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# general wrapper function for mapping NEON data products to ecocomDP
# #############################################################################################
# @title Map NEON data products to ecocomDP
#
# @description
# Pull files from the NEON API by data product, merge data for each table, and convert to ecocomDP format.
# Please see neonUtilities::loadByProduct for more information.
#
# @param id (character) Identifier of dataset to read. Identifiers are listed in the "id" column of the \code{search_data()} output.
# e.g., \code{neon.ecocomdp.20166.001.001} is the \code{id} for "ALGAE Periphyton, seston, and phytoplankton collection"
# converted to the ecocomDP format from the NEON source data product DP1.20166.001.
# @param neon.data.save.dir (character) Directory to save NEON source data that has been downloaded via \code{neonUtilities::loadByProduct()}
# @param neon.data.read.path (character) Path to read in an RDS file of 'stacked NEON data' from \code{neonUtilities::loadByProduct()}
# @param neon.data.list (list) A list of stacked NEON data tables to be mapped to ecocomDP. Must match the chosen mapping method in 'id'
# @param ... Additional arguments passed to neonUtilities::loadByProduct().
# @details All available data meeting the query criteria will be downloaded. Most data products are collected at only a subset of sites, and
# dates of collection vary. Consult the NEON data portal for sampling details.
# Dates are specified only to the month because NEON data are provided in monthly packages. Any month included in the search criteria will be included
# in the download. Start and end date are inclusive.
# @return Returns a named list, including:
# \item{metadata}{A list of information about the NEON data product returned by neonUtilities::getProductInfo.}
# \item{tables}{A list of data.frames following the ecocomDP format.}
# \item{tables$location}{A table, which has the lat long for each NEON site (\code{location_id}) included in the data set}
# \item{tables$taxon}{A table, which describes each \code{taxon_id} that appears in the data set}
# \item{tables$observation}{A table, with a record for each \code{observation_id} that appears in the data set}
# @examples
# \dontrun{
# # Retrieve and map NEON ALGAE data to ecocomDP format
# my_result <- map_neon_data_to_ecocomDP(
# id = "neon.ecocomdp.20166.001.001",
# site = c("MAYF", "PRIN"),
# startdate = "2016-1",
# enddate = "2018-11",
# check.size = FALSE)
# }
#
# \dontrun{
# }
# @references
#
##############################################################################################
map_neon_data_to_ecocomDP <- function(
id,
neon.data.save.dir = NULL,
neon.data.read.path = NULL,
neon.data.list = NULL,
... #arguments set to neonUtilities::loadByProduct
){
# . <- NULL
# get NEON DPID
neon.data.product.id <- id %>%
gsub("neon\\.ecocomdp", "DP1",.) %>%
gsub("\\.[0-9]{3}$","",.)
# check arguments passed via dots for neonUtilities
dots_updated <- list(..., dpID = neon.data.product.id)
#Error handling if user provides a value for "package" other than "expanded"
if("package" %in% names(dots_updated) && dots_updated$package != "expanded") message(
paste0("WARNING: expanded package for ", neon.data.product.id,
" is required to execute this request. Downloading the expanded package"))
dots_updated[["package"]] <- "expanded"
# Getting the raw NEON data ----
# check if neon.data.list is provided
if(is.null(neon.data.list)){
#if not, check if a filepath to an RDS file is provided
if(!is.null(neon.data.read.path)){
neon.data.list <- readRDS(neon.data.read.path)
data_access_method_described <- paste0(
"original NEON data accessed from file: ",
neon.data.read.path)
# if not, read data from NEON API
}else{
neon.data.list <- rlang::exec(
neonUtilities::loadByProduct,
!!!dots_updated)
data_access_method_described <- paste0(
"original NEON data accessed using neonUtilities v",
utils::packageVersion("neonUtilities"))
}
}else{
data_access_method_described <- paste0(
"original NEON data accessed from R object")
}
# save NEON download if given a filepath
if(!is.null(neon.data.save.dir)){
neon.data.save.dir <- gsub("/$","",neon.data.save.dir)
neon_data_filename <- paste0(neon.data.save.dir,"/",
neon.data.product.id,"_",
format(Sys.time(), "%Y%m%d%H%M%S"),
".RDS")
saveRDS(neon.data.list, file = neon_data_filename)
}
# call custom mapping function if available for given NEON id
if(id == "neon.ecocomdp.20166.001.001"){
#ALGAE method v01
ecocomDP_tables <- map_neon.ecocomdp.20166.001.001(neon.data.list, ...)
