Open johannah-pik opened 1 year ago
State as of 0.140.1:
This proposal:
Thanks! Maybe it is useful also to somehow group the markers. Proposal (with reference at the end): OECD/high income regions: 15-19 China, India, OAS: 2,1,6 LAM, REF: 12, 13 MEA, SSA: 3,4 https://github.com/pik-piam/mip/issues/51
This merge request:
sorry, maybe I am a bit slow - what do you mean with "this merge" - Nico's proposal? The option to choose a different palette (such as Nico's proposal) still has to be implemented sometime in the future, right?
Clarified. This is indeed a proposal, not a merge request.
The option to choose a different palette (such as Nico's proposal) still has to be implemented sometime in the future, right?
Very much so, as plotstyle.add()
is a destructive operation.
Somehow I remember that @dklein-pik was the master of plotstyle and the default csv file that is used. David, if so, could you up-date?
@0UmfHxcvx5J7JoaOhFSs5mncnisTJJ6q I only use plotstyle.add locally, where it does not affect the overall default values.
@0UmfHxcvx5J7JoaOhFSs5mncnisTJJ6q I only use plotstyle.add locally, where it does not affect the overall default values.
Yes. But you can't go back to default values. So there is no option for you to use either one or the other, except for manually setting them every time. Which defeats the purpose of the plot styles to some degree.
Somehow I remember that @dklein-pik was the master of plotstyle and the default csv file that is used. David, if so, could you up-date?
I am not sure what you want. But if you want to update colors you can do it here https://github.com/pik-piam/mip/blob/master/inst/extdata/plotstyle.csv
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