muc.spruce

This dataset gives the tree-ring indices for Picea abies
 at Forstenrieder Park, Munich, Bavaria, Germany. The chronology represents
 20 cores from 10 trees. The series were read in using
 <code><a rd-options="dplR" href="/link/read.rwl?package=bootRes&version=1.2.4&to=dplR" data-mini-rdoc="dplR::read.rwl">read.rwl</a></code> from package <code>dplR</code>, detrended using a 60a
 spline with 50% frequency cutoff (function <code><a rd-options="dplR" href="/link/detrend?package=bootRes&version=1.2.4&to=dplR" data-mini-rdoc="dplR::detrend">detrend</a></code>),
 and averaged to a chronology using a robust mean <code><a rd-options="dplR" href="/link/chron?package=bootRes&version=1.2.4&to=dplR" data-mini-rdoc="dplR::chron">chron</a></code>.

datasets

Bootstrapped correlation and response functions are widely used in dendrochronology to calibrate tree-ring proxy data against multiple instrumental time series of climatic variables. With this package, we provide functionality similar to DENDROCLIM2002 (Biondi and Waikul (2004) <10.1016/j.cageo.2003.11.004>). A full description with examples is given in Zang and Biondi (2013) <10.1016/j.dendro.2012.08.001>.

Christian Zang

bootRes

Bootstrapped Response and Correlation Functions

muc.spruce function

A <code>data.frame</code> containing tree-ring indices and replication
 depth with respective years as <code>rownames</code>.

Format

This dataset gives the tree-ring indices for Picea abies
 at Forstenrieder Park, Munich, Bavaria, Germany. The chronology represents
 20 cores from 10 trees. The series were read in using
 <code><a rd-options='dplR' href='read.rwl'>read.rwl</a></code> from package <code>dplR</code>, detrended using a 60a
 spline with 50% frequency cutoff (function <code><a rd-options='dplR' href='detrend'>detrend</a></code>),
 and averaged to a chronology using a robust mean <code><a rd-options='dplR' href='chron'>chron</a></code>.

muc.spruce: Tree-Ring Chronology of a Spruce Population near Munich

Description

Usage

Arguments

Format

References