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colorist  

Coloring Wildlife Distributions in Space-Time
View on CRAN: Click here


Download and install colorist package within the R console
Install from CRAN:
install.packages("colorist")

Install from Github:
library("remotes")
install_github("cran/colorist")

Install by package version:
library("remotes")
install_version("colorist", "0.1.3")



Attach the package and use:
library("colorist")
Maintained by
Matthew Strimas-Mackey
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-26
Latest Update: 2024-04-29
Description:
Color and visualize wildlife distributions in space-time using raster data. In addition to enabling display of sequential change in distributions through the use of small multiples, 'colorist' provides functions for extracting several features of interest from a sequence of distributions and for visualizing those features using HCL (hue-chroma-luminance) color palettes. Resulting maps allow for "fair" visual comparison of intensity values (e.g., occurrence, abundance, or density) across space and time and can be used to address questions about where, when, and how consistently a species, group, or individual is likely to be found.
How to cite:
Matthew Strimas-Mackey (2020). colorist: Coloring Wildlife Distributions in Space-Time. R package version 0.1.3, https://cran.r-project.org/web/packages/colorist. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1.0 (2020-03-26 17:00), 0.1.1 (2020-08-13 21:20), 0.1.2 (2020-11-23 21:10)
Other packages that cited colorist R package
View colorist citation profile
Other R packages that colorist depends, imports, suggests or enhances
Complete documentation for colorist
Functions, R codes and Examples using the colorist R package
Some associated functions: colorist-package . elephant_ud . fiespa_occ . fisher_ud . legend_set . legend_timecycle . legend_timeline . map_multiples . map_single . metrics_distill . metrics_pull . palette_set . palette_timecycle . palette_timeline . pipe . 
Some associated R codes: colorist-package.R . data.R . legend.R . map.R . metrics.R . palette.R . utils-pipe.R .  Full colorist package functions and examples
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