metabolism.db = function( DS="", p=NULL ) {
if (DS %in% c( "metabolism", "metabolism.redo" ) ) {
outdir = file.path( project.datadirectory("aegis"), "metabolism" )
dir.create( outdir, showWarnings=FALSE, recursive=TRUE )
fn = file.path( outdir, paste( "set.metabolism", p$spatial.domain, p$taxa, "rdata", sep=".") )
if (DS=="metabolism") {
set = NULL
if (file.exists( fn) ) load( fn )
return ( set )
}
set = survey.db( p=p, DS="set" ) # kg/km^2, no/km^2
# filter area
igood = which( set$lon >= p$corners$lon[1] & set$lon <= p$corners$lon[2]
& set$lat >= p$corners$lat[1] & set$lat <= p$corners$lat[2] )
if (length(igood)>0) set = set[igood, ]
set = lonlat2planar( set, proj.type=p$internal.crs )
oo = which(!is.finite( set$plon+set$plat ) )
if (length(oo)>0) set = set[ -oo, ] # a required field for spatial interpolation
# last filter on set:: filter years
set = set[ which(set$yr %in% p$yrs) , ]
save( set, file=fn, compress=T )
return (fn)
}
}
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