c(
person(given = "Daniel",
family = "Schuch",
role = c("aut", "cre"),
email = "schuch@usp.br",
comment = c(ORCID = "0000-0001-5977-4519")),
person(given = "Sergio",
family = "Ibarra-Espinosa",
role = c("aut"),
email = "sergio.ibarra@usp.br",
comment = c(ORCID = "0000-0002-3162-1905"))
)
Creates emissions for use in air quality models. Vehicular emissions
are estimated by a top-down approach, total emissions are calculated using the
statistical description of the fleet of vehicles, the emission is spatially
distributed according to satellite images or openstreetmap <https://www.openstreetmap.org>
data and then distributed temporarily (Vara-Vela et al., 2016, <doi:10.5194/acp-16-777-2016>).
ncdf4, raster, units, methods, sp, spatstat, maptools, rgeos,
rgdal
Daniel Schuch [aut, cre] (<https://orcid.org/0000-0001-5977-4519>),
Sergio Ibarra-Espinosa [aut] (<https://orcid.org/0000-0002-3162-1905>)

Creates emissions for use in air quality models. Vehicular emissions
are estimated by a top-down approach, total emissions are calculated using the
statistical description of the fleet of vehicles, the emission is spatially
distributed according to satellite images or openstreetmap data
<https://www.openstreetmap.org> and then distributed temporarily
(Vara-Vela et al., 2016, <doi:10.5194/acp-16-777-2016>).
ncdf4, units(>= 0.5-1), raster, sp, sf, methods,
data.table,lwgeom

ncdf4, units(>= 0.5-1), raster, sp, sf, methods, data.table,
lwgeom

testthat (>= 2.1.0), covr, osmar, rgdal, eixport

ncdf4, units(>= 0.5-1), raster, sp, sf, methods, data.table
testthat (>= 2.1.0), covr, osmar, rgdal, eixport, lwgeom

Tools for Create Emissions for Air Quality Models
c(
person(given = "Daniel",
family = "Schuch",
role = c("aut", "cre"),
email = "underschuch@gmail.com",
comment = c(ORCID = "0000-0001-5977-4519")),
person(given = "Sergio",
family = "Ibarra-Espinosa",
role = c("aut"),
email = "sergio.ibarra@usp.br",
comment = c(ORCID = "0000-0002-3162-1905"))
)
Processing tools to create emissions for use in numerical air
quality models. Emissions can be calculated both using emission factors
and activity data (Schuch et al 2018) <doi:10.21105/joss.00662> or using
pollutant inventories (Schuch et al., 2018) <doi:10.30564/jasr.v1i1.347>.
Functions to process individual point emissions, line emissions and
area emissions of pollutants are available as well as methods to
incorporate alternative data for Spatial distribution of emissions
such as satellite images (Martins et al, 2012) <doi:10.3389/fenvs.2015.00009>
or openstreetmap data (Andrade et al, 2015) <doi:10.3389/fenvs.2015.00009>.
ncdf4, units(>= 0.5-1), raster, sp, sf, methods, data.table,
rgdal
testthat (>= 2.1.0), covr, osmar, RCurl, eixport, lwgeom