getMustangMetrics {IRISMustangMetrics} | R Documentation |
Retrieve measurements from the MUSTANG BSS
Description
The getMustangMetrics
method of the IrisClient
makes a request of the MUSTANG database
and returns a dataframe containing metrics measurements. This function is an alias of the getGeneralValueMetrics
function.
Usage
getMustangMetrics(obj, network, station, location, channel,
starttime, endtime, metricName, ...)
Arguments
obj |
an |
network |
a character string with the two letter seismic network code |
station |
a character string with the station code |
location |
a character string with the location code, can be "" for wildcard all |
channel |
a character string with the three letter channel code, can be "" for wildcard all |
starttime |
a POSIXct class specifying the starttime (GMT) |
endtime |
a POSIXct class specifying the endtime (GMT) |
metricName |
a character string containing one or more comma separated metric names |
... |
optional arguments
|
Details
A blank location code should be specified as location="--"
; Using location=""
will return all location codes.
The default MUSTANG measurement service when url
is not specified is:
http://service.iris.edu/mustang/measurements/1/query?
Data returned from MUSTANG are converted into an R dataframe.
The optional constraint
parameter is used to add constraints to the query as defined
in the MUSTANG measurements web service documentation.
Any string passed in with the
constraint
parameter will be appended to the request url following an ampersand.
Error returns from the BSS will stop evaluation and generate an error message.
Value
A dataframe with the following columns:
~metricName~, value, additional values, snclq, starttime, endtime, loadtime
The loadtime
column contains the time at which this record was loaded into the database.
The dataframe rows will be sorted by metricName and increasing starttime.
Note
The database was originally populated with a version of this package that always assigned quality to be 'B'. Later versions obtained the quality from the miniSEED packet (typically 'M'). Because of this it is possible to have duplicate entries that only differ in the Q part of their snclq. To avoid double counting, when the webservice return contains two records whose only difference is the quality code portion of the of the snclq, only the record with the later loaddate will be used in the dataframe.
Author(s)
Jonathan Callahan jonathan.s.callahan@gmail.com
See Also
Examples
# Open a connection to IRIS DMC webservices (including the BSS)
iris <- new("IrisClient", debug=TRUE)
starttime <- as.POSIXct("2016-08-01", tz="GMT")
endtime <- starttime + 30*24*3600
metricName <- "orientation_check"
# Get the measurement dataframe
juneStats <- tryCatch(getMustangMetrics(iris,"IU","ANMO","","BH[12Z]",starttime,endtime,metricName),
error=function(e) {message(e)})
juneStats