mipplot_area: Area plot from IAMC data

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

Description

Area 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 (two in this version).

Usage

mipplot_area(
  D,
  R,
  region = levels(D$region),
  scenario = levels(D$scenario),
  facet_x = NULL,
  facet_y = NULL,
  PRINT_OUT = FALSE,
  DEBUG = TRUE,
  fontsize = 20,
  color_code_specify = TRUE,
  one_hundred_percent_stacked = FALSE,
  axis_year_text_angle = 0,
  language = "en"
)

Arguments

D	A dataframe of IAMC data in tibble format to produce area plots.
R	A dataframe of data aggregation rules (meta data).
region	A list of regions.
scenario	A list of scenario.
facet_x	facet_x
facet_y	facet_y
PRINT_OUT	set TRUE to generate PDF file.
DEBUG	set TRUE to show debug messages.
fontsize	font size of text.
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_year_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 area 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(2005 <= period) %>%
filter(period <= 2100)
mipplot_area(data_subset, ar5_db_sample_rule_table,
region = c("ASIA"),
scenario = c("EMF27-450-Conv"),
one_hundred_percent_stacked = FALSE,
axis_year_text_angle = 0,
language = 'en')

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