Turbo scale from GoogleAI vs Viridis, Inferno, and Jet

turbo_scale_comparisons.R

# turboscale values are from https://gist.github.com/mikhailov-work/ee72ba4191942acecc03fe6da94fc73f
library(grDevices)

turbo_colormap_data = matrix(c(c(0.18995,0.07176,0.23217),
c(0.19483,0.08339,0.26149),
c(0.19956,0.09498,0.29024),
c(0.20415,0.10652,0.31844),
c(0.20860,0.11802,0.34607),
c(0.21291,0.12947,0.37314),
c(0.21708,0.14087,0.39964),
c(0.22111,0.15223,0.42558),
c(0.22500,0.16354,0.45096),
c(0.22875,0.17481,0.47578),
c(0.23236,0.18603,0.50004),
c(0.23582,0.19720,0.52373),
c(0.23915,0.20833,0.54686),
c(0.24234,0.21941,0.56942),
c(0.24539,0.23044,0.59142),
c(0.24830,0.24143,0.61286),
c(0.25107,0.25237,0.63374),
c(0.25369,0.26327,0.65406),
c(0.25618,0.27412,0.67381),
c(0.25853,0.28492,0.69300),
c(0.26074,0.29568,0.71162),
c(0.26280,0.30639,0.72968),
c(0.26473,0.31706,0.74718),
c(0.26652,0.32768,0.76412),
c(0.26816,0.33825,0.78050),
c(0.26967,0.34878,0.79631),
c(0.27103,0.35926,0.81156),
c(0.27226,0.36970,0.82624),
c(0.27334,0.38008,0.84037),
c(0.27429,0.39043,0.85393),
c(0.27509,0.40072,0.86692),
c(0.27576,0.41097,0.87936),
c(0.27628,0.42118,0.89123),
c(0.27667,0.43134,0.90254),
c(0.27691,0.44145,0.91328),
c(0.27701,0.45152,0.92347),
c(0.27698,0.46153,0.93309),
c(0.27680,0.47151,0.94214),
c(0.27648,0.48144,0.95064),
c(0.27603,0.49132,0.95857),
c(0.27543,0.50115,0.96594),
c(0.27469,0.51094,0.97275),
c(0.27381,0.52069,0.97899),
c(0.27273,0.53040,0.98461),
c(0.27106,0.54015,0.98930),
c(0.26878,0.54995,0.99303),
c(0.26592,0.55979,0.99583),
c(0.26252,0.56967,0.99773),
c(0.25862,0.57958,0.99876),
c(0.25425,0.58950,0.99896),
c(0.24946,0.59943,0.99835),
c(0.24427,0.60937,0.99697),
c(0.23874,0.61931,0.99485),
c(0.23288,0.62923,0.99202),
c(0.22676,0.63913,0.98851),
c(0.22039,0.64901,0.98436),
c(0.21382,0.65886,0.97959),
c(0.20708,0.66866,0.97423),
c(0.20021,0.67842,0.96833),
c(0.19326,0.68812,0.96190),
c(0.18625,0.69775,0.95498),
c(0.17923,0.70732,0.94761),
c(0.17223,0.71680,0.93981),
c(0.16529,0.72620,0.93161),
c(0.15844,0.73551,0.92305),
c(0.15173,0.74472,0.91416),
c(0.14519,0.75381,0.90496),
c(0.13886,0.76279,0.89550),
c(0.13278,0.77165,0.88580),
c(0.12698,0.78037,0.87590),
c(0.12151,0.78896,0.86581),
c(0.11639,0.79740,0.85559),
c(0.11167,0.80569,0.84525),
c(0.10738,0.81381,0.83484),
c(0.10357,0.82177,0.82437),
c(0.10026,0.82955,0.81389),
c(0.09750,0.83714,0.80342),
c(0.09532,0.84455,0.79299),
c(0.09377,0.85175,0.78264),
c(0.09287,0.85875,0.77240),
c(0.09267,0.86554,0.76230),
c(0.09320,0.87211,0.75237),
c(0.09451,0.87844,0.74265),
c(0.09662,0.88454,0.73316),
c(0.09958,0.89040,0.72393),
