Construction function for class "Emissions"

Emissions returns a transformed object with class "Emissions". The type of objects supported are of classes "matrix", "data.frame" and "numeric". If the class of the object is "matrix" this function returns a dataframe.

Emissions(x, mass = "g", time, ...)

# S3 method for class 'Emissions'
print(x, ...)

# S3 method for class 'Emissions'
summary(object, ...)

# S3 method for class 'Emissions'
plot(
  x,
  pal = "colo_angelafaye_Coloured_sky_in",
  rev = FALSE,
  fig1 = c(0, 0.8, 0, 0.8),
  fig2 = c(0, 0.8, 0.55, 1),
  fig3 = c(0.7, 1, 0, 0.8),
  mai1 = c(0.2, 0.82, 0.82, 0.42),
  mai2 = c(1.3, 0.82, 0.82, 0.42),
  mai3 = c(0.7, 0.72, 0.82, 0.42),
  main = NULL,
  bias = 1.5,
  ...
)

Arguments

x: Object with class "data.frame", "matrix" or "numeric"
mass: Character to be the time units as numerator, default "g" for grams
time: Character to be the time units as denominator, eg "h"
...: ignored
object: object with class "Emissions"
pal: Palette of colors available or the number of the position
rev: Logical; to internally revert order of rgb color vectors.
fig1: par parameters for fig, par.
fig2: par parameters for fig, par.
fig3: par parameters for fig, par.
mai1: par parameters for mai, par.
mai2: par parameters for mai, par.
mai3: par parameters for mai, par.
main: title of plot
bias: positive number. Higher values give more widely spaced colors at the high end.

Value

Objects of class "Emissions" or "units"

Examples

if (FALSE) { # \dontrun{
data(net)
data(pc_profile)
data(fe2015)
data(fkm)
PC_G <- c(33491,22340,24818,31808,46458,28574,24856,28972,37818,49050,87923,
          133833,138441,142682,171029,151048,115228,98664,126444,101027,
          84771,55864,36306,21079,20138,17439, 7854,2215,656,1262,476,512,
          1181, 4991, 3711, 5653, 7039, 5839, 4257,3824, 3068)
veh <- data.frame(PC_G = PC_G)
pc1 <- my_age(x = net$ldv, y = PC_G, name = "PC")
pcw <- temp_fact(net$ldv+net$hdv, pc_profile)
speed <- netspeed(pcw, net$ps, net$ffs, net$capacity, net$lkm, alpha = 1)
pckm <- units::as_units(fkm[[1]](1:24), "km"); pckma <- cumsum(pckm)
cod1 <- emis_det(po = "CO", cc = 1000, eu = "III", km = pckma[1:11])
cod2 <- emis_det(po = "CO", cc = 1000, eu = "I", km = pckma[12:24])
#vehicles newer than pre-euro
co1 <- fe2015[fe2015$Pollutant=="CO", ] #24 obs!!!
cod <- c(co1$PC_G[1:24]*c(cod1,cod2),co1$PC_G[25:nrow(co1)])
lef <- ef_ldv_scaled(co1, cod, v = "PC",  cc = "<=1400",
                     f = "G", p = "CO", eu=co1$Euro_LDV)
E_CO <- emis(veh = pc1,lkm = net$lkm, ef = lef, speed = speed, agemax = 41,
             profile = pc_profile)
dim(E_CO) # streets x vehicle categories x hours x days
class(E_CO)
plot(E_CO)
####
Emissions(1)
Emissions(1, time = "h")
} # }