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calecopal: a California-inspired package of color palettes.

Code from Karthik Ram's wesanderson package, linked here. Palettes compiled by A. Bui, H. Lowman, and A.S. Guerra. Pictures were taken from image search/personal collections, and colors were generated using Canva and imagecolorpicker.

Installation

devtools::install_github("an-bui/calecopal")

Updates

September 2020: 23 new palettes!

Redwoods

Organisms!

Calochortus catalinae

<p align="center"> <img src="/figures/calochortus_pic.png" height="60%" width="60%"> </p>

Usage

library(calecopal)

# all palettes
names(cal_palettes)

Palettes

More coming soon!

Chaparral

Superbloom

Big Sur

Building palettes

You can use the cal_palette() function to create your own palettes to fit your needs. For example:

cal_palette(name = "desert", n = 15, type = "continuous")
<p align="center"> <img src="/figures/desert_pal.jpeg" height="60%" width="60%"> </p>
cal_palette("sierra1", n = 50, type = "continuous")
<p align="center"> <img src="/figures/sierra1_pal.jpeg" height="60%" width="60%"> </p>

Example plots

library(tidyverse)

ggplot(chickwts %>%
           group_by(feed) %>%
           summarize(av = mean(weight),
                     total = length(weight)) %>%
           filter(feed != "casein"),
         aes(x = feed, y = av, fill = feed)) +
    geom_col() +
    scale_fill_manual(values = cal_palette("sierra1")) +
    theme_bw()
<p align="center"> <img src="/figures/sierra1_example.jpeg" height="60%" width="60%"> </p>
ggplot(chickwts, aes(x = feed, y = weight, color = feed)) +
    geom_jitter(aes(color = feed), alpha = 0.8, width = 0.3, size = 2) +
    geom_boxplot(alpha = 0.2) +
    scale_color_manual(values = cal_palette("kelp1")) +
    theme_bw()
<p align="center"> <img src="/figures/kelp1_plot.jpeg" height="60%" width="60%"> </p>

As seen in

chaparral1: Orr et al. Rangeland Ecology and Management 2022.

Orr et al. Rangeland Ecology and Management 2022. "Grazing Intensity Effects on Fire Ignition Risk and Spread in Sagebrush Steppe." https://doi.org/10.1016/j.rama.2022.08.004.

<p align="center"> <img src="/figures/orr-rem.jpg" height="70%" width="70%"> </p>

superbloom3: Miles et al. Ecosphere 2022.

Miles et al. Ecosphere 2022. "Effects of urbanization on specialist insect communities of milkweed are mediated by spatial and temporal variation." https://doi.org/10.1002/ecs2.4222.

<p align="center"> <img src="/figures/miles-ecosphere.jpeg" height="70%" width="70%"> </p>

kelp1: Miller-ter Kuile et al. Ecology 2022.

"Predator–prey interactions of terrestrial invertebrates are determined by predator body size and species identity." https://doi.org/10.1002/ecy.3634.

<p align="center"> <img src="/figures/miller-ter-kuile-ecology.jpeg" height="70%" width="70%"> </p>

superbloom1: Apigo and Oono. Ecosphere 2022.

Apigo and Oono. Ecosphere 2022. "Plant abundance, but not plant evolutionary history, shapes patterns of host specificity in foliar fungal endophytes." https://doi.org/10.1002/ecs2.3879.

<p align="center"> <img src="/figures/apigo-ecosphere.jpeg" height="70%" width="70%"> </p>