c(0.10342,0.89600,0.71500),
c(0.10815,0.90142,0.70599),
c(0.11374,0.90673,0.69651),
c(0.12014,0.91193,0.68660),
c(0.12733,0.91701,0.67627),
c(0.13526,0.92197,0.66556),
c(0.14391,0.92680,0.65448),
c(0.15323,0.93151,0.64308),
c(0.16319,0.93609,0.63137),
c(0.17377,0.94053,0.61938),
c(0.18491,0.94484,0.60713),
c(0.19659,0.94901,0.59466),
c(0.20877,0.95304,0.58199),
c(0.22142,0.95692,0.56914),
c(0.23449,0.96065,0.55614),
c(0.24797,0.96423,0.54303),
c(0.26180,0.96765,0.52981),
c(0.27597,0.97092,0.51653),
c(0.29042,0.97403,0.50321),
c(0.30513,0.97697,0.48987),
c(0.32006,0.97974,0.47654),
c(0.33517,0.98234,0.46325),
c(0.35043,0.98477,0.45002),
c(0.36581,0.98702,0.43688),
c(0.38127,0.98909,0.42386),
c(0.39678,0.99098,0.41098),
c(0.41229,0.99268,0.39826),
c(0.42778,0.99419,0.38575),
c(0.44321,0.99551,0.37345),
c(0.45854,0.99663,0.36140),
c(0.47375,0.99755,0.34963),
c(0.48879,0.99828,0.33816),
c(0.50362,0.99879,0.32701),
c(0.51822,0.99910,0.31622),
c(0.53255,0.99919,0.30581),
c(0.54658,0.99907,0.29581),
c(0.56026,0.99873,0.28623),
c(0.57357,0.99817,0.27712),
c(0.58646,0.99739,0.26849),
c(0.59891,0.99638,0.26038),
c(0.61088,0.99514,0.25280),
c(0.62233,0.99366,0.24579),
c(0.63323,0.99195,0.23937),
c(0.64362,0.98999,0.23356),
c(0.65394,0.98775,0.22835),
c(0.66428,0.98524,0.22370),
c(0.67462,0.98246,0.21960),
c(0.68494,0.97941,0.21602),
c(0.69525,0.97610,0.21294),
c(0.70553,0.97255,0.21032),
c(0.71577,0.96875,0.20815),
c(0.72596,0.96470,0.20640),
c(0.73610,0.96043,0.20504),
c(0.74617,0.95593,0.20406),
c(0.75617,0.95121,0.20343),
c(0.76608,0.94627,0.20311),
c(0.77591,0.94113,0.20310),
c(0.78563,0.93579,0.20336),
c(0.79524,0.93025,0.20386),
c(0.80473,0.92452,0.20459),
c(0.81410,0.91861,0.20552),
c(0.82333,0.91253,0.20663),
c(0.83241,0.90627,0.20788),
c(0.84133,0.89986,0.20926),
c(0.85010,0.89328,0.21074),
c(0.85868,0.88655,0.21230),
c(0.86709,0.87968,0.21391),
c(0.87530,0.87267,0.21555),
c(0.88331,0.86553,0.21719),
c(0.89112,0.85826,0.21880),
c(0.89870,0.85087,0.22038),
c(0.90605,0.84337,0.22188),
c(0.91317,0.83576,0.22328),
c(0.92004,0.82806,0.22456),
c(0.92666,0.82025,0.22570),
c(0.93301,0.81236,0.22667),
c(0.93909,0.80439,0.22744),
c(0.94489,0.79634,0.22800),
c(0.95039,0.78823,0.22831),
c(0.95560,0.78005,0.22836),
c(0.96049,0.77181,0.22811),
c(0.96507,0.76352,0.22754),
c(0.96931,0.75519,0.22663),
c(0.97323,0.74682,0.22536),
c(0.97679,0.73842,0.22369),
c(0.98000,0.73000,0.22161),
c(0.98289,0.72140,0.21918),
c(0.98549,0.71250,0.21650),
c(0.98781,0.70330,0.21358),
c(0.98986,0.69382,0.21043),
c(0.99163,0.68408,0.20706),
c(0.99314,0.67408,0.20348),
c(0.99438,0.66386,0.19971),
c(0.99535,0.65341,0.19577),
