Depending on the use case, different color palettes are desired for the REMIND regions.
The new region colors from this PR are optimized for distinguishability (e.g. for the REMIND validation).
For publications, grouped colors for like-wise regions could be better.
Here is a proposal from Nico for a grouped color palette, that could be implemented as an alternative choice:
OECD regions
plotstyle.add("EUR", "EU", rgb(0.0, 0.0, 0.99, 1), marker = 23, replace = TRUE )
plotstyle.add("NEU", "Other Europe", rgb(0.0, 0.0, 0.65, 1), marker = 9, replace = TRUE )
plotstyle.add("USA", "USA", rgb(0.5, 0.5, 0.99, 1), marker = 10, replace = TRUE )
plotstyle.add("JPN", "Japan", rgb(0.0, 0.5, 0.99, 1), marker = 13, replace = TRUE )
plotstyle.add("CAZ", "Can, Aus, NZ", rgb(0.3, 0.3, 0.8, 1), marker = 17, replace = TRUE )
Regions with developing and Emerging markets
plotstyle.add("CHA", "China", rgb(0.3, 0.99, 0.3, 1), marker = 19, replace = TRUE )
plotstyle.add("IND", "India", rgb(0.3, 0.65, 0.3, 1), marker = 8, replace = TRUE )
plotstyle.add("OAS", "Other Asia", rgb(0.6, 0.99, 0.0, 1), marker = 11, replace = TRUE )
plotstyle.add("SSA", "Sub-Sahra Africa", rgb(0.5, 0.0, 0.99, 1), marker = 15, replace = TRUE )
plotstyle.add("MEA", "Middle East & N. Africa", rgb(0.7, 0.2, 0.99, 1), marker = 17, replace = TRUE )
plotstyle.add("LAM", "Latin America", rgb(0.9, 0.6, 0.5, 1), marker = 12, replace = TRUE
Depending on the use case, different color palettes are desired for the REMIND regions.
The new region colors from this PR are optimized for distinguishability (e.g. for the REMIND validation).
For publications, grouped colors for like-wise regions could be better.
Here is a proposal from Nico for a grouped color palette, that could be implemented as an alternative choice:
OECD regions
plotstyle.add("EUR", "EU", rgb(0.0, 0.0, 0.99, 1), marker = 23, replace = TRUE )
plotstyle.add("NEU", "Other Europe", rgb(0.0, 0.0, 0.65, 1), marker = 9, replace = TRUE )
plotstyle.add("USA", "USA", rgb(0.5, 0.5, 0.99, 1), marker = 10, replace = TRUE )
plotstyle.add("JPN", "Japan", rgb(0.0, 0.5, 0.99, 1), marker = 13, replace = TRUE )
plotstyle.add("CAZ", "Can, Aus, NZ", rgb(0.3, 0.3, 0.8, 1), marker = 17, replace = TRUE )
Regions with developing and Emerging markets
plotstyle.add("CHA", "China", rgb(0.3, 0.99, 0.3, 1), marker = 19, replace = TRUE )
plotstyle.add("IND", "India", rgb(0.3, 0.65, 0.3, 1), marker = 8, replace = TRUE )
plotstyle.add("OAS", "Other Asia", rgb(0.6, 0.99, 0.0, 1), marker = 11, replace = TRUE )
plotstyle.add("SSA", "Sub-Sahra Africa", rgb(0.5, 0.0, 0.99, 1), marker = 15, replace = TRUE )
plotstyle.add("MEA", "Middle East & N. Africa", rgb(0.7, 0.2, 0.99, 1), marker = 17, replace = TRUE )
plotstyle.add("LAM", "Latin America", rgb(0.9, 0.6, 0.5, 1), marker = 12, replace = TRUE