# Fabio Crameri’s Color Schemes

## N. Frerebeau

### 2025-09-29

    library(khroma)

## 1 Introduction

Crameri (2018) offers carefully chosen schemes, ready for mapping data, with colors that are:

- Perceptually uniform,
- Perceptually ordered,
- Color vision deficiency friendly,
- Readable as black and white print,
- Citable & reproducible.

All the scales presented in Crameri (2023) are implemented here, for use with base R graphics, ggplot2 and ggraph.

## 2 Diverging data

### 2.1 bam

    bam <- color("bam")
    plot(bam(256))

plot of chunk crameri_div_bam

### 2.2 berlin

    berlin <- color("berlin")
    plot(berlin(256))

plot of chunk crameri_div_berlin

### 2.3 broc

    broc <- color("broc")
    plot(broc(256))

plot of chunk crameri_div_broc

### 2.4 cork

    cork <- color("cork")
    plot(cork(256))

plot of chunk crameri_div_cork

### 2.5 lisbon

    lisbon <- color("lisbon")
    plot(lisbon(256))

plot of chunk crameri_div_lisbon

### 2.6 managua

    managua <- color("managua")
    plot(managua(256))

plot of chunk crameri_seq_managua

### 2.7 roma

    roma <- color("roma")
    plot(roma(256))

plot of chunk crameri_div_roma

### 2.8 tofino

    tofino <- color("tofino")
    plot(tofino(256))

plot of chunk crameri_div_tofino

### 2.9 vanimo

    vanimo <- color("vanimo")
    plot(vanimo(256))

plot of chunk crameri_div_vanimo

### 2.10 vik

    vik <- color("vik")
    plot(vik(256))

plot of chunk crameri_div_vik

## 3 Sequential data

### 3.1 acton

    acton <- color("acton")
    plot(acton(256))

plot of chunk crameri_seq_acton

### 3.2 bamako

    bamako <- color("bamako")
    plot(bamako(256))

plot of chunk crameri_seq_bamako

### 3.3 batlow

    batlow <- color("batlow")
    plot(batlow(256))

plot of chunk crameri_seq_batlow

### 3.4 batlowW

    batlowW <- color("batlowW")
    plot(batlowW(256))

plot of chunk crameri_seq_batlowW

### 3.5 batlowK

    batlowK <- color("batlowK")
    plot(batlowK(256))

plot of chunk crameri_seq_batlowK

### 3.6 bilbao

    bilbao <- color("bilbao")
    plot(bilbao(256))

plot of chunk crameri_seq_bilbao

### 3.7 buda

    buda <- color("buda")
    plot(buda(256))

plot of chunk crameri_seq_buda

### 3.8 davos

    davos <- color("davos")
    plot(davos(256))

plot of chunk crameri_seq_davos

### 3.9 devon

    devon <- color("devon")
    plot(devon(256))

plot of chunk crameri_seq_devon

### 3.10 glasgow

    glasgow <- color("glasgow")
    plot(glasgow(256))

plot of chunk crameri_seq_glasgow

### 3.11 grayC

    grayC <- color("grayC")
    plot(grayC(256))

plot of chunk crameri_seq_grayC

### 3.12 hawaii

    hawaii <- color("hawaii")
    plot(hawaii(256))

plot of chunk crameri_seq_hawaii

### 3.13 imola

    imola <- color("imola")
    plot(imola(256))

plot of chunk crameri_seq_imola

### 3.14 lajolla

    lajolla <- color("lajolla")
    plot(lajolla(256))

plot of chunk crameri_seq_lajolla

### 3.15 lapaz

    lapaz <- color("lapaz")
    plot(lapaz(256))

plot of chunk crameri_seq_lapaz

### 3.16 lipari

    lipari <- color("lipari")
    plot(lipari(256))

plot of chunk crameri_seq_lipari

### 3.17 navia

    navia <- color("navia")
    plot(navia(256))

plot of chunk crameri_seq_navia

### 3.18 naviaW

    naviaW <- color("naviaW")
    plot(naviaW(256))

plot of chunk crameri_seq_naviaW

### 3.19 nuuk

    nuuk <- color("nuuk")
    plot(nuuk(256))

plot of chunk crameri_seq_nuuk

### 3.20 oslo

    oslo <- color("oslo")
    plot(oslo(256))

plot of chunk crameri_seq_oslo

### 3.21 tokyo

    tokyo <- color("tokyo")
    plot(tokyo(256))

plot of chunk crameri_seq_tokyo

### 3.22 turku

    turku <- color("turku")
    plot(turku(256))

plot of chunk crameri_seq_turku

## 4 Multi-sequential data

### 4.1 bukavu

    bukavu <- color("bukavu")
    plot(bukavu(256))

plot of chunk crameri_seq_bukavu

### 4.2 fes

    fes <- color("fes")
    plot(fes(256))

plot of chunk crameri_seq_fes

### 4.3 oleron

    oleron <- color("oleron")
    plot(oleron(256))

plot of chunk crameri_seq_oleron

## 5 References

Crameri, F. 2018. “Geodynamic Diagnostics, Scientific Visualisation and StagLab 3.0.” Geoscientific Model Development 11 (6): 2541-2562. DOI: 10.5194/gmd-11-2541-2018.

Crameri, F. 2023. Scientific Colour Maps (version 8.0.1). Zenodo. DOI: 10.5281/zenodo.1243862.