Vehicular Emissions by Top-Down Methods

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 <> and then distributed temporarily (Vara-Vela et al., 2016, ).


EmissV 0.664.9 (2018-07-10)

  • fix #20

EmissV 0.664.8 (2018-06-19)

  • doc updates

EmissV 0.664.7 (2018-05-29)

  • on CRAN (2018-06-19)
  • added automated tests (cod-cov)
  • lineSource is faster, uses sf and data.table instead of several packages
  • removing: spatsts, maptools, rgeos, rgdal dependencies

EmissV 0.664.6 (2018-05-29)

  • adding fest (fast!) argument in lineSource
  • lineSource use sp or sf

EmissV 0.664.5 (2018-05-31)

  • CRAN version
  • funcion streetDist not included
  • all external data was reduced from 28mb to less than 1mb
  • examples update
  • functions messages update
  • links for more data sources to be used
  • exemples tested, with the eception of plots and read (no extra data added)

EmissV 0.664.3 (2018-03-14)

  • plot output in 'emissions()'
  • JOSS paper version

EmissV 0.664.2 (2018-02-15)

  • function 'emissions()' integred with read() via Inventory argument

EmissV 0.664.1 (2018-02-07)

  • function to 'read()' global inventories in NetCDF

EmissV 0.664.1 (2018-01-31)

  • Updates on units usage
  • add profiles in data(perfil)

EmissV 0.662 (2018-01-01)

  • Updates on lineSource and exemple data added

EmissV 0.661 (2017-12-18)

  • New function names and future work

EmissV 0.66 (2017-12-08)

-I'm not alone: Sergio Joint me and send me a sweet function

Reference manual

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0.665.3.0 by Daniel Schuch, 5 months ago

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Browse source code at

Authors: Daniel Schuch [aut, cre] , Sergio Ibarra-Espinosa [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports ncdf4, units, raster, sp, sf, methods, data.table

Suggests testthat, covr, osmar, rgdal, eixport, lwgeom

See at CRAN