Get timeseries summary from CalCOFI API — get

This function is deprecated because the CalCOFI API is being phased out in favor of direct DuckDB database access. Query bottle measurement data with cc_get_db() and aggregate using dplyr for time series analysis.

get_timeseries(
  variable = "ctdcast_bottle.t_deg_c",
  aoi_wkt = NULL,
  depth_m_min = NULL,
  depth_m_max = NULL,
  date_beg = NULL,
  date_end = NULL,
  time_step = "year",
  stats = c("p10", "mean", "p90")
)

Arguments

variable: Variable to fetch from the CalCOFI API. One of table_field values from get_variables(). Default is "ctdcast_bottle.t_deg_c".
aoi_wkt: Area of interest (AOI), spatially described as well-known text (WKT).
depth_m_min: Minimum depth range in meters, e.g. 0. Default is NULL, as in not filtered.
depth_m_max: Maximum depth range in meters, e.g. 5351. Default is NULL, as in not filtered.
date_beg: Beginning of date range, e.g."1949-02-28". Default is NULL, as in not filtered.
date_end: End of date range, e.g. "2020-01-26". Default is NULL, as in not filtered.
time_step: Time step over which to summarize. One of: a sequential increment ("decade","year","year.quarter","year.month","year.week","date"), or a climatology ("quarter","month","week","julianday","hour"). Default is "year".
stats: Statistics to show per date_step. Acceptable values include any combination of: "avg", "median", "min", "max", "sd" or "p#" where "sd" is the standard deviation and "p#" represents the percentile value 0 to 100 within available range of values. Default is c("p10", "mean", "p90").

Value

data frame of values

Examples

if (FALSE) { # \dontrun{
# deprecated - use DuckDB queries instead:
con <- cc_get_db()
d <- DBI::dbGetQuery(con, "
  SELECT EXTRACT(YEAR FROM c.datetime_utc) AS year,
         AVG(bm.measurement_value) AS avg_temp
  FROM bottle_measurement bm
  JOIN bottle b ON bm.bottle_id = b.bottle_id
  JOIN casts c ON b.cast_id = c.cast_id
  WHERE bm.measurement_type = 'temperature'
  GROUP BY year ORDER BY year")
} # }