (>= 1.8), rmarkdown (>= 1.18)
Title: Systems Insights from Generation of Hydroclimatic Timeseries
Authors@R: c(person("Bree", "Bennett", role=c("aut","cre"),email="bree.bennett@adelaide.edu.au", comment = c(ORCID = "0000-0002-2131-088X")),
    person("Sam", "Culley", role=c("aut"),email="sam.culley@adelaide.edu.au", comment = c(ORCID = "0000-0003-4798-8522")),
    person("Seth", "Westra", role=("aut"), email="seth.westra@adelaide.edu.au", comment = c(ORCID = "0000-0003-4023-6061")),
    person("Danlu", "Guo", role=("ctb"), email="danlu.guo@adelaide.edu.au", comment = c(ORCID = "0000-0003-1083-1214")),
    person("Holger", "Maier", role=("ths"), email="holger.maier@adelaide.edu.au", comment = c(ORCID = "0000-0002-0277-6887")))
Author: Bree Bennett [aut, cre] (<https://orcid.org/0000-0002-2131-088X>),
  Sam Culley [aut] (<https://orcid.org/0000-0003-4798-8522>),
  Seth Westra [aut] (<https://orcid.org/0000-0003-4023-6061>),
  Danlu Guo [ctb] (<https://orcid.org/0000-0003-1083-1214>),
  Holger Maier [ths] (<https://orcid.org/0000-0002-0277-6887>)
Maintainer: Bree Bennett <bree.bennett@adelaide.edu.au>
BugReports: https://github.com/bsbennett/foreSIGHT/issues
Description: A tool to create hydroclimate scenarios, stress test systems and visualize system performance in scenario-neutral climate change impact assessments. Scenario-neutral approaches 'stress-test' the performance of a modelled system by applying a wide range of plausible hydroclimate conditions (see Brown & Wilby (2012) <doi:10.1029/2012EO410001> and Prudhomme et al. (2010) <doi:10.1016/j.jhydrol.2010.06.043>). These approaches allow the identification of hydroclimatic variables that affect the vulnerability of a system to hydroclimate variation and change. This tool enables the generation of perturbed time series using a range of approaches including simple scaling of observed time series (e.g. Culley et al. (2016) <doi:10.1002/2015WR018253>) and stochastic simulation of perturbed time series via an inverse approach (see Guo et al. (2018) <doi:10.1016/j.jhydrol.2016.03.025>). It incorporates a number of stochastic weather models to generate hydroclimate variables on a daily basis (e.g. precipitation, temperature, potential evapotranspiration) and allows a variety of different hydroclimate variable properties, herein called attributes, to be perturbed. Options are included for the easy integration of existing system models both internally in R and externally for seamless 'stress-testing'. A suite of visualization options for the results of a scenario-neutral analysis (e.g. plotting performance spaces and overlaying climate projection information) are also included. As further developments in scenario-neutral approaches occur the tool will be updated to incorporate these advances.
License: GPL-3
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2019-12-03 20:28:05 UTC; a1160755
Repository: CRAN
Date/Publication: 2019-12-04 06:30:04 UTC
Built: R 4.0.0; ; 2020-04-10 11:32:29 UTC; windows
