matchEnvData: Match Data From an Existing Netcdf File or Download and Match

In TaikiSan21/PAMr: Load and Process Passive Acoustic Data

Description

Extracts all variables from a netcdf file matching Longitude, Latitude, and UTC coordinates in given dataframe

Usage

## S4 method for signature 'AcousticEvent'
matchEnvData(
  data,
  nc = NULL,
  var = NULL,
  buffer = c(0, 0, 0),
  FUN = c(mean, median, sd),
  fileName = NULL,
  ...
)

## S4 method for signature 'AcousticStudy'
matchEnvData(
  data,
  nc = NULL,
  var = NULL,
  buffer = c(0, 0, 0),
  FUN = c(mean, median, sd),
  fileName = NULL,
  ...
)

Arguments

data	an AcousticStudy or AcousticEvent object that must have GPS data added to it using the addGps functions
nc	name of a netcdf file, ERDDAP dataset id, or an edinfo object
var	(optional) vector of variable names
buffer	vector of Longitude, Latitude, and Time (seconds) to buffer around each datapoint. All values within the buffer will be used to report the mean, median, and standard deviation
FUN	a vector or list of functions to apply to the data. Default is to apply mean, median, and standard deviation calculations
fileName	(optional) file name to save downloaded nc file to. If not provided, then no nc files will be stored, instead small temporary files will be downloaded and then deleted. This can be much faster, but means that the data will need to be downloaded again in the future. If fileName is provided, then the function will attempt to download a single nc file covering the entire range of your data. If your data spans a large amount of time and space this can be problematic.
...	other parameters to pass to ncToData

Value

original data object with environmental data added to the ancillary slot of each event. Complete data will be stored in ancillary(data)$environmental, and the mean of each downloaded variable will be stored in ancillary(data)$measures so that it can be exported for modeling

Author(s)

Taiki Sakai [e-mail]

TaikiSan21/PAMr documentation built on Nov. 15, 2020, 9:46 p.m.