convert_scen_information

Allows the user to convert a list of change scenarios to a single data.frame or 
 vice versa. If it converts from data.frame to list, the user can decide if the
 returned list should be flat or structured. In case of a list of change scenarios, the 
 list should have named elements. In case of composite names, the function assumes 
 that the location is the first part of the composite name, composite elements are
 seperated by dot.

The phenology of plants (i.e. the timing of their annual life
phases) depends on climatic cues. For temperate trees and many other plants,
spring phases, such as leaf emergence and flowering, have been found to result
from the effects of both cool (chilling) conditions and heat. Fruit tree
scientists (pomologists) have developed some metrics to quantify chilling
and heat (e.g. see Luedeling (2012) <doi:10.1016/j.scienta.2012.07.011>).
'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 PLS 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) <doi:10.1016/j.agrformet.2011.10.020>).
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.

Eike Luedeling

chillR

Statistical Methods for Phenology Analysis in Temperate Fruit
Trees

Lars Caspersen

Eduardo Fernandez

convert_scen_information function

<dl><dt>scenario_object</dt>
<dd>can be either a data.frame or a list of change scenarios. 
If it is a data.frame, it containing the relative change scenarios</dd>
<dt>give_structure</dt>
<dd>boolean, by default set TRUE. If set TRUE, then the output is a
nested list of the structure: 1) Location 2)SSP 3)GCM 4)Timepoint.
If set FALSE, then returns flat list with names following the scheme:
Location.SSP.GCM.Timepoint.</dd></dl>

Arguments

Author

Converts list of change scenarios to data.frame or vice versa — convert_scen_information

<dl>

<dt>scenario_object</dt>
<dd>can be either a data.frame or a list of change scenarios. 
If it is a data.frame, it containing the relative change scenarios</dd>


<dt>give_structure</dt>
<dd>boolean, by default set TRUE. If set TRUE, then the output is a
nested list of the structure: 1) Location 2)SSP 3)GCM 4)Timepoint.
If set FALSE, then returns flat list with names following the scheme:
Location.SSP.GCM.Timepoint.</dd>

</dl>

convert_scen_information: Converts list of change scenarios to data.frame or vice versa

Description

Usage

Value

Arguments

Author