rasterSource: Distribution of emissions by a georeferenced image

In Schuch666/EmissV: Tools for Create Emissions for Air Quality Models

Distribution of emissions by a georeferenced image

Description

Calculate the spatial distribution by a raster

Usage

rasterSource(r, grid, nlevels = "all", conservative = TRUE, verbose = TRUE)

Arguments

r	input raster object
grid	grid object with the grid information
nlevels	number of vertical levels off the emission array
conservative	TRUE (default) to conserve total mass, FALSE to conserve flux
verbose	display additional information

Details

About the DMSP and example data https://en.wikipedia.org/wiki/Defense_Meteorological_Satellite_Program

Value

Returns a matrix

Source

Exemple data is a low resolution cutting from image of persistent lights of the Defense Meteorological Satellite Program (DMSP) https://pt.wikipedia.org/wiki/Defense_Meteorological_Satellite_Program

Data avaliable https://www.nesdis.noaa.gov/current-satellite-missions/currently-flying/defense-meteorological-satellite-program

See Also

gridInfo and lineSource

Examples

grid  <- gridInfo(paste(system.file("extdata", package = "EmissV"),"/wrfinput_d01",sep=""))
x     <- raster::raster(paste(system.file("extdata", package = "EmissV"),"/dmsp.tiff",sep=""))
test  <- rasterSource(x, grid)
image(test, axe = FALSE, main = "Spatial distribution by Persistent Nocturnal Lights from DMSP")

Schuch666/EmissV documentation built on Dec. 24, 2024, 3:15 a.m.