Nothing
R/calcSeasCal.R
In AquaBEHER: Estimation and Prediction of Wet Season Calendar and Soil Water Balance for Agriculture
Defines functions
calcSeasCal
Documented in
calcSeasCal
###############################################################################
###############################################################################
#
# calcSeasCal.R Wet season calendar
#
# Copyright (C) 2024 Institute of Plant Sciences, Sant’Anna School of
# Advanced Studies, Pisa, Italy
# (https://www.santannapisa.it/en/institute/plant-sciences).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
###############################################################################
#' @title Wet Season Calendar
#'
#' @description Estimates the wet season calendar, including the onset date,
#' cessation date, and duration, based on an agroclimatic approach. The
#' function relies on daily soil water balance parameters.
#'
#' @param data An R dataframe returned by \code{\link{calcWatBal}} or
#' a dataframe with similar parameters.
#' @param onsetWind.start The earliest possible start date for the onset window
#' in "MM-DD" format.
#' @param onsetWind.end The latest possible end date for the onset window
#' in "MM-DD" format.
#' @param cessaWind.end The latest possible end date for the cessation window
#' in "MM-DD" format.
#' @param soilWHC The available soil water holding capacity at
#' root zone depth (in mm).
#'
#' @return A dataframe containing the following columns:
#' \describe{
#' \item{Year}{The year of the season (YYYY).}
#' \item{OnsetDate}{The onset date, formatted as "YYYY-MM-DD".}
#' \item{OnsetDOY}{The Julian day (DOY) of the onset.}
#' \item{OnsetValue}{The number of days since \code{onsetWind.start}.}
#' \item{CessationDate}{The cessation date, formatted as "YYYY-MM-DD".}
#' \item{CessationDOY}{The Julian day (DOY) of the cessation.}
#' \item{CessationValue}{The number of days since \code{onsetWind.start}.}
#' \item{Duration}{The duration of the wet season (in days).}
#' }
#'
#' @details
#' The agroclimatic approach defines the wet season based on the balance
#' between precipitation and potential evapotranspiration (PET). The wet season
#' begins when the moisture available to crops exceeds their
#' evapotranspiration demands, ensuring optimal growth conditions.
#'
#' \strong{Onset:}
#' The wet season onset is defined as the first day after \code{onsetWind.start}
#' when the ratio of actual evapotranspiration (AET) to potential
#' evapotranspiration (PET) exceeds 0.5 for at least 5 consecutive days, and the
#' soil moisture remains above 25% of the available soil water holding capacity
#' (\code{soilWHC}) for a minimum of 20 consecutive days, ensuring sufficient
#' moisture availability for plant growth.
#'
#' \strong{Cessation:}
#' The wet season ends on the first day after \code{onsetWind.end} when the
#' AET/PET ratio falls below 0.5 for at least 5 consecutive days, and the
#' soil moisture remains below 25% of the available soil water holding capacity
#' (\code{soilWHC}) for a minimum of 12 consecutive days.
#'
#' \strong{Duration:}
#' The total duration of the wet season is the number of days between
#' onset and cessation.
#'
#' @references
#' FAO, 1977. Crop water requirements. FAO Irrigation and Drainage Paper No. 24,
#' by Doorenbos J. and W.O. Pruitt. FAO, Rome, Italy.
#'
#' FAO, 1978. Forestry for Local Community Development. FAO Forestry Paper
#' No. 7, FAO, Rome.
#'
#' FAO, 1986. Early Agrometeorological Crop Yield Forecasting. FAO Plant
#' Production and Protection Paper No. 73, by M. Frère and G.F.
#' Popov. FAO, Rome.