c(0.99607,0.64277,0.19165),
c(0.99654,0.63193,0.18738),
c(0.99675,0.62093,0.18297),
c(0.99672,0.60977,0.17842),
c(0.99644,0.59846,0.17376),
c(0.99593,0.58703,0.16899),
c(0.99517,0.57549,0.16412),
c(0.99419,0.56386,0.15918),
c(0.99297,0.55214,0.15417),
c(0.99153,0.54036,0.14910),
c(0.98987,0.52854,0.14398),
c(0.98799,0.51667,0.13883),
c(0.98590,0.50479,0.13367),
c(0.98360,0.49291,0.12849),
c(0.98108,0.48104,0.12332),
c(0.97837,0.46920,0.11817),
c(0.97545,0.45740,0.11305),
c(0.97234,0.44565,0.10797),
c(0.96904,0.43399,0.10294),
c(0.96555,0.42241,0.09798),
c(0.96187,0.41093,0.09310),
c(0.95801,0.39958,0.08831),
c(0.95398,0.38836,0.08362),
c(0.94977,0.37729,0.07905),
c(0.94538,0.36638,0.07461),
c(0.94084,0.35566,0.07031),
c(0.93612,0.34513,0.06616),
c(0.93125,0.33482,0.06218),
c(0.92623,0.32473,0.05837),
c(0.92105,0.31489,0.05475),
c(0.91572,0.30530,0.05134),
c(0.91024,0.29599,0.04814),
c(0.90463,0.28696,0.04516),
c(0.89888,0.27824,0.04243),
c(0.89298,0.26981,0.03993),
c(0.88691,0.26152,0.03753),
c(0.88066,0.25334,0.03521),
c(0.87422,0.24526,0.03297),
c(0.86760,0.23730,0.03082),
c(0.86079,0.22945,0.02875),
c(0.85380,0.22170,0.02677),
c(0.84662,0.21407,0.02487),
c(0.83926,0.20654,0.02305),
c(0.83172,0.19912,0.02131),
c(0.82399,0.19182,0.01966),
c(0.81608,0.18462,0.01809),
c(0.80799,0.17753,0.01660),
c(0.79971,0.17055,0.01520),
c(0.79125,0.16368,0.01387),
c(0.78260,0.15693,0.01264),
c(0.77377,0.15028,0.01148),
c(0.76476,0.14374,0.01041),
c(0.75556,0.13731,0.00942),
c(0.74617,0.13098,0.00851),
c(0.73661,0.12477,0.00769),
c(0.72686,0.11867,0.00695),
c(0.71692,0.11268,0.00629),
c(0.70680,0.10680,0.00571),
c(0.69650,0.10102,0.00522),
c(0.68602,0.09536,0.00481),
c(0.67535,0.08980,0.00449),
c(0.66449,0.08436,0.00424),
c(0.65345,0.07902,0.00408),
c(0.64223,0.07380,0.00401),
c(0.63082,0.06868,0.00401),
c(0.61923,0.06367,0.00410),
c(0.60746,0.05878,0.00427),
c(0.59550,0.05399,0.00453),
c(0.58336,0.04931,0.00486),
c(0.57103,0.04474,0.00529),
c(0.55852,0.04028,0.00579),
c(0.54583,0.03593,0.00638),
c(0.53295,0.03169,0.00705),
c(0.51989,0.02756,0.00780),
c(0.50664,0.02354,0.00863),
c(0.49321,0.01963,0.00955),
c(0.47960,0.01583,0.01055)), ncol = 3, byrow = T)

hex_colors<-rgb(turbo_colormap_data[,1],turbo_colormap_data[,2],turbo_colormap_data[,3], maxColorValue = 1)

p<-ggplot(faithfuld, aes(waiting, eruptions))  +  geom_raster(aes(fill = density))+theme(legend.position = 'none')

{p+ggtitle('Viridis')+
{p+ggtitle('Turbo')+scale_fill_gradientn(colors = hex_colors)}}/
{{p+scale_fill_viridis(option = 'inferno')+ggtitle('Inferno')}+
{p+scale_fill_colormap(colormap = colormaps$jet)+ggtitle('Jet')}}