decoder

A data.frame descriptors to use MOVES functions

datasets

Elaboration of vehicular emissions inventories,
consisting in four stages, pre-processing activity data, preparing
emissions factors, estimating the emissions and post-processing of emissions
in maps and databases. More details in Ibarra-Espinosa et al (2018) <doi:10.5194/gmd-11-2209-2018>.
Before using VEIN you need to know the vehicular composition of your study area, in other words,
the combination of of type of vehicles, size and fuel of the fleet. Then, it is recommended to
start with the project to download a template to create a structure of directories and scripts.

Sergio Espinosa

vein

Vehicular Emissions Inventories

Sergio Ibarra-Espinosa

Daniel Schuch

Joao Bazzo

Mario Gavidia-Calderón

Karl Ropkins

decoder function

A data frame with 69 rows and 4 columns:<dl>
 <dt>CategoryField</dt>
<dd>dayID, sourceTypID, roadTypeID, pollutantID and procesID</dd> <dt>pollutantID</dt>
<dd>Associated number</dd> <dt>Description</dt>
<dd>Associatd description</dd> <dt>V4</dt>
<dd>pollutants</dd>
</dl>

Format

Description data.frame for MOVES — decoder

A data frame with 69 rows and 4 columns:<dl>
 <dt>CategoryField</dt>
<dd>dayID, sourceTypID, roadTypeID, pollutantID and procesID</dd>

 <dt>pollutantID</dt>
<dd>Associated number</dd>

 <dt>Description</dt>
<dd>Associatd description</dd>

 <dt>V4</dt>
<dd>pollutants</dd>


</dl>

decoder: Description data.frame for MOVES

Description

Usage

Arguments

Format