envpredutils.GLM_prediction_df_creator

create DF suitable to predict with GLM

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.GLM_prediction_df_creator function

<dl><dt>resposne_predictions</dt>
<dd>prediction output</dd>
<dt>timestamp_vect</dt>
<dd>vector with timestamps</dd></dl>

Arguments

create DF suitable to predict with GLM — envpredutils.GLM_prediction_df_creator

<dl>

<dt>resposne_predictions</dt>
<dd>prediction output</dd>


<dt>timestamp_vect</dt>
<dd>vector with timestamps</dd>

</dl>

envpredutils.GLM_prediction_df_creator: create DF suitable to predict with GLM

Description

Usage

Value

Arguments

Examples