#'
#' @seealso \code{\link{calcEto}, \link{calcWatBal}}
#'
#' @importFrom dplyr group_by summarize mutate
#' @importFrom magrittr %>%
#' @importFrom lubridate as_date
#' @importFrom zoo rollapply
#' @importFrom rlang .data
#'
#' @examples
#' \donttest{
#' ## Load example data:
#' data(AgroClimateData)
#'
#' ## Estimate daily PET:
#' PET <- calcEto(AgroClimateData, method = "PM", Zh = 10)
#'
#' ## Add the estimated PET 'ET.Daily' to a new column in AgroClimateData:
#' AgroClimateData$Eto <- PET$ET.Daily
#'
#' ## Estimate daily water balance for the soil having 100mm of WHC:
#' watBal.list <- calcWatBal(data = AgroClimateData, soilWHC = 100)
#' watBal <- watBal.list$data
#'
#' ## seasonal calendar is estimated for the onset window ranges from
#' ## 01 September to 31 January having a soil with 100mm of WHC:
#'
#' soilWHC <- 100
#' onsetWind.start <- "09-01"
#' onsetWind.end <- "01-31"
#' cessaWind.end <- "06-30"
#'
#' seasCal.dF <- calcSeasCal(
#' data = watBal, onsetWind.start, onsetWind.end,
#' cessaWind.end, soilWHC
#' )
#'
#' str(seasCal.dF)
#' }
#' @export
###############################################################################
###############################################################################
# ***** function to estimate WSC
calcSeasCal <- function(data, onsetWind.start, onsetWind.end,
cessaWind.end, soilWHC) {
## ***** Validate parameters ***** ##
requiredColumns <- c("Year", "Month", "Day", "R", "AVAIL")
missingCols <- setdiff(requiredColumns, colnames(data))
if (length(missingCols) > 0) {
stop(paste(
"The required data columns",
paste(missingCols, collapse = ", "), "are missing!"
))
}
## ***** Validate onset window start ("MM-DD"):
if (is.null(onsetWind.start) || is.na(onsetWind.start) ||
!grepl("^\\d{2}-\\d{2}$", onsetWind.start)) {
stop("The start date for the onset window 'onsetWind.start' is
missing or not in 'MM-DD' format!")
}
## ***** Validate onset window end ("MM-DD"):
if (is.null(onsetWind.end) || is.na(onsetWind.end) ||
!grepl("^\\d{2}-\\d{2}$", onsetWind.end)) {
stop("The end date for the onset window 'onsetWind.end' is
missing or not in 'MM-DD' format!")
}
## ***** Validate cessation window end ("MM-DD"):
if (is.null(cessaWind.end) || is.na(cessaWind.end) ||
!grepl("^\\d{2}-\\d{2}$", cessaWind.end)) {
stop("The end date for the cessation window [cessaWind.end] is missing
or not in 'MM-DD' format!")
}
## ***** Validate R-index:
if (any(is.na(data$R)) || any(data$R < 0 | data$R > 1)) {
stop("The actual-to-potential evapotranspiration ratio 'R'
must be between 0 and 1!")
}
## ***** Validate AVAIL (available soil water):
if (any(is.na(data$AVAIL)) || any(data$AVAIL < 0)) {
stop("The available soil water 'AVAIL' column contains invalid or
negative values!")
}
## ***** Validate soilWHC:
if (is.null(soilWHC) || !is.numeric(soilWHC) || soilWHC <= 0) {
stop("The soil water holding capacity 'soilWHC' must be a
positive number!")
}
##############################################################################
##############################################################################
Rindex.thr <- 0.5
RAW.thr <- max((0.25 * soilWHC), 5)
## ****************************************************************************
data$date <- lubridate::as_date(paste0(
data$Year, "-",
data$Month, "-", data$Day
))
dates <- as.Date(data$date)
years <- unique(data$Year)
# WSC.dF <- data.frame(Year = years, # integer(),
# OnsetDate = as.Date(character()),
# OnsetDOY = integer(),
# OnsetValue = integer(),
# CessationDate = as.Date(character()),
# CessationDOY = integer(),
# CessationValue = integer(),
# Duration = integer())
WSC.dF <- data.frame(
Year = years,
OnsetDate = as.Date(rep(NA, length(years))),
OnsetDOY = integer(length(years)),
OnsetValue = integer(length(years)),
CessationDate = as.Date(rep(NA, length(years))),
CessationDOY = integer(length(years)),
CessationValue = integer(length(years)),
Duration = integer(length(years))
)
## ****************************************************************************
for (yearS in seq_along(years)) {
