Perform common calculations based on published stable isotope theory, such as calculating carbon isotope discrimination and intrinsic water use efficiency from wood or leaf carbon isotope composition.

Perform common calculations based on published stable isotope theory, such as calculating carbon isotope discrimination and intrinsic water use efficiency from wood or leaf carbon isotope composition. See Farquhar, O'Leary, and Berry (1982) <doi:10.1071/PP9820121>.

rmarkdown, knitr, testthat (>= 3.0.0), ggplot2, tidyr, dplyr

person("Caitlin", "Campbell", email = "caitjcampbell@gmail.com",
role = c("aut", "cre"))
This resource provides tools to create, compare, and post-process
spatial isotope assignment models of animal origin. It generates
probability-of-origin maps for individuals based on user-provided tissue and
environment isotope values (e.g., as generated by IsoMAP, Bowen [2010]
<doi:10.1111/2041-210X.12147>) using the framework established in Bowen
(2014) <doi:10.1111/2041-210X.12147>. The package 'isocat' can then
quantitatively compare and cluster these maps to group individuals by
similar origin. It also includes techniques for applying four approaches
(cumulative sum, odds ratio, quantile only, and quantile simulation) with
which users can summarize geographic origins and probable distance traveled
by individuals.
stats, plyr, dplyr, sp, magrittr, foreach
dendextend, doParallel, ggplot2, gridExtra, kableExtra,
knitr, parallel, purrr, pvclust, rmarkdown, rasterVis,
viridisLite

Isotope Origin Clustering and Assignment Tools
dendextend, doParallel, ggplot2, gridExtra, kableExtra,
knitr, parallel, pvclust, rmarkdown, rasterVis, viridisLite

dendextend, doParallel, dplyr, ggplot2, gridExtra,
kableExtra, knitr, parallel, pvclust, rmarkdown, rasterVis,
viridisLite

person(
"Caitlin", "Campbell",
email = "caitjcampbell@gmail.com",
comment = c(ORCID = "0000-0002-8199-7775"),
role = c("aut", "cre")
)
This resource provides tools to create, compare, and post-process
spatial isotope assignment models of animal origin. It generates
probability-of-origin maps for individuals based on user-provided tissue and
environment isotope values (e.g., as generated by IsoMAP, Bowen et al. [2013]
<doi:10.1111/2041-210X.12147>) using the framework established in Bowen et al.
(2010) <doi:10.1146/annurev-earth-040809-152429>). The package 'isocat' can then
quantitatively compare and cluster these maps to group individuals by
similar origin. It also includes techniques for applying four approaches
(cumulative sum, odds ratio, quantile only, and quantile simulation) with
which users can summarize geographic origins and probable distance traveled
by individuals. Campbell et al. [2020] establishes several of the functions
included in this package <doi:10.1515/ami-2020-0004>.
Caitlin Campbell [aut, cre] (<https://orcid.org/0000-0002-8199-7775>)