Temporally autocorrelated populations are correlated in their vital rates (growth, death, etc.) from year to year. It is very common for populations, whether they be bacteria, plants, or humans, to be temporally autocorrelated. This poses a challenge for stochastic population modeling, because a temporally correlated population will behave differently from an uncorrelated one.
This package provides tools for simulating populations with white noise (no temporal autocorrelation), red noise (positive temporal autocorrelation), and blue noise (negative temporal autocorrelation).  The algebraic formulation for autocorrelated noise comes from Ruokolainen et al. (2009) <doi:10.1016/j.tree.2009.04.009>. Models for unstructured populations and for structured populations (matrix models) are available.

c(
person("Julia", "Pilowsky", email = "jap2178@caa.columbia.edu",
role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6376-2585")
))
Julia Pilowsky [aut, cre] (<https://orcid.org/0000-0002-6376-2585>)

Extract Colors from Windows BMP, JPEG, PNG, TIFF, and SVG Format
Images
Extracts colors from various image types, returns customized reports and plots treemaps
of image compositions. Selected colors and color ranges can be excluded from the analysis.
purrr, stringr, pixmap, tibble, treemap, rsvg, png, jpeg,
tiff, bmp

Extracts colors from various image types, returns customized reports and plots treemaps
and 3D scatterplots of image compositions. Selected colors and color ranges can be excluded from
the analysis.
purrr, stringr, pixmap, tibble, treemap, rsvg, png, jpeg,
tiff, bmp, dplyr, plotly, magrittr, plotwidgets

Extracts colors from various image types, returns customized reports and plots treemaps
and 3D scatterplots of image compositions. Color palettes can also be created.

Plot and add custom coloring to Venn diagram for 3-dimensional
data.
Given 3-dimensional data, it computes a vector of length 7
describing all but one variations of grouping all 3 dimension.
It then plots up Venn diagram, i.e. 'crossing circles'. The
user is able to specify values, labels for each circle-group
and colors. Here is what it would look like:
http://elliotnoma.files.wordpress.com/2011/02/venndiagram.png