yearStart <- years[yearS]
onsetWind.start.date <- as.Date(paste0(
yearStart, "-",
onsetWind.start
), format = "%Y-%m-%d")
if (as.numeric(substring(onsetWind.end, 1, 2)) <
as.numeric(substring(onsetWind.start, 1, 2))) {
onsetWind.end.date <- as.Date(paste0(
yearStart + 1, "-",
onsetWind.end
), format = "%Y-%m-%d")
} else {
onsetWind.end.date <- as.Date(paste0(
yearStart, "-",
onsetWind.end
), format = "%Y-%m-%d")
}
onset.window <- data.frame(dates, data$R, data$AVAIL) %>%
dplyr::filter(dates >= onsetWind.start.date & dates <= onsetWind.end.date)
colnames(onset.window) <- c("dates", "R", "AVAIL")
onset.window <- onset.window %>%
dplyr::mutate(
R.aboveThreshold = .data$R > Rindex.thr,
AVAIL.aboveThreshold = .data$AVAIL > RAW.thr
)
onset.window <- onset.window %>%
dplyr::mutate(Rstreak = zoo::rollapply(.data$R.aboveThreshold,
width = 7,
FUN = all, fill = NA,
align = "left"
))
onset.date <- NA
for (i in which(onset.window$Rstreak == TRUE)) {
if ((i + 15) <= nrow(onset.window)) {
if (all(onset.window$AVAIL.aboveThreshold[i:(i + 15)],
na.rm = TRUE
)) {
onset.date <- onset.window$dates[i]
break
}
}
}
# if (is.na(onset.date)) next
cessation.start.date <- onset.date + 25
if (as.numeric(substring(cessaWind.end, 1, 2)) <
as.numeric(substring(onsetWind.start, 1, 2))) {
cessation.end.date <- as.Date(paste0(
yearStart + 1, "-",
cessaWind.end
), format = "%Y-%m-%d")
} else {
cessation.end.date <- as.Date(paste0(
yearStart, "-",
cessaWind.end
), format = "%Y-%m-%d")
}
cessation.window <- data.frame(dates, data$R, data$AVAIL) %>%
dplyr::filter(dates >= cessation.start.date & dates <= cessation.end.date)
colnames(cessation.window) <- c("dates", "R", "AVAIL")
cessation.window <- cessation.window %>%
dplyr::mutate(
R.belowThreshold = .data$R < Rindex.thr,
AVAIL.belowThreshold = .data$AVAIL < (RAW.thr +
0.1 * soilWHC)
)
cessation.window <- cessation.window %>%
dplyr::mutate(Rstreak = zoo::rollapply(.data$R.belowThreshold,
width = 7,
FUN = all, fill = NA,
align = "left"
))
cessation.date <- NA
for (i in which(cessation.window$Rstreak == TRUE)) {
if ((i + 14) <= nrow(cessation.window)) {
if (all(cessation.window$AVAIL.belowThreshold[i:(i + 14)],
na.rm = TRUE
)) {
cessation.date <- cessation.window$dates[i]
break
}
}
}
if (!is.na(cessation.date) && !is.na(onset.date)) {
duration <- as.numeric(difftime(cessation.date,
onset.date,
units = "days"
))
} else {
cessation.date <- NA
duration <- NA
}
data.out.yr <- data.frame(
Year = yearStart,
OnsetDate = onset.date,
OnsetDOY = if (!is.na(onset.date)) {
format(onset.date, "%j")
} else {
NA
},
OnsetValue = if (!is.na(onset.date)) {
length(seq.Date(onsetWind.start.date,
onset.date,
by = "day"
))
} else {
NA
},
CessationDate = cessation.date,
CessationDOY = if (!is.na(cessation.date)) {
format(cessation.date, "%j")
} else {
NA
},
CessationValue = if (!is.na(cessation.date)) {
length(seq.Date(onsetWind.start.date,
cessation.date,
by = "day"
))
} else {
NA
},
Duration = duration
)
WSC.dF[yearS, ] <- data.out.yr
# WSC.dF <- rbind(WSC.dF,
# data.frame(Year = yearStart,
# OnsetDate = onset.date,
# OnsetDOY = if (!is.na(onset.date))
# {format(onset.date, "%j")} else {NA},
# OnsetValue = if (!is.na(onset.date))
# {length(seq.Date(onsetWind.start.date,
# onset.date,
# by = "day"))} else {NA},
# CessationDate = cessation.date,
# CessationDOY = if (!is.na(cessation.date))
# {format(cessation.date, "%j")} else {NA},
# CessationValue = if (!is.na(cessation.date))
# {length(seq.Date(onsetWind.start.date,
# cessation.date,
# by = "day"))} else {NA},
# Duration = duration))
}
return(WSC.dF)
}
###############################################################################
###############################################################################
# >>>>>>>>>> End of code <<<<<<<<<< #
###############################################################################
###############################################################################
Try the AquaBEHER package in your browser
Any scripts or data that you put into this service are public.
