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assignR

Basic

Data and tools supporting geographic assignment of materials based on their isotopic chemistry. Isoscapes (environmental isotope maps) can be generated externally or defaults (d2h_world.rda, d18o_world.rda) are provided in the package. Data from samples of known origin are used to calibrate the relationship between isoscape and sample values, and can be provided by the user or extracted from the package database (knownOrig.rda). Database data or user-provided known-origin or unknown origin sample data can be transformed among different H and O isotope reference scales to improve comparability (refTrans). Functions (calRaster, pdRaster) support calibrating the isoscape and inverting Bayes theorem to estimate the probability of origin for unknown samples across a geographic study domain. Functions (QA, plot.QA) allow quality assessment of assignment results and comparison of methods using split-sample tests and known origin data. Functions (oddsRatio, qtlRaster, jointP, unionP) support post-hoc classification of results, summarization of results from multiple samples, and comparison of support for different locations.

For current production release, see the vignette here and install from CRAN.

For examples demonstrating functions in the latest development release, see https://spatial-lab.github.io/assignR/.

Install and load latest CRAN release

install.packages("assignR")
library(assignR)

Package contents

Datasets

d2h_world.rda - Global growing season precipitation H isoscape from waterisotopes.org, including predicted mean and 95% confidence interval width

d2h_lrNA.rda - Low-resolution, North American crop of d2h_world.rda, used in examples.

d18o_world.rda - Global growing season precipitation O isoscape from waterisotopes.org, including predicted mean and 95% confidence interval width

knownOrig.rda - Hydrogen and oxygen isotope values of known-origin samples including human hair, insect chitin and bird feathers, with location information (currently 4218 samples)

stds.rda - Information on reference scales used to report data from different labs, useful for converting between scales

naMap.rda - North America outline

states.rda - 48 contiguous United States

Functions

subOrigData - Subset the known-origin stable isotope dataset included in this package

refTrans - Transform data among reference scales

calRaster - Transform environmental isoscape to tissue isoscape

pdRaster - Assign sample to calibrated tissue isoscape based on tissue isotopic composition

qtlRaster - Select most likely region of origin from posterior probability surface (by cumulative percent area probability)

jointP - Calculate joint probability for individuals of common origin (product of probabilities)

unionP - Calculate probability that at least one individual came from each map location (union of probabilities)

oddsRatio - Calculate ratio of odds for two locations or areas (points or polygons)

QA - Quality analysis of geographic assignment

plot.QA - Plot results of one or more quality analyses from QA function

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Version

Install

install.packages('assignR')

Monthly Downloads

580

Version

2.0.0

License

GPL-3

Maintainer

Gabe Bowen

Last Published

January 10th, 2021

Functions in assignR (2.0.0)

jointP

Joint probability of origin
oddsRatio

Odds ratio of points or regions
QA

Quality assessment of geographic assignments
naMap

data: naMap
d18o_world

data: global growing season O isoscape
d2h_lrNA

data: low resolution North American growing season H isoscape
calRaster

Rescale isoscape using linear regression
assignR

Tools for inferring geographic origin from isotopic data
knownOrig

data: database of H and O isotope data for tissues of known origin
qtlRaster

Sample assignment using thresholds
d2h_world

data: global growing season H isoscape
subOrigData

Extract known origin sample data
unionP

Union probability of origin
states

data: states
stds

data: documentation of keratin H and O isotope standard calibrations
plot.QA

Plot quality metrics for geographic assignments
pdRaster

Probability of origin surfaces
refTrans

Transform reference scale of data