tidync-package: tidync: A Tidy Approach to 'NetCDF' Data Exploration and...

In r-gris/tidync: A Tidy Approach to 'NetCDF' Data Exploration and Extraction

tidync: A Tidy Approach to 'NetCDF' Data Exploration and Extraction

Description

Tidy tools for 'NetCDF' data sources. Explore the contents of a 'NetCDF' source (file or URL) presented as variables organized by grid with a database-like interface. The hyper_filter() interactive function translates the filter value or index expressions to array-slicing form. No data is read until explicitly requested, as a data frame or list of arrays via hyper_tibble() or hyper_array().

Provides easy to use idioms for working with NetCDF data for extraction, manipulation and visualization. NetCDF is Network Common Data Form https://www.unidata.ucar.edu/software/netcdf/.

Details

See print.tidync() for details on the printed version of a tidync object.

There is a family of functions "hyper_verb" around exploring and extracting data.

active	report the currently active grid
activate	active a grid
tidync	core NetCDF source object for tidync functions
hyper_filter	apply dimension expressions to specify array slices
hyper_array	extracts a raw data array based on a NetCDF index
hyper_tbl_cube	extracts data as a dplyr tbl_cube
hyper_tibble	extracts data as a data frame with all dimension values
hyper_transforms	extract the active (or all) dimension transforms
hyper_vars	information on active variables
hyper_dims	information on active dimensions
hyper_grids	information on grids

The scheme generally processes dimension filters into NetCDF extraction indexes and these are always available to each function, and are expressed in printed output.

The following options are available.

tidync.large.data.check = TRUE/FALSE	check for large data extraction (default TRUE)
tidync.silent = FALSE/TRUE	emit warnings,messages or be silent (default FALSE)

Author(s)

Maintainer: Michael Sumner [e-mail]

Other contributors:

• Simon Wotherspoon [contributor]

• Tomas Remenyi [contributor]

• Ben Raymond [contributor]

• Jakub Nowosad [contributor]

• Tim Lucas [contributor]

• Hadley Wickham [contributor]

• Adrian Odenweller [contributor]

• Patrick Van Laake [contributor]

• Fabian Bernhard [contributor]

See Also

Useful links:

• https://docs.ropensci.org/tidync/

• Report bugs at https://github.com/ropensci/tidync/issues

Examples

argofile <- system.file("extdata/argo/MD5903593_001.nc", package = "tidync")
argo <- tidync(argofile)
argo %>% active()
argo %>% activate("D3,D8") %>% hyper_array()
argo %>% hyper_filter(N_LEVELS = index < 4)
argo %>% hyper_tbl_cube()
argo %>% hyper_tibble(select_var = c("TEMP_QC"))
argo %>% hyper_transforms()
argo %>% hyper_vars()
argo %>% hyper_dims()
argo %>% hyper_grids()

## some global options
getOption("tidync.large.data.check")

getOption("tidync.silent")
op <- options(tidync.silent = TRUE)
getOption("tidync.silent")
options(op)

r-gris/tidync documentation built on Oct. 15, 2024, 9:27 p.m.