AquaBEHER documentation built on Sept. 25, 2024, 1:08 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Defines functions calcSeasCal
Documented in calcSeasCal
###############################################################################
###############################################################################
#
# calcSeasCal.R Wet season calendar
#
# Copyright (C) 2024 Institute of Plant Sciences, Sant’Anna School of
# Advanced Studies, Pisa, Italy
# (https://www.santannapisa.it/en/institute/plant-sciences).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
###############################################################################
#' @title Wet Season Calendar
#'
#' @description Estimates the wet season calendar, including the onset date,
#' cessation date, and duration, based on an agroclimatic approach. The
#' function relies on daily soil water balance parameters.
#'
#' @param data An R dataframe returned by \code{\link{calcWatBal}} or
#' a dataframe with similar parameters.
#' @param onsetWind.start The earliest possible start date for the onset window
#' in "MM-DD" format.
#' @param onsetWind.end The latest possible end date for the onset window
#' in "MM-DD" format.
#' @param cessaWind.end The latest possible end date for the cessation window
#' in "MM-DD" format.
#' @param soilWHC The available soil water holding capacity at
#' root zone depth (in mm).
#'
#' @return A dataframe containing the following columns:
#' \describe{
#' \item{Year}{The year of the season (YYYY).}
#' \item{OnsetDate}{The onset date, formatted as "YYYY-MM-DD".}
#' \item{OnsetDOY}{The Julian day (DOY) of the onset.}
#' \item{OnsetValue}{The number of days since \code{onsetWind.start}.}
#' \item{CessationDate}{The cessation date, formatted as "YYYY-MM-DD".}
#' \item{CessationDOY}{The Julian day (DOY) of the cessation.}
#' \item{CessationValue}{The number of days since \code{onsetWind.start}.}
#' \item{Duration}{The duration of the wet season (in days).}
#' }
#'
#' @details
#' The agroclimatic approach defines the wet season based on the balance
#' between precipitation and potential evapotranspiration (PET). The wet season
#' begins when the moisture available to crops exceeds their
#' evapotranspiration demands, ensuring optimal growth conditions.
#'
#' \strong{Onset:}
#' The wet season onset is defined as the first day after \code{onsetWind.start}
#' when the ratio of actual evapotranspiration (AET) to potential
#' evapotranspiration (PET) exceeds 0.5 for at least 5 consecutive days, and the
#' soil moisture remains above 25% of the available soil water holding capacity
#' (\code{soilWHC}) for a minimum of 20 consecutive days, ensuring sufficient
#' moisture availability for plant growth.
#'
#' \strong{Cessation:}
#' The wet season ends on the first day after \code{onsetWind.end} when the
#' AET/PET ratio falls below 0.5 for at least 5 consecutive days, and the
#' soil moisture remains below 25% of the available soil water holding capacity
#' (\code{soilWHC}) for a minimum of 12 consecutive days.
#'
#' \strong{Duration:}
#' The total duration of the wet season is the number of days between
#' onset and cessation.
#'
#' @references
#' FAO, 1977. Crop water requirements. FAO Irrigation and Drainage Paper No. 24,
#' by Doorenbos J. and W.O. Pruitt. FAO, Rome, Italy.
#'
#' FAO, 1978. Forestry for Local Community Development. FAO Forestry Paper
#' No. 7, FAO, Rome.
#'
#' FAO, 1986. Early Agrometeorological Crop Yield Forecasting. FAO Plant
#' Production and Protection Paper No. 73, by M. Frère and G.F.
#' Popov. FAO, Rome.
