--- title: "EnergyDemandGenerator-Transport Model (EDGE-T)" author: "Johanna Hoppe" date: "`r Sys.Date()`" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{EnergyDemandGenerator-Transport Model (EDGE-T)} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ## Description lore ipsum ## Usage The package can be installed from github... Data can be generated as follows: ` toolEdgeTransportSA <- function(SSPscen, transportPolScen, isICEban = FALSE, demScen = "default", gdxPath = NULL, outputFolder = ".", isStored = TRUE, isTransportReported = TRUE, isTransportExtendedReported = FALSE, isREMINDinputReported = FALSE, isAnalyticsReported = FALSE) ` Where: `SSPscen` character string containing the selected SSP scenario. Options are: `SSP1`, `SSP2` `transportPolScen` character string containing the transport policy scenario. Options are: `demScen` character string containing the demand scenario, used to apply reduction factors on total demands from the regression. Options are: `gdxPath` character string containing a path to a REMIND fulldata.gdx to load the fuel price trajectories from. `outputFolder` character string containing a path to a folder for storing output data `isStored` boolean for optional saving of intermediate RDS files `isTransportReported` boolean for optional transport reporting in model intercomparison formate (MIF) `isTransportExtendedReported` boolean for optional extension of transport reporting providing more detailed variables `isREMINDinputReported` boolean for optional reporting of REMIND input data `isAnalyticsReported` boolean for optional reporting of analytics data (e.g. variables over iterations) ## Data generation structure lore ipsum ## Scenarios description lore ipsum ## References lore ipsum - credits mariannas paper