plot.slice_clouds

The output of a run from <code><a rd-options="" href="/link/slice_clouds?package=Bclim&version=3.1.2" data-mini-rdoc="Bclim::slice_clouds">slice_clouds</a></code>

slice

A vector of length 2. dim=1 corresponds to GDD5, dim=2 to MTCO, and dim=3 to AET/PET

dims

The resolution of the resulting plot. A higher value of n will yield finer plots but might require some colour adjustment

Other arguments to the plot function such as axis labels, titles, and colours


Create bivariate climate plots of individual slices. For examples why not see the wonderful Bclim vignette (available at https://cran.r-project.org/web/packages/Bclim/index.html) and the author's personal webpage (https://maths.ucd.ie/parnell)?


Takes pollen and chronology data from lake cores and produces
a Bayesian posterior distribution of palaeoclimate from that location after
fitting a non-linear non-Gaussian state-space model. For more details see the
paper Parnell et al. (2015), Bayesian inference for palaeoclimate with
time uncertainty and stochastic volatility. Journal of the Royal Statistical
Society: Series C (Applied Statistics), 64: 115–138 <DOI:10.1111/rssc.12065>.

Andrew Parnell

Bclim

Bayesian Palaeoclimate Reconstruction from Pollen Data

plot.slice_clouds function

The output of a run from <code><a rd-options='' href='slice_clouds'>slice_clouds</a></code>

plot.slice_clouds: Plots of Bclim slice clouds

Description

Usage

Arguments

Value

Details

See Also