chillR-package: chillR: statistical methods for phenology analysis in...

In chillR: Statistical Methods for Phenology Analysis in Temperate Fruit Trees

chillR: statistical methods for phenology analysis in temperate fruit trees

Description

chillR contains functions for processing temperature records into chilling (Chilling Hours, Utah Chill Units and Chill Portions) and heat units (Growing Degree Hours). Regarding chilling metrics, Chill Portions are often considered the most promising, but they are difficult to calculate. This package makes it easy. chillR also contains procedures for conducting a Partial Least Square regression analysis relating phenological dates (e.g. bloom dates) to either mean temperatures or mean chill and heat accumulation rates, based on long-term weather and phenology records (Luedeling and Gassner 2012). As of version 0.65, it also includes functions for generating weather scenarios with a weather generator, for conducting climate change analyses for temperature-based climatic metrics and for plotting results from such analyses. Since version 0.70, chillR contains a function for interpolating hourly temperature records. As of version 0.72.6, the package contains functions to design elegant plots using the ggplot2 package.

Author(s)

Prof. Dr. Eike Luedeling (creator)

[e-mail]

ORCID

eikeluedeling on GitHub

Lars Caspersen (contributor)

[e-mail]

ORCID

larscaspersen on GitHub

Dr. Eduardo Fernández (contributor)

[e-mail]

ORCID

EduardoFernandezC on GitHub

References

Luedeling E and Gassner A, 2012. Partial Least Squares Regression for analyzing walnut phenology in California. Agricultural and Forest Meteorology 158, 43-52. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.agrformet.2011.10.020")}

chillR documentation built on Nov. 28, 2023, 1:09 a.m.