rbacon (version 2.4.2)

Bacon: Main age-depth modelling function

Description

This is the main age-depth modelling function of the rbacon package.

Usage

Bacon(
  core = "MSB2K",
  thick = 5,
  coredir = "",
  prob = 0.95,
  d.min = NA,
  d.max = NA,
  d.by = 1,
  seed = NA,
  depths.file = FALSE,
  depths = c(),
  depth.unit = "cm",
  age.unit = "yr",
  unit = depth.unit,
  acc.shape = 1.5,
  acc.mean = 20,
  mem.strength = 4,
  mem.mean = 0.7,
  boundary = NA,
  hiatus.depths = NA,
  hiatus.max = 10000,
  add = c(),
  after = 1e-04/thick,
  cc = 1,
  cc1 = "IntCal13",
  cc2 = "Marine13",
  cc3 = "SHCal13",
  cc4 = "ConstCal",
  ccdir = "",
  postbomb = 0,
  delta.R = 0,
  delta.STD = 0,
  t.a = 3,
  t.b = 4,
  normal = FALSE,
  suggest = TRUE,
  reswarn = c(10, 200),
  remember = TRUE,
  ask = TRUE,
  run = TRUE,
  defaults = "defaultBacon_settings.txt",
  sep = ",",
  dec = ".",
  runname = "",
  slump = c(),
  BCAD = FALSE,
  ssize = 2000,
  th0 = c(),
  burnin = min(500, ssize),
  MinAge = c(),
  MaxAge = c(),
  MinYr = MinAge,
  MaxYr = MaxAge,
  cutoff = 0.001,
  plot.pdf = TRUE,
  dark = 1,
  date.res = 100,
  age.res = 200,
  yr.res = age.res,
  close.connections = TRUE,
  verbose = TRUE,
  ...
)

Arguments

core

Name of the core, given using quotes. Defaults to one of the cores provided with rbacon, core="MSB2K". An alternative core provided with this package is RLGH3 (Jones et al., 1989). To run your own core, produce a .csv file with the dates as outlined in the manual, add a folder with the core's name to the default directory for cores (see coredir), and save the .csv file there. For example, the file's location and name could be Bacon_runs/MyCore/MyCore.csv. Then run Bacon as follows: Bacon("MyCore")

thick

Bacon will divide the core into sections of equal thickness specified by thick (default thick=5).

coredir

Folder where the core's files core are and/or will be located. This will be a folder with the core's name, within either the folder coredir='Bacon_runs/', or the folder Cores/ if it already exists within R's working directory, or a custom-built folder. For example, use coredir="." to place the core's folder within the current working directory, or coredir="F:" if you want to put the core's folder and files on a USB drive loaded under F:. Thinner (and thus more) sections will result in smoother age-models, but too many sections can cause `run-away' models.

prob

Confidence interval to report. This should lie between 0 and 1, default 0.95 (95 %).

d.min

Minimum depth of age-depth model (use this to extrapolate to depths higher than the top dated depth).

d.max

Maximum depth of age-depth model (use this to extrapolate to depths below the bottom dated depth).

d.by

Depth intervals at which ages are calculated. Defaults to d.by=1.

seed

Seed used for C++ executions, if it is not assigned then the seed is set by system.

depths.file

By default, Bacon will calculate the ages for the depths d.min to d.max in steps of d.by. If depths.file=TRUE, Bacon will read a file containing the depths for which you require ages. This file, containing the depths in a single column without a header, should be stored within coredir, and its name should start with the core's name and end with `_depths.txt'. Then specify depths.file=TRUE (default FALSE). See also depths.

depths

By default, Bacon will calculate the ages for the depths d.min to d.max in steps of d.by. Alternative depths can be provided as, e.g., depths=seq(0, 100, length=500) or as a file, e.g., depths=read.table("CoreDepths.txt". See also depths.file.

depth.unit

Units of the depths. Defaults to depth.unit="cm".

age.unit

Units of the ages. Defaults to age.unit="yr".

unit

Deprecated and replaced by depth.unit.

acc.shape

The prior for the accumulation rate consists of a gamma distribution with two parameters. Its shape is set by acc.shape (default acc.shape=1.5; higher values result in more peaked shapes).

