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foreSIGHT
View on CRAN: Click
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Download and install foreSIGHT package within the R console
Install from CRAN:
install.packages("foreSIGHT")
Install from Github:
library("remotes")
install_github("cran/foreSIGHT")
Install by package version:
library("remotes")
install_version("foreSIGHT", "1.2.0")
Attach the package and use:
library("foreSIGHT")
Maintained by
David McInerney
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-09
Latest Update: 2023-10-19
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) and Prudhomme et al. (2010) ). 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) ) and stochastic simulation of perturbed time series via an inverse approach (see Guo et al. (2018) ). It incorporates 'Richardson-type' weather generator model configurations documented in Richardson (1981) , Richardson and Wright (1984), as well as latent variable type model configurations documented in Bennett et al. (2018) , Rasmussen (2013) , Bennett et al. (2019) 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. Version 1.0 of this package is described in Bennett et al. (2021) . As further developments in scenario-neutral approaches occur the tool will be updated to incorporate these advances.
How to cite:
David McInerney (2018). foreSIGHT: Systems Insights from Generation of Hydroclimatic Timeseries. R package version 1.2.0, https://cran.r-project.org/web/packages/foreSIGHT. Accessed 22 Dec. 2024.
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Complete documentation for foreSIGHT
Functions, R codes and Examples using
the foreSIGHT R package
Some associated functions: barossa_obs . calculateAttributes . climdata2030 . createExpSpace . egClimData . egMultiSiteSim . egScalPerformance . egScalSummary . egSimOATPerformance . egSimOATSummary . egSimPerformance . egSimPerformance_systemB . egSimSummary . foreSIGHT . func_CSL . func_F0 . func_GSL . func_P . func_R . func_avg . func_avgDSD . func_avgWSD . func_dyWet . func_maxDSD . func_maxWSD . func_nWet . func_rng . func_seasRatio . func_tot . func_wettest6monPeakDay . func_wettest6monSeasRatio . generateScenario . generateScenarios . getSimSummary . modCalibrator . modSimulator . plotExpSpace . plotMultiSiteScenarios . plotOptions . plotPerformanceOAT . plotPerformanceSpace . plotPerformanceSpaceMulti . plotScenarios . runSystemModel . tankPerformance . tankWrapper . tank_obs . viewAttributeDef . viewAttributeFuncs . viewDefaultOptimArgs . viewModelParameters . viewModels . viewTankMetrics . viewVariables . writeControlFile .
Some associated R codes: LogfileEntry.R . RcppExports.R . WGEN_lib.R . argumentInputChecker.R . attributeCalculator.R . attributeManager.R . calc.stat.lib.R . calibrationArgCheck.R . calibrationNation.R . collate.stats.R . control.R . controlFileFunctions.R . control_utilityFuncs.R . createExpSpace.R . dataInputChecker.R . dateManager.R . defaultParams_diagAndPlotting.R . default_parameters.R . demoTankModel.R . diagnosticPlotLib.R . exposureSpaceSampler.R . foreSIGHT.R . harmonicFit.R . modEvaluate_masterLists_v2.R . modEvaluate_v2.R . modelInputEnvironments.R . modelSequencer.R . objFuncTown.R . optimManagement.R . outputManager.R . plotExpSpace.R . plotOptions.R . plotPerformanceOAT.R . plotPerformanceSpace.R . plotPerformanceSpaceMulti.R . simCity.R . simPerformance.R . simplyScale_lib.R . stochParManager.R . summariseMutiSiteSimulatedSeries.R . summariseSimulatedSeries.R . targetFinder.R . zzz.R . Full foreSIGHT package functions and examples
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