mipplot_bar: Bar plot from IAMC data

In UTokyo-mip/mipplot: An Open-Source Tool for Visualization of Climate Mitigation Scenarios

Description

Bar plots using right-hand-side values of target additivity rule. The function arguments include the input dataframe, labels for the plot/axes/legend, and faceting dimensions.

Usage

mipplot_bar(
  D,
  R,
  region = levels(D$region),
  xby = "scenario",
  target_year = levels(as.factor(D$period)),
  facet_x = NULL,
  facet_y = NULL,
  PRINT_OUT = FALSE,
  DEBUG = TRUE,
  fontsize = 20,
  color_code_specify = TRUE,
  one_hundred_percent_stacked = FALSE,
  axis_scenario_text_angle = 0,
  language = "en"
)

Arguments

D	A dataframe of IAMC data in tibble format to produce plots.
R	A dataframe of data aggregation rules (meta data).
region	A list of region.
xby	name of axis. the default setting is "scenario".
target_year	target year.
facet_x	facet_x
facet_y	facet_y
PRINT_OUT	set TRUE to generate A PDF file.
DEBUG	set TRUE to show debug messages.
fontsize	size of font in the output plot.
color_code_specify	set FALSE if you apply default color palette.
one_hundred_percent_stacked	set TRUE if you want a graph of 100% stacked, set this to TRUE.
axis_scenario_text_angle	text angle of x axis
language	A string of language. Possible values are "en", "jp", "es", "zh-cn", "zh-tw". The default value is "en".

Value

A list of bar plots.

Examples

library(dplyr)
data_subset <- ar5_db_sample_data %>%
filter(variable == "Emissions|CO2|Land Use") %>%
filter(model %in% c("AIM-Enduse 12.1", "GCAM 3.0", "IMAGE 2.4")) %>%
filter(scenario %in% c("EMF27-450-Conv", "EMF27-450-FullTech"))

mipplot_bar(data_subset, ar5_db_sample_rule_table,
region = c("ASIA"),
target_year = 2005,
one_hundred_percent_stacked = FALSE,
axis_scenario_text_angle = 0,
language = 'en')

UTokyo-mip/mipplot documentation built on Aug. 7, 2021, 6:25 p.m.