R/fvsGetSVSObjectSet.R

Defines functions fvsGetSVSObjectSet

Documented in fvsGetSVSObjectSet

#' @title Get SVS Object Set
#'
#' @return list
#' @export

fvsGetSVSObjectSet <- function() {
  ### object types and locations

  svsdims <- fvsGetSVSDims()
  svsObjNames <- c("objtype", "objindex", "xloc", "yloc")
  nsvsobjs <- svsdims["nsvsobjs"]
  svs <- NULL
  for (name in svsObjNames)
  {
    nch <- nchar(name)
    atr <- vector("numeric", nsvsobjs)
    ans <- .Fortran("fvsSVSObjData", name, nch, "get", nsvsobjs, atr, as.integer(0))
    if (ans[[6]] == 0) {
      svs <- append(svs, list(ans[[5]]))
      names(svs)[length(svs)] <- name
    }
  }
  svs <- as.data.frame(svs)

  # fetch the species codes for use below.

  sppCds <- fvsGetSpeciesCodes()

  ### live trees

  lives <- NULL
  liveptrs <- svs$objindex[svs$objtype == 1]
  liveptrs <- liveptrs[liveptrs != 0]
  if (length(liveptrs) > 0) {
    lives <- fvsGetTreeAttrs(c(
      "species", "dbh", "ht", "crwdth", "cratio",
      "crownwt0", "crownwt1", "crownwt2", "crownwt3"
    ))[liveptrs, ]
    lives <- cbind(subset(svs, objtype == 1)[, 3:4], lives)
  }
  if (length(lives$species) > 0) lives$species <- sppCds[lives$species, 3]


  ### snags

  snagNames <- c(
    "snagspp", "snagdbh", "snaglen", "snagfdir", "snagstat", "snagyear",
    "snagwt0", "snagwt1", "snagwt2", "snagwt3"
  )
  snags <- NULL
  snagptrs <- svs$objindex[svs$objtype == 2]
  snagptrs <- snagptrs[snagptrs != 0]
  ndeadobjs <- svsdims["ndeadobjs"]
  if (length(snagptrs) > 0) {
    for (name in snagNames)
    {
      nch <- nchar(name)
      atr <- vector("numeric", ndeadobjs)
      ans <- .Fortran("fvsSVSObjData", name, nch, "get", ndeadobjs, atr, as.integer(0))
      if (ans[[6]] == 0) {
        snags <- append(snags, list(ans[[5]]))
        names(snags)[length(snags)] <- name
      }
    }

    # age the snag weights

    maxsp <- nrow(sppCds)
    ageWts <- c("snagwt0", "snagwt1", "snagwt2", "snagwt3")
    falyrs <- c("fallyrs0", "fallyrs1", "fallyrs2", "fallyrs3")
    year <- fvsGetEventMonitorVariables(vars = "Year")
    sage <- year - snags$snagyear - 1
    for (i in 1:length(falyrs))
    {
      name <- falyrs[i]
      nch <- nchar(name)
      atr <- vector("numeric", maxsp)
      ans <- .Fortran("fvsFFEAttrs", name, nch, "get", maxsp, atr, as.integer(0))
      if (ans[[6]] == 0) {
        fal <- ans[[5]]
        fal <- sage / fal[snags$snagspp]
        snags[[ageWts[i]]] <- snags[[ageWts[i]]] * ifelse(fal < 1, 1 - fal, 0)
      }
    }

    if (length(snags$snagspp) > 0) snags$snagspp <- sppCds[snags$snagspp, 3]
    snags <- cbind(subset(svs, objtype == 2)[, 3:4], as.data.frame(snags)[snagptrs, ])
  }

  ###  cwd:

  cwdNames <- c("cwddia", "cwdlen", "cwdpil", "cwddir", "cwdwt")
  cwd <- NULL
  cwdptrs <- svs$objindex[svs$objtype == 4]
  cwdptrs <- cwdptrs[cwdptrs != 0]
  ncwdobjs <- svsdims["ncwdobjs"]
  if (length(cwdptrs) > 0) {
    for (name in cwdNames)
    {
      nch <- nchar(name)
      atr <- vector("numeric", ncwdobjs)
      ans <- .Fortran("fvsSVSObjData", name, nch, "get", ncwdobjs, atr, as.integer(0))
      if (ans[[6]] == 0) {
        cwd <- append(cwd, list(ans[[5]]))
        names(cwd)[length(cwd)] <- name
      }
    }
    cwd <- cbind(subset(svs, objtype == 4)[, 3:4], as.data.frame(cwd))
  }

  list(trees = lives, snags = snags, cwd = cwd)
}
SilviaTerra/rFVS documentation built on March 25, 2023, 3:59 a.m.