#'
#' @seealso \code{\link{calcEto}, \link{calcWatBal}}
#'
#' @importFrom dplyr group_by summarize mutate
#' @importFrom magrittr %>%
#' @importFrom lubridate as_date
#' @importFrom zoo rollapply
#' @importFrom rlang .data
#'
#' @examples
#' \donttest{
#' ## Load example data:
#' data(AgroClimateData)
#'
#' ## Estimate daily PET:
#' PET <- calcEto(AgroClimateData, method = "PM", Zh = 10)
#'
#' ## Add the estimated PET 'ET.Daily' to a new column in AgroClimateData:
#' AgroClimateData$Eto <- PET$ET.Daily
#'
#' ## Estimate daily water balance for the soil having 100mm of WHC:
#' watBal.list <- calcWatBal(data = AgroClimateData, soilWHC = 100)
#' watBal <- watBal.list$data
#'
#' ## seasonal calendar is estimated for the onset window ranges from
#' ## 01 September to 31 January having a soil with 100mm of WHC:
#'
#' soilWHC <- 100
#' onsetWind.start <- "09-01"
#' onsetWind.end <- "01-31"
#' cessaWind.end <- "06-30"
#'
#' seasCal.dF <- calcSeasCal(
#' data = watBal, onsetWind.start, onsetWind.end,
#' cessaWind.end, soilWHC
#' )
#'
#' str(seasCal.dF)
#' }
#' @export
###############################################################################
###############################################################################
# ***** function to estimate WSC
calcSeasCal <- function(data, onsetWind.start, onsetWind.end,
cessaWind.end, soilWHC) {
## ***** Validate parameters ***** ##
requiredColumns <- c("Year", "Month", "Day", "R", "AVAIL")
missingCols <- setdiff(requiredColumns, colnames(data))
if (length(missingCols) > 0) {
stop(paste(
"The required data columns",
paste(missingCols, collapse = ", "), "are missing!"
))
}
## ***** Validate onset window start ("MM-DD"):
if (is.null(onsetWind.start) || is.na(onsetWind.start) ||
!grepl("^\\d{2}-\\d{2}$", onsetWind.start)) {
stop("The start date for the onset window 'onsetWind.start' is
missing or not in 'MM-DD' format!")
}
## ***** Validate onset window end ("MM-DD"):
if (is.null(onsetWind.end) || is.na(onsetWind.end) ||
!grepl("^\\d{2}-\\d{2}$", onsetWind.end)) {
stop("The end date for the onset window 'onsetWind.end' is
missing or not in 'MM-DD' format!")
}
## ***** Validate cessation window end ("MM-DD"):
if (is.null(cessaWind.end) || is.na(cessaWind.end) ||
!grepl("^\\d{2}-\\d{2}$", cessaWind.end)) {
stop("The end date for the cessation window [cessaWind.end] is missing
or not in 'MM-DD' format!")
}
## ***** Validate R-index:
if (any(is.na(data$R)) || any(data$R < 0 | data$R > 1)) {
stop("The actual-to-potential evapotranspiration ratio 'R'
must be between 0 and 1!")
}
## ***** Validate AVAIL (available soil water):
if (any(is.na(data$AVAIL)) || any(data$AVAIL < 0)) {
stop("The available soil water 'AVAIL' column contains invalid or
negative values!")
}
## ***** Validate soilWHC:
if (is.null(soilWHC) || !is.numeric(soilWHC) || soilWHC <= 0) {
stop("The soil water holding capacity 'soilWHC' must be a
positive number!")
}
##############################################################################
##############################################################################
Rindex.thr <- 0.5
RAW.thr <- max((0.25 * soilWHC), 5)
## ****************************************************************************
data$date <- lubridate::as_date(paste0(
data$Year, "-",
data$Month, "-", data$Day
))
dates <- as.Date(data$date)
years <- unique(data$Year)
# WSC.dF <- data.frame(Year = years, # integer(),
# OnsetDate = as.Date(character()),
# OnsetDOY = integer(),
# OnsetValue = integer(),
# CessationDate = as.Date(character()),
# CessationDOY = integer(),
# CessationValue = integer(),
# Duration = integer())
WSC.dF <- data.frame(
Year = years,
OnsetDate = as.Date(rep(NA, length(years))),
OnsetDOY = integer(length(years)),
OnsetValue = integer(length(years)),
CessationDate = as.Date(rep(NA, length(years))),
CessationDOY = integer(length(years)),
CessationValue = integer(length(years)),
Duration = integer(length(years))
)
## ****************************************************************************
for (yearS in seq_along(years)) {
