Compares global mean statistical meterics for multiple model runs
This function plots statistical meterics for multiple model runs. This is useful for comparing the impact of changes in model settings or input data.
metrics.compare(mod.path.list = mod.path.list, plot.width = 13, plot.height = 14, outputDir = FALSE, defineVariableOrder = TRUE, myVariables = myVariables)
mod.path.list |
A list with paths for each model run, e.g. mod.path.list <- list(mod01.path, mod02.path, mod03.path) |
plot.width |
Number that gives the plot width, e.g. 6 |
plot.height |
Number that gives the plot height, e.g. 5 |
outputDir |
A string that gives the output directory, e.g. '/home/project/study'. The output will only be written if the user specifies an output directory. |
defineVariableOrder |
Logical. If TRUE, variables are sorted according to the parameter myVariables defined below. Default setting is FALSE. |
myVariables |
An R object with variable names of variables that should be included in table, e.g. c('GPP', 'RECO', 'NEE') |
A figure in PDF format that shows statistical metrics for multiple model runs.
library(amber) library(classInt) library(doParallel) library(foreach) library(Hmisc) library(latex2exp) library(ncdf4) library(parallel) library(raster) library(rgdal) library(rgeos) library(scico) library(sp) library(stats) library(utils) library(viridis) library(xtable) mod01.path <- system.file('extdata/SIMod01', package = 'amber') mod02.path <- system.file('extdata/SIMod02', package = 'amber') mod.path.list <- list(mod01.path, mod02.path) myVariables <- c('RNS', 'RSS', 'RLS', 'ALBS', 'HFLS', 'HFSS', 'HFG', 'GPP', 'RECO', 'NEE', 'FIRE', 'AGB', 'CVEG', 'CSOIL', 'LAI', 'BURNT', 'SNW', 'MRSLL', 'MRRO') myVariables <- c('ALBS', 'GPP', 'LAI') metrics.compare(mod.path.list = mod.path.list, plot.width = 5, plot.height = 15, outputDir = FALSE, defineVariableOrder = TRUE, myVariables = myVariables)
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