envpredutils.cumulative_dose_response_pred_helper

wrapper function to apply the response_prediction
function in a "weighted" manner and do some gap filling of the env data

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.cumulative_dose_response_pred_helper function

<dl><dt>env_data_vector</dt>
<dd>environmental covariate to predict on</dd>
<dt>.response_function.</dt>
<dd>dose response function</dd>
<dt>parameters</dt>
<dd>parameters of the response function</dd></dl>

Arguments

function to calculate cumulative response — envpredutils.cumulative_dose_response_pred_helper

<dl>

<dt>env_data_vector</dt>
<dd>environmental covariate to predict on</dd>


<dt>.response_function.</dt>
<dd>dose response function</dd>


<dt>parameters</dt>
<dd>parameters of the response function</dd>

</dl>

envpredutils.cumulative_dose_response_pred_helper: function to calculate cumulative response

Description

Usage

Value

Arguments