acc.mean

The accumulation rate prior consists of a gamma distribution with two parameters. Its mean is set by acc.mean (default acc.mean=20 yr/cm (or whatever age or depth units are chosen), which can be changed to, e.g., 5, 10 or 50 for different kinds of deposits). Multiple values can be given in case of hiatuses or boundaries, e.g., Bacon(hiatus.depths=23, acc.mean=c(5,20))

mem.strength

The prior for the memory (dependence of accumulation rate between neighbouring depths) is a beta distribution, which looks much like the gamma distribution. but its values are always between 0 (no assumed memory) and 1 (100% memory). Its default settings of mem.strength=4 (higher values result in more peaked shapes) allow for a large range of posterior memory values.

mem.mean

The prior for the memory is a beta distribution, which looks much like the gamma distribution but its values are always between 0 (no assumed memory) and 1 (100% memory). Its default settings of mem.mean=0.7 allow for a large range of posterior memory values.

boundary

The assumed depths of any boundary, which divides sections of different accumulation rate regimes (e.g., as indicated by major change in the stratigraphy). No hiatus is assumed between these sections, and memory is reset crossing the boundary. Different accumulation priors can be set for the sections above and below the boundary, e.g., acc.mean=c(5, 20). See also hiatus.depths, mem.mean, acc.mean and acc.shape. Setting many boundaries might not work, and having more than one boundary per model section (see 'thick') might not work either.

hiatus.depths

The assumed depths for any hiatus should be provided as, e.g., hiatus.depths=20 for one at 20cm depth, and hiatus.depths=c(20,40) for two hiatuses at 20 and 40 cm depth.

hiatus.max

The prior for the maximum length of the hiatus. Hiatus length is a uniform distribution, with equal probabilities between 0 and hiatus.max yr (or whatever other age.unit is chosen).

add

Add a value to the maximum hiatus length if a boundary is chosen. Defaults to 100 yr (or whatever other age unit is chosen). Can be adapted if Bacon complains that the parameters are out of support.

after

Sets a short section above and below hiatus.depths within which to calculate ages. For internal calculations - do not change.

cc

Calibration curve for C-14 dates: cc=1 for IntCal13 (northern hemisphere terrestrial), cc=2 for Marine13 (marine), cc=3 for SHCal13 (southern hemisphere terrestrial). For dates that are already on the cal BP scale use cc=0.

cc1

For northern hemisphere terrestrial 14C dates (IntCal13).

cc2

For marine 14C dates (Marine13).

cc3

For southern hemisphere 14C dates (SHCal13).

cc4

Use an alternative curve (3 columns: cal BP, 14C age, error, separated by white spaces and saved as a plain-text file). See ccdir.

ccdir

Directory where the calibration curves for C14 dates cc are located. By default ccdir="" since they are loaded into R's memory. For example, use ccdir="." to choose current working directory, or ccdir="Curves/" to choose sub-folder Curves/. Note that all calibration curves should reside in the same directory. If you want to add a custom-built curve, put it in the directory where the default calibration curves are (probably list.files(paste0(.libPaths(), "/rbacon/extdata/Curves/"))). Alternatively produce a new folder, and add your curve as well as the default calibration curves there (cc1, cc2 and cc3; e.g., write.table(copyCalibrationCurve(1), "./3Col_intcal13.14C", sep="\t").)

postbomb

Use a postbomb curve for negative (i.e. postbomb) 14C ages. 0 = none, 1 = NH1, 2 = NH2, 3 = NH3, 4 = SH1-2, 5 = SH3

delta.R

Mean of core-wide age offsets (e.g., regional marine offsets).

delta.STD

Error of core-wide age offsets (e.g., regional marine offsets).

t.a

The dates are treated using the student's t distribution by default (normal=FALSE). The student's t-distribution has two parameters, t.a and t.b, set at 3 and 4 by default (see Christen and Perez, 2010). If you want to assign narrower error distributions (more closely resembling the normal distribution), set t.a and t.b at for example 33 and 34 respectively (e.g., for specific dates in your .csv file). For symmetry reasons, t.a must always be equal to t.b-1.

