#' Make data for maps related to diversity analysis
#'
#' For each region, get the data appropriate for maps of richness and environmental metrics.
#'
#' @param p The \code{p} data object from the process_msom_script.R file.
#'
#' @details
#' The data.table contains summary statistics to collapse time (long-term mean, e.g.), and retains stratum-specific information.
#'
#' @return a data.table
#'
#' @export
make_mapDat <- function(p){
mapDat <- list()
for(r in 1:length(p)){
pt1 <- trawlAgg(
p[[r]]$rd,
bioFun=meanna, envFun=meanna,
envCols=c("btemp","depth","stemp","lon","lat"),
bio_lvl="spp",time_lvl="year",space_lvl="stratum",
metaCols=c("reg"),meta.action="unique1"
)
pt2 <- pt1[,j={
avgRich <- .SD[,lu(spp),by="time_lvl"][,meanna(V1)]
sdRich <- .SD[,lu(spp),by="time_lvl"][,sd(V1, na.rm=TRUE)]
avgBtemp <- .SD[,meanna(btemp),by="time_lvl"][,meanna(V1)]
sdBtemp <- .SD[,meanna(btemp),by="time_lvl"][,sd(V1, na.rm=TRUE)]
data.table(avgRich=avgRich, sdRich=sdRich, avgBtemp=avgBtemp, sdBtemp=sdBtemp)
},by=c("reg","stratum")]
to_merge <- c(p[[r]]$colonization[c("n_spp_col_weighted_tot","n_spp_ext_weighted_tot","n_cep")])
mapDat[[r]] <- merge(to_merge[["n_spp_col_weighted_tot"]], to_merge[["n_spp_ext_weighted_tot"]], by=c("stratum","lon","lat","depth","yrs_sampled"),all=TRUE)
mapDat[[r]] <- merge(mapDat[[r]], pt2, by="stratum",all=TRUE)
}
mapDat <- rbindlist(mapDat)[reg!="wcann"]
# mapDim <- mapDat[,list(r_lon=diff(range(lon)),r_lat=diff(range(lat))),by="reg"]
# mapDim[,c("lon_scale","lat_scale"):=list(r_lon/min(r_lon), r_lat/min(r_lat))]
# mapDim[,ll_ratio:=r_lon/r_lat]
return(mapDat)
}
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