#' @export
get_landholders <- function(object, with_names = TRUE) {
UseMethod("get_landholders", object)
}
#' @export
get_landholders.default <- function(object, with_names = TRUE) {
warning(warn_msg$method_not_implemented)
return(NULL)
}
#' Landholders listing
#'
#' \code{get_landholders} retrieves all landholders in the survey object.
#'
#' This method extracts the listing of unique landholder names or identifiers
#' from the raw hyper-table in the survey object.
#'
#' @param object A \code{\link{survey}} object of landholder.plot.neighbour
#' subclass.
#'
#' @param with_names A logical flag to get landholder names if TRUE, or
#' landholder identifiers otherwise.
#'
#' @return A character vector of unique names or identifiers.
#'
#' @examples
#' get_landholders(tagarina_croplands)
#' get_landholders(tagarina_croplands, with_names = FALSE)
#'
#' @export
get_landholders.landholder.plot.neighbour <-
function(object, with_names = TRUE) {
colname <- ifelse(with_names, "Landholder", "LandholderId")
records <- get_records(object)
return(levels(factor(records[[colname]])))
}
#' @export
nlandholders <- function(object) {
UseMethod("nlandholders", object)
}
#' @export
nlandholders.default <- function(object) {
warning(warn_msg$method_not_implemented)
return(NULL)
}
#' Landholders count
#'
#' \code{nlandholders} gets the number of landholders in the survey object.
#'
#' This method extracts the number of unique landholder names from the raw
#' hyper-table in the survey object.
#'
#' @param object A \code{\link{survey}} object of landholder.plot.neighbour
#' subclass.
#'
#' @return A non negative integer of length 1.
#'
#' @examples
#' nlandholders(tagarina_croplands)
#'
#' @export
nlandholders.landholder.plot.neighbour <- function(object) {
landholders <- get_landholders(object)
return(length(landholders))
}
#' @export
get_agglevel_names <- function(object, level) {
UseMethod("get_agglevel_names", object)
}
#' @export
get_agglevel_names.default <- function(object, level) {
warning(warn_msg$method_not_implemented)
return(NULL)
}
#' Aggregation level names
#'
#' \code{nlandholders} gets all place names which refer to a particular level of
#' spatial aggregation.
#'
#' This method extracts a collection of distinct place names from the raw
#' hyper-table in the survey object.
#'
#' @param object A \code{\link{survey}} object of landholder.plot.neighbour
#' subclass.
#'
#' @param level A positive integer of length 1.
#'
#' @return A character vector of unique names.
#'
#' @examples
#' get_agglevel_names(tagarina_croplands, 1)
#'
#' @export
get_agglevel_names.landholder.plot.neighbour <- function(object, level) {
records <- get_records(object)
levelname <- paste0("Level_", level)
query <- records[grep(levelname, records$Variable),]
return(levels(factor(query$Value)))
}
#' @export
nplots <- function(object) {
UseMethod("nplots", object)
}
#' @export
nplots.default <- function(object) {
warning(warn_msg$method_not_implemented)
return(NULL)
}
#' @export
nagglevels <- function(object) {
UseMethod("nagglevels", object)
}
#' @export
nagglevels.default <- function(object) {
warning(warn_msg$method_not_implemented)
return(NULL)
}
#' Aggregation levels count
#'
#' \code{nlandholders} gets the number of levels land lots can be aggregated in.
#'
#' This method extracts the number of land lot spatial aggregation levels from
#' the metadata in the survey object's header.
#'
#' @param object A \code{\link{survey}} object of landholder.plot.neighbour
#' subclass.
#'
#' @return A non negative integer of length 1.
#'
#' @examples
#' nagglevels(tagarina_croplands)
#'
#' @export
nagglevels.landholder.plot.neighbour <- function(object) {
length(object$header$metadata$aggregations)
}
#' Plot count
#'
#' \code{nlandholders} gets the number of land lots in the survey object.
#'
#' This method extracts the number of unique land lots from the raw
#' hyper-table in the survey object.
#'
#' @param object A \code{\link{survey}} object of landholder.plot.neighbour
#' subclass.
#'
#' @return A non negative integer of length 1.
#'
#' @examples
#' nplots(tagarina_croplands)
#'
#' @export
nplots.landholder.plot.neighbour <- function(object) {
records <- get_records(object)
return(nlevels(as.factor(records$Plot)))
}
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