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dendroMetrics <- structure(function#Summarize dendrometrics
###This function can summarize dendrometric data of the Spanish
###National Forest Inventory (SNFI). It can also control most other
###functions of the package. Dendrometric variables in the outputs are
###transformed into stand units, see the Details section.
##details<< Dendrometric variables are
## summarized according to the levels of
## the argument \code{summ.vr}. The summary
## outputs include the categorical columns
## formulated in \code{summ.vr} and the
## variables defined using
## arguments/defaults in
## \code{\link{nfiMetrics}}. These
## variables include the tree basal area
## \code{ba} (\code{'m2 ha-1'}), the
## average diameter at breast height
## \code{d} (\code{'cm'}), the quadratic
## mean diameter \code{dg} (\code{'cm'}),
## the average tree height \code{h}
## (\code{'m'}), the number of trees by
## hectare \code{n} ('dimensionless'), and
## the over bark volume \code{v} (\code{'m3
## ha-1'}). Subsets of the output summary
## are extracted using logical expressions
## in argument \code{'cut.dt'}, see syntax
## in \code{\link{Logic}}.
(
nfi, ##<<\code{character} or \code{data.frame}. URL/path to a
##compressed SNFI file (.zip) having data of either
##.dbf or .mdb file extensions; or data frame such as that
##produced by \code{\link{nfiMetrics}}; or data frame such
##as that produced by \code{\link{readNFI}}.
summ.vr = 'Estadillo', ##<< \code{character} or \code{NULL}. Name
##of a Categorical variables in the SNFI
##data used to summarize the outputs. If
##\code{NULL} then output from
##\code{\link{metrics2Vol}} is
##returned. Default \code{'Estadillo'}
##processes sample plots.
cut.dt = 'd == d', ##<< \code{character}. Logical condition used
##to subset the output. Default \code{'d == d'}
##avoids subsetting.
report = FALSE, ##<< \code{logical}. Print a report of the output
##in the current working directory.
... ##<< Additional arguments in \code{\link{metrics2Vol}} or
##\code{\link{nfiMetrics}} or \code{\link{readNFI}}.
) {
if(is.null(nfi) | is.character(nfi) | inherits(nfi, 'readNFI')){
nfi. <- nfi
nfi <- metrics2Vol(nfi, ...)
if(is.null(nfi.))
return(nfi)
}
frm. <- attr(nfi, 'units')
if(is.null(summ.vr)){
nfi <- subset(nfi,
eval(parse(text = cut.dt)))
attributes(nfi) <- c(attributes(nfi), list(units = frm.))
if(report)
write.csv(nfi, file = 'report.csv', row.names = FALSE)
return(nfi)
}
summ.vr <- flev(nfi, summ.vr)
var <- getOption('units1')[getOption('units1')%in%names(nfi)]
frm. <- names(attr(nfi, 'units'))
to. <- names(var)
var. <- var[var!='n']
nfi <- conv_units(nfi, var = var, un = to.)
msp <- split(nfi, nfi[summ.vr])
msp <- Filter('nrow', msp)
fsum <- function(dt){
dt[,var.] <- dt[,var.] * dt[,'n']
summ <- apply(dt[,var], 2,
sum, na.rm = TRUE)
summ[c('d','h', 'Hd')] <- summ[c('d','h','Hd')]/summ['n']
summ['dg'] <- sqrt((4E4 * summ['ba']/summ['n'])/pi)
summ <- summ[order(names(summ))]
summ <- sapply(summ,function(x) round(x,3))
summ <- t(as.matrix(summ))
fcs. <- names(dt)[!names(dt)%in%var]
fcs <- dt[1,fcs.]
resd <- cbind(fcs, summ)}
resm <- Map(function(x)
fsum(x), x= msp)
resm <- Reduce('rbind',resm)
resm <- data.frame(resm)
resm <- subset(resm,
eval(parse(text = cut.dt)))
rownames(resm) <- NULL
if(report)
write.csv(resm, file = 'report.csv', row.names = FALSE)
dgcm <- 'dg'
names(dgcm) <- 'cm'
attr. <- c(attr(nfi,'units'), dgcm)
attributes(resm) <- c(attributes(resm), list(units = attr.))
return(resm)
### \code{data.frame}. Depending on \code{summ.vr = NULL}, an output from
### \code{\link{metrics2Vol}}, or a summary of the variables, see
### Details section.
}, ex = function(){
## SNFI Data from the province of Madrid
madridNFI <- system.file("ifn3p28_tcm30-293962.zip", package="basifoR")
rmad <- readNFI(madridNFI)[1:100,]
mmad <- nfiMetrics(rmad)
vmad <- metrics2Vol(mmad)
dmad <- dendroMetrics(vmad, cut.dt = 'h > 8')
head(dmad)
## see metric units
attr(dmad,'units')
## Retrieval of SNFI data in 'www.miteco.gob.es' and computation
## of the corresponding dendrometric summary:
## donttest{
## path <- '/es/biodiversidad/servicios/banco-datos-naturaleza/090471228013cbbd_tcm30-278511.zip'
## url2 <- httr::modify_url("https://www.miteco.gob.es", path = path)
## dmad <- dendroMetrics(url2, cut.dt = 'h >= 11')
## head(dmad)
## attr(dmad, 'units')
## }
})
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