In this tutorial we show how to systematically screen different season lengths when performing climate-growth correlations. We also discuss the small difference between purely noise-related correlation coefficients and climate sensitivtiy derived from unstandardized regression slopes.
Ever more data is available to Earth System scientists - exploring, cleaning and curating it in a reproducible manner can be done efficiently and conveniently with interactive tools such as datacleanr. Learn how to use it for quantitative wood anatomy, as well as for environmental data in a guided tutorial.
We introduce SECTOR, an R script capable of applying a sectoral approach, where wood anatomical measurements obtained from ROXAS are automatically assigned to a specified sector (or bin), accounting for the ring shape and rotation. SECTOR also allows for automatically providing intra-annual data on key wood anatomical parameters, while correcting for gaps in the area of interest (i.e., caused by cracks due to cutting).
RAPTOR analyses wood cell anatomical data on spatially-explicit xylem (tracheids) datasets derived from thin sections of woody tissue. The package includes functions for visualisation, detection and alignment of continuous tracheid radial file (defined as rows) and individual tracheid position within an annual ring of coniferous species. This package is designed to be used with elaborate cell output.
TREX assimilate, process and analyse sap flow data from the thermal dissipation method (TDM). We showcase its features and introduce how to generate method comparisons and uncertainty assessments.
treenetproc cleans, processes and visualises highly resolved time series of dendrometer data by aligning data to regular time intervals and removing conspicious measurements. Growth characteristics are also easily calculated.