emis_grid allocates emissions proportionally to each grid cell. The process is performed by intersection between geometries and the grid. It means that requires "sr" according with your location for the projection. It is assumed that spobj is a Spatial*DataFrame or an "sf" with the pollutants in data. This function returns an object of class "sf".

It is

emis_grid(spobj = net, g, sr, type = "lines", FN = "sum", flux = TRUE, k = 1)

Arguments

spobj

A spatial dataframe of class "sp" or "sf". When class is "sp" it is transformed to "sf".

g

A grid with class "SpatialPolygonsDataFrame" or "sf".

sr

Spatial reference e.g: 31983. It is required if spobj and g are not projected. Please, see http://spatialreference.org/.

type

type of geometry: "lines", "points" or "polygons".

FN

Character indicating the function. Default is "sum"

flux

Logical, if TRUE, it return flux (mass / area / time (implicit)) in a polygon grid, if false, mass / time (implicit) as points, in a similar fashion as EDGAR provide data.

k

Numeric to multiply emissions

Note

1) If flux = TRUE (default), emissions are flux = mass / area / time (implicit), as polygons. If flux = FALSE, emissions are mass / time (implicit), as points. Time untis are not displayed because each use can have different time units for instance, year, month, hour second, etc.

2) Therefore, it is good practice to have time units in 'spobj'. This implies that spobj MUST include units!.

3) In order to check the sum of the emissions, you must calculate the grid-area in km^2 and multiply by each column of the resulting emissions grid, and then sum.

Examples

if (FALSE) { data(net) g <- make_grid(net, 1/102.47/2) #500m in degrees names(net) netsf <- sf::st_as_sf(net) netg <- emis_grid(spobj = netsf[, c("ldv", "hdv")], g = g, sr= 31983) plot(netg["ldv"], axes = TRUE) plot(netg["hdv"], axes = TRUE) netg <- emis_grid(spobj = netsf[, c("ldv", "hdv")], g = g, sr= 31983, FN = "mean") plot(netg["ldv"], axes = TRUE) plot(netg["hdv"], axes = TRUE) netg <- emis_grid(spobj = netsf[, c("ldv", "hdv")], g = g, sr= 31983, flux = FALSE) plot(netg["ldv"], axes = TRUE, pch = 16, pal = cptcity::cpt(colorRampPalette= TRUE, rev = TRUE), cex = 3) }