t.b

The dates are treated using the student's t distribution by default (normal=FALSE). The student's t-distribution has two parameters, t.a and t.b, set at 3 and 4 by default (see Christen and Perez, 2010). If you want to assign narrower error distributions (more closely resembling the normal distribution), set t.a and t.b at for example 33 and 34 respectively (e.g., for specific dates in your .csv file). For symmetry reasons, t.a must always be equal to t.b-1.

normal

By default, Bacon uses the student's t-distribution to treat the dates. Use normal=TRUE to use the normal/Gaussian distribution. This will generally give higher weight to the dates.

suggest

If initial analysis of the data indicates abnormally slow or fast accumulation rates, Bacon will suggest to change the prior. Also, if the length of the core would cause too few or too many sections with the default settings, Bacon will suggest an alternative section thickness thick. Accept these suggested alternative settings by typing "y" (or "yes please" if you prefer to be polite), or leave as is by typing "n" (or anything else, really). To get rid of these suggestions, use suggest=FALSE.

reswarn

Bacon will warn you if the number of sections lies outside the safe range (default between 10 and 200 sections; reswarn=c(10,200)). Too few sections could lead to an `elbowy' model while with too many sections the modelling process can get lost, resulting in age-models far away from the dated depths.

remember

Bacon will try to remember which settings you have applied to your cores (default remember=TRUE). If you run into inconsistencies or other problems, try running your core again with remember=FALSE, or, start cleanly by typing Bacon.cleanup().

ask

By default Bacon will ask you to confirm that you want to run the core with the provided settings. Disable this using ask=FALSE (e.g., for batch runs).

run

In order to load an existing Bacon run instead of producing a new one, you can use run=FALSE.

defaults

Name of the file containing settings for the core. For internal use only - do not change.

sep

Separator between the fields of the plain text file containing the dating information. Default sep=",".

dec

Character for decimal points. Default to dec=".".

runname

Text to add to the corename for specific runs, e.g., runname="MyCore_Test1".

slump

Upper and lower depths of any sections of assumed abrupt accumulation, that require excising before age-modelling (and adding after age-modelling). Requires pairs of depths, e.g., slump=c(10,15,60,67) for slumps at 67-60 and 15-10 cm core depth.

BCAD

The calendar scale of graphs and age output-files is in cal BP (calendar or calibrated years before the present, where the present is AD 1950) by default, but can be changed to BC/AD using BCAD=TRUE.

ssize

The approximate amount of iterations to store at the end of the MCMC run. Default 2000; decrease for faster (but less reliable) runs or increase for cores where the MCMC mixing (panel at upper-left corner of age-model graph) appears problematic.

th0

Starting years for the MCMC iterations.

burnin

Amount of initial, likely sub-optimal MCMC iterations that will be removed.

MinAge

Minimum age limit for Bacon runs, default at current year in cal BP. To set plot limits, use yr.min instead.

MaxAge

Maximum age limit for Bacon runs, default at 1,000,000 cal BP. To set plot limits, use yr.max instead.

MinYr

Deprecated - use MinAge instead.

MaxYr

Deprecated - use MaxAge instead.

cutoff

Avoid plotting very low probabilities of date distributions (default cutoff=0.001).

plot.pdf

Produce a pdf file of the age-depth plot. Defaults to plot.pdf=TRUE after a Bacon run.

dark

Darkness of the greyscale age-depth model. The darkest grey value is dark=1 by default. Lower values will result in lighter grey but values >1 are not allowed.

date.res

Date distributions are plotted using date.res=100 segments by default.

age.res

Resolution or amount of greyscale pixels to cover the age scale of the age-model plot. Default yr.res=200.

yr.res

Deprecated - use age.res instead

close.connections

Internal option to close connections after a run. Default close.connections=TRUE.

verbose

Provide feedback on what is happening (default verbose=TRUE).

...

options for the age-depth graph. See agedepth and calib.plot

Value

An age-depth model graph, its age estimates, and a summary.

Details

Bacon is an approach to age-depth modelling that uses Bayesian statistics in order to reconstruct Bayesian accumulation histories for deposits, through combining radiocarbon and other dates with prior information ('Blaauw' and 'Christen', 2011).

