Description Usage Arguments Details Value Examples
Used in Table 1, Supplemental Tables. Generates dataframe with summaries of population projections.
1 | resTabDemog(ldemog = NA, make_html = FALSE)
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ldemog |
List with population projections from "PopScen.R" |
make_html |
Logical (TRUE/FALSE). Should html tables be written. |
Title
Data.frame with summaries of population projections for three scenarios.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | ## Not run:
#1) River length coverage
lsf <- prepTabcover(pBasin = B, pBasinSp = Bsp,
pBasinC = BC, riv = rin, rastAc = ras1, make_shape = FALSE)
rp <- system.file("shape/shapes_rivers3395", package="cmartr")
lt <- resTab(listsf = lsf, input_rp = rp, make_html = FALSE)
atest <- lt$rlcb
# add key and make sure all levels are represented
atest$namekey <- paste(atest$BASIN_N, atest$name, atest$subbasn, sep = "_")
riverl <- expand.grid(namekey = unique(atest$namekey),
accessible = unique(atest$accessible) )
riverl <- merge(riverl, atest, all.x=TRUE)
selNA <- which(is.na(riverl$tot_km))
coln <- c("tot_km", "tot_notPA", "tot_PA", "tot_Ind", "tot_SP", "tot_use")
riverl[selNA, coln)] <- 0
#2) Data frame with population parameters created from "PopParam.R"
dfpop <- readRDS("inst/other/dfpop.RDS")
#3) Create list with population parameters for different scenarios
# across river lengths per geographic/political coverage class:
# basin, country, subbasin, accessible, protected area...
l.gpop <- plyr::dlply(dfpop, c("akey"), PopPrep, riverl=riverl)
#4) Project scenarios across species range
# takes 5 hours and writes 10 GB of results.
# Do not run unless you really want to.....
dflup <- plyr::ldply(l.gpop, PopProj, write_csv = TRUE,
write_db = FALSE)
#5) Get results from 3 scenarios
lscen <- PopScen(dflup)
#6) Produce summary tables.
dfsum <- resTabDemog(ldemog = lscen, make_html = FALSE)
## End(Not run)
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