Package: colorist 0.1.3

colorist: Coloring Wildlife Distributions in Space-Time

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.

Authors:Justin Schuetz [aut], Matthew Strimas-Mackey [aut, cre], Tom Auer [aut]

colorist_0.1.3.tar.gz
colorist_0.1.3.zip(r-4.7)colorist_0.1.3.zip(r-4.6)colorist_0.1.3.zip(r-4.5)
colorist_0.1.3.tgz(r-4.6-any)colorist_0.1.3.tgz(r-4.5-any)
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colorist_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
colorist/json (API)

# Install 'colorist' in R:
install.packages('colorist', repos = c('https://mstrimas.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mstrimas/colorist/issues

Datasets:
  • elephant_ud - African Elephant utilization distributions
  • fiespa_occ - EBird Status & Trends Field Sparrow occurrence probability
  • fisher_ud - Fisher utilization distributions

On CRAN:

Conda:

5.83 score 16 stars 28 scripts 665 downloads 11 exports 35 dependencies

Last updated from:e859ad1e11. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK264
source / vignettesOK250
linux-release-x86_64OK236
macos-release-arm64OK142
macos-oldrel-arm64OK123
windows-develOK197
windows-releaseOK191
windows-oldrelOK190
wasm-releaseOK165

Exports:%>%legend_setlegend_timecyclelegend_timelinemap_multiplesmap_singlemetrics_distillmetrics_pullpalette_setpalette_timecyclepalette_timeline

Dependencies:clicolorspacecpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrpillarpkgconfigpurrrR6rasterRColorBrewerRcpprlangS7scalesspstringistringrterratibbletidyrtidyselectutf8vctrsviridisLitewithr

Introduction to colorist
Usage | Examples | 1. Map a species distribution across the annual cycle | 2. Map individual behavior over time | 3. Map distributions of multiple individuals during the same time period
Rendered fromintroduction.Rmdusingknitr::rmarkdown

Last update: 2024-04-29
Started: 2020-03-28

Customizing maps in colorist
1. Adding context | rnaturalearth package | tigris package | General comments | 2. Modifying legends | legend_timecyle() | legend_timeline() | legend_set() | 3. Displaying colorist maps in other software | raster package | QGIS
Rendered frommapping.Rmdusingknitr::rmarkdown

Last update: 2024-04-29
Started: 2020-10-13

Tuning visualizations in colorist
1. Change how layers are represented by hues | Map monthly distributions of a species in the southern hemisphere | Map space use by individual animals using relevant hues | 2. Change the relationship between intensity and opacity | describe modulus function | create data for plotting | plot data describing effects of adjustments to lambda | Emphasize specific locations that are essential to an individual animal | 3. Change the relationship between specificity and chroma | get colors from palette and edit | plot data describing effects of adjustments to lambda_s | Emphasize timing of peak occurrence for a seasonal migrant
Rendered fromtuning.Rmdusingknitr::rmarkdown

Last update: 2024-04-29
Started: 2020-08-12