Bacon divides a core into many thin vertical sections (by default of thick=5 cm thickness), and through millions of Markov Chain Monte Carlo (MCMC) iterations estimates the accumulation rate (in years/cm; so more correctly, sedimentation times) for each of these sections. Combined with an estimated starting date for the first section, these accumulation rates then form the age-depth model. The accumulation rates are constrained by prior information on the accumulation rate (acc.mean, acc.shape) and its variability between neighbouring depths, or "memory" (mem.mean, mem.strength). Hiatuses can be introduced as well, also constrained by prior information (hiatus.max).

Although Bacon works with any kind of absolute dates (e.g., OSL, tephra or other dates on a calendar scale), it is often used to age-model 14C-dated sequences. Radiocarbon dates should be calibrated using either IntCal13 (for terrestrial northern hemisphere material; Reimer et al., 2013), Marine13 (for marine dates; Reimer et al., 2013), SHCal13 (for southern hemisphere dates; Hogg et al., 2013) or any other calibration curve (see below), while modern 14C dates are calibrated using one of the post-bomb calibration curves (NH1, NH2 or NH3 for the northern hemisphere, SH1-2 or SH3 for the southern hemisphere; Hua et al., 2013). See http://calib.org/CALIBomb if you are unsure which postbomb curve you need. If Bacon finds postbomb dates (negative 14C ages) and you haven't specified a postbomb curve, you will be prompted. Provide postbomb curves as, e.g., postbomb=1 for the NH1 postbomb curve (2 for NH2, 3 for NH3, 4 for SH1-2, 5 for SH3).

For calendar dates, i.e. dates that are already on the calendar scale and thus should not be calibrated, setcc=0.

References

Blaauw, M. and Christen, J.A., Flexible paleoclimate age-depth models using an autoregressive gamma process. Bayesian Anal. 6 (2011), no. 3, 457--474. https://projecteuclid.org/euclid.ba/1339616472

Christen, J.A., Perez E., S., 2010. A new robust statistical model for radiocarbon data. Radiocarbon 51, 1047-1059.

Reimer, P.J., Bard, E., Bayliss, A., Beck, J.W., Blackwell, P.G., Bronk Ramsey, C., Buck, C.E., Edwards, R.L., Friedrich, M., Grootes, P.M., Guilderson, T.P., Haflidason, H., Hajdas, I., Hatte, C., Heaton, T.J., Hoffmann, D.L., Hogg, A.G., Hughen, K.A., Kaiser, K.F., Kromer, B., Manning, S.W., Niu, M., Reimer, R.W., Richards, D.A., Scott, M.E., Southon, J.R., Turney, C.S.M., van der Plicht, J., 2013. IntCal13 and Marine13 radiocarbon age calibration curves 0-50,000 yr cal BP. Radiocarbon 55(4), 1869-1887

Hogg, A.G., Hua, Q., Blackwell, P.G., Buck, C.E., Guilderson, T.P., Heaton, T.J., Niu, M., Palmer, J., Reimer, P.J., Reimer, R., Turney, C.S.M., Zimmerman, S.R.H., 2013. ShCal13 Southern Hemisphere calibration, 0-50,000 cal yr BP. Radiocarbon 55(4), <doi:10.2458/azu_js_rc.55.16783>.

Hua, Q., Barbetti, M., Rakowski, A.Z., 2013. Atmospheric radiocarbon for the period 1950-2010. Radiocarbon 55(4), <doi:10.2458/azu_js_rc.v55i2.16177>.

Jones, V.J., Stevenson, A.C., Battarbee, R.W., 1989. Acidification of lakes in Galloway, south west Scotland - a diatom and pollen study of the post-glacial history of the Round Loch of Glenhead. Journal of Ecology 77: 1-23.

See Also

http://www.qub.ac.uk/chrono/blaauw/manualBacon_2.3.pdf

Examples

Run this code
# NOT RUN {
  Bacon(ask=FALSE, coredir=tempfile())
  Bacon(cc=2, delta.R=80, delta.STD=40, coredir=tempfile())
# }

Run the code above in your browser using DataLab