}else if(id == "neon.ecocomdp.20120.001.001"){
#MACROINVERTEBRATE v01
ecocomDP_tables <- map_neon.ecocomdp.20120.001.001(neon.data.list, ...)
}else if(id == "neon.ecocomdp.10043.001.001"){
#MOSQUITO v01
ecocomDP_tables <- map_neon.ecocomdp.10043.001.001(neon.data.list, ...)
}else if(id == "neon.ecocomdp.10022.001.001"){
#BEETLE v01
ecocomDP_tables <- map_neon.ecocomdp.10022.001.001(neon.data.list, ...)
}else if(id == "neon.ecocomdp.10022.001.002"){
#HERPETOLOGY v01
ecocomDP_tables <- map_neon.ecocomdp.10022.001.002(neon.data.list, ...)
}else if(id == "neon.ecocomdp.10003.001.001"){
#BIRD v01
ecocomDP_tables <- map_neon.ecocomdp.10003.001.001(neon.data.list, ...)
}else if(id == "neon.ecocomdp.20107.001.001"){
#FISH v01
ecocomDP_tables <- map_neon.ecocomdp.20107.001.001(neon.data.list, ...)
}else if(id == "neon.ecocomdp.10058.001.001"){
#PLANT v01
ecocomDP_tables <- map_neon.ecocomdp.10058.001.001(neon.data.list, ...)
}else if(id == "neon.ecocomdp.10072.001.001"){
#SMALL_MAMMAL v01
ecocomDP_tables <- map_neon.ecocomdp.10072.001.001(neon.data.list, ...)
}else if(id == "neon.ecocomdp.10093.001.001"){
#TICK v01
ecocomDP_tables <- map_neon.ecocomdp.10093.001.001(neon.data.list, ...)
}else if(id == "neon.ecocomdp.20219.001.001"){
# ZOOPLANKTON (uses MACROINVERTEBRATE NEON taxon table) v01
ecocomDP_tables <- map_neon.ecocomdp.20219.001.001(neon.data.list, ...)
}else if(id == "neon.ecocomdp.10092.001.001"){
# TICK_PATHOGENS (no NEON taxon table) v01
ecocomDP_tables <- map_neon.ecocomdp.10092.001.001(neon.data.list, ...)
}else{
message(paste0("WARNING: ecocomDP mapping not currently available for ",id))
ecocomDP_tables <- list(
location = data.frame(),
taxon = data.frame(),
observation = data.frame())
}
# get taxon group
neon_dp_table <- search_data("NEON")
taxon_group <- neon_dp_table$title[neon_dp_table$id == id] %>%
stringr::str_split(" ") %>%
unlist() %>%
dplyr::first()
# return tables as data frames
for (tbl in names(ecocomDP_tables)) {
ecocomDP_tables[[tbl]] <- as.data.frame(ecocomDP_tables[[tbl]])
}
# combine neon metadata and ecocomDP tables
out_list <- list(
metadata = list(
data_package_info = list(
data_package_id = ecocomDP_tables$dataset_summary$package_id,
taxonomic_group = taxon_group,
orig_NEON_data_product_id = neon.data.product.id,
NEON_to_ecocomDP_mapping_method = id,
data_access_method = data_access_method_described,
data_access_date_time = Sys.time()),
orig_NEON_data_product_info = neonUtilities::getProductInfo(
dpID = neon.data.product.id,
token = ifelse("token" %in% names(dots_updated), dots_updated$token, NA_character_))),
tables = ecocomDP_tables)
# return
return(out_list)
}
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