sandbox/jlh/19_profileAnalysis/01.R

In dankelley/argoFloats: Analysis of Oceanographic Argo Floats

library(argoFloats)
library(oce)
## https://argovis.colorado.edu/selection/profiles/1/2020
library(rjson)
base <- "https://argovis.colorado.edu/selection/profiles"
month <- 1
year <- 2020
source <- paste0(base, "/", month, "/", year)
file <- paste0(month, "_", year, ".json")
if (!file.exists(file)) download.file(source, file) else cat("Using pre-downloaded file '", file, "'\n", sep="")
a <- fromJSON(file=file)
ids <- sapply(a, function(x) x[["_id"]])
modes <- sapply(a, function(x) x[["DATA_MODE"]])
lons <- sapply(a, function(x) x[["lon"]])
lats <- sapply(a, function(x) x[["lat"]])
params <- sapply(a, function(x) paste0(x[["station_parameters"]], collapse=","))
dacs <- sapply(a, function(x) paste0(x[["dac"]], collapse=","))
times <- oce::numberAsPOSIXct(sapply(a, function(x) as.POSIXct(gsub("Z$", "", x[["date"]]), "%Y-%m-%dT%H:%M:%S", tz="UTC")))
deeps <- sapply(a, function(x) paste0(x[["isDeep"]], collapse=","))
BGCs <- sapply(a, function(x) paste0(x[["containsBGC"]], collapse=","))
n <- 20
cat("Some elements of the first", n, "profiles are:\n")
options(width=150)
df <- data.frame(ID=ids, mode=modes, deep=deeps, longitude=lons, latitude=lats, dac=dacs, time=times, params=params, BGC=BGCs)
print(head(df, n))
stop()
head(df, 4)



class(params) # character
params[[1]]
parameters <- unlist(strsplit(params, "[.]"))