yearStart <- years[yearS]
onsetWind.start.date <- as.Date(paste0(
yearStart, "-",
onsetWind.start
), format = "%Y-%m-%d")
if (as.numeric(substring(onsetWind.end, 1, 2)) <
as.numeric(substring(onsetWind.start, 1, 2))) {
onsetWind.end.date <- as.Date(paste0(
yearStart + 1, "-",
onsetWind.end
), format = "%Y-%m-%d")
} else {
onsetWind.end.date <- as.Date(paste0(
yearStart, "-",
onsetWind.end
), format = "%Y-%m-%d")
}
onset.window <- data.frame(dates, data$R, data$AVAIL) %>%
dplyr::filter(dates >= onsetWind.start.date & dates <= onsetWind.end.date)
colnames(onset.window) <- c("dates", "R", "AVAIL")
onset.window <- onset.window %>%
dplyr::mutate(
R.aboveThreshold = .data$R > Rindex.thr,
AVAIL.aboveThreshold = .data$AVAIL > RAW.thr
)
onset.window <- onset.window %>%
dplyr::mutate(Rstreak = zoo::rollapply(.data$R.aboveThreshold,
width = 7,
FUN = all, fill = NA,
align = "left"
))
onset.date <- NA
for (i in which(onset.window$Rstreak == TRUE)) {
if ((i + 15) <= nrow(onset.window)) {
if (all(onset.window$AVAIL.aboveThreshold[i:(i + 15)],
na.rm = TRUE
)) {
onset.date <- onset.window$dates[i]
break
}
}
}
# if (is.na(onset.date)) next
cessation.start.date <- onset.date + 25
if (as.numeric(substring(cessaWind.end, 1, 2)) <
as.numeric(substring(onsetWind.start, 1, 2))) {
cessation.end.date <- as.Date(paste0(
yearStart + 1, "-",
cessaWind.end
), format = "%Y-%m-%d")
} else {
cessation.end.date <- as.Date(paste0(
yearStart, "-",
cessaWind.end
), format = "%Y-%m-%d")
}
cessation.window <- data.frame(dates, data$R, data$AVAIL) %>%
dplyr::filter(dates >= cessation.start.date & dates <= cessation.end.date)
colnames(cessation.window) <- c("dates", "R", "AVAIL")
cessation.window <- cessation.window %>%
dplyr::mutate(
R.belowThreshold = .data$R < Rindex.thr,
AVAIL.belowThreshold = .data$AVAIL < (RAW.thr +
0.1 * soilWHC)
)
cessation.window <- cessation.window %>%
dplyr::mutate(Rstreak = zoo::rollapply(.data$R.belowThreshold,
width = 7,
FUN = all, fill = NA,
align = "left"
))
cessation.date <- NA
for (i in which(cessation.window$Rstreak == TRUE)) {
if ((i + 14) <= nrow(cessation.window)) {
if (all(cessation.window$AVAIL.belowThreshold[i:(i + 14)],
na.rm = TRUE
)) {
cessation.date <- cessation.window$dates[i]
break
}
}
}
if (!is.na(cessation.date) && !is.na(onset.date)) {
duration <- as.numeric(difftime(cessation.date,
onset.date,
units = "days"
))
} else {
cessation.date <- NA
duration <- NA
}
data.out.yr <- data.frame(
Year = yearStart,
OnsetDate = onset.date,
OnsetDOY = if (!is.na(onset.date)) {
format(onset.date, "%j")
} else {
NA
},
OnsetValue = if (!is.na(onset.date)) {
length(seq.Date(onsetWind.start.date,
onset.date,
by = "day"
))
} else {
NA
},
CessationDate = cessation.date,
CessationDOY = if (!is.na(cessation.date)) {
format(cessation.date, "%j")
} else {
NA
},
CessationValue = if (!is.na(cessation.date)) {
length(seq.Date(onsetWind.start.date,
cessation.date,
by = "day"
))
} else {
NA
},
Duration = duration
)
WSC.dF[yearS, ] <- data.out.yr
# WSC.dF <- rbind(WSC.dF,
# data.frame(Year = yearStart,
# OnsetDate = onset.date,
# OnsetDOY = if (!is.na(onset.date))
# {format(onset.date, "%j")} else {NA},
# OnsetValue = if (!is.na(onset.date))
# {length(seq.Date(onsetWind.start.date,
# onset.date,
# by = "day"))} else {NA},
# CessationDate = cessation.date,
# CessationDOY = if (!is.na(cessation.date))
# {format(cessation.date, "%j")} else {NA},
# CessationValue = if (!is.na(cessation.date))
# {length(seq.Date(onsetWind.start.date,
# cessation.date,
# by = "day"))} else {NA},
# Duration = duration))
}
return(WSC.dF)
}
###############################################################################
###############################################################################
# >>>>>>>>>> End of code <<<<<<<<<< #
###############################################################################
###############################################################################
Try the AquaBEHER package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.