metis.bia: metis.bia

In JGCRI/metis: Multi-Scale Multi-Sector Analysis

Description

This function downscales GCAM electricity generation and installed capacity onto a grid, based on WRI PowerWatch dataset of present capacity

Usage

metis.bia(
  dirOutputs = paste(getwd(), "/outputs", sep = ""),
  regionsSelect = NULL,
  regionsSelectDiagnostic = NULL,
  dataProjFile = "dataProj.proj",
  gcamdatabase = NULL,
  gridChoice = "grid_050",
  diagnosticsON = F,
  subsectorNAdistribute = "even",
  folderName = NULL,
  nameAppend = ""
)

Arguments

dirOutputs	Default=paste(getwd(),"/outputs",sep Default=""). Location for outputs.
regionsSelect	The regions to analyze in a vector. Example c('Colombia','Argentina')
regionsSelectDiagnostic	Default = NULL (sets to regionsSelect). Choose the regions to run diagnostics.
dataProjFile	Optional. A default 'dataProj.proj' is produced if no .Proj file is specified.
gcamdatabase	Default NULL. Full path to gcamdatabase.
gridChoice	Default = "grid_050" . Choice of whether to use 50 km x 50 km grid cells ("grid_050") or 25 km x 25 km ("grid_025").
diagnosticsON	Default = T.
subsectorNAdistribute	Default = "even". Choose "even" for even distribution or "totalOther" to distribute based on sum of all other subsectors..
folderName	Default = NULL,
nameAppend	Default=""

Value

A tibble with GCAM electricity generation distributed on a grid for selected regions

JGCRI/metis documentation built on April 12, 2021, 12:07 a.m.