envpredutils.data_frame_to_list

A function to get the best model with the covariates at hand

internal

Mechanistically models/predicts the phenology (macro-phases) of 10 crop plants (trained on a big dataset over 80 years derived from the German weather service (DWD) <https://opendata.dwd.de/>). Can be applied for remote sensing purposes, dynamically check the best subset of available covariates for the given dataset and crop.

Flavian Tschurr

DyMEP

Dynamic Multi Environment Phenology-Model

envpredutils.data_frame_to_list function

<dl><dt>env_data_frame</dt>
<dd>data.frame with the necessary environmental data,
one column must be "DATE" (as.Date format), the others with the names
 of the environmental covariates (e.g. tas, tasmin etc.)</dd></dl>

Arguments

A function to get the best model with the covariates at hand — envpredutils.data_frame_to_list

<dl>

<dt>env_data_frame</dt>
<dd>data.frame with the necessary environmental data,
one column must be "DATE" (as.Date format), the others with the names
 of the environmental covariates (e.g. tas, tasmin etc.)</dd>

</dl>

envpredutils.data_frame_to_list: A function to get the best model with the covariates at hand

Description

Usage

Value

Arguments

Examples