hyper_tibble: Extract NetCDF data as an expanded table.

View source: R/hyper_tibble.R

hyper_tibbleR Documentation

Extract NetCDF data as an expanded table.

Description

Extract the raw array data as an expanded data frame. This can be the entire variable/s or after dimension-slicing using hyper_filter() expressions with dimension values expanded appropriately for each element in the arrays (one row per element).

Usage

hyper_tibble(x, ..., na.rm = TRUE, force = FALSE)

## S3 method for class 'character'
hyper_tibble(x, ..., na.rm = TRUE, force = FALSE)

## S3 method for class 'tidync'
hyper_tibble(x, ..., na.rm = TRUE, force = FALSE)

Arguments

x

NetCDF file, connection object, or tidync object

...

arguments to 'hyper_filter“

na.rm

if TRUE these rows are not included in the output when all variables are NA

force

ignore caveats about large extraction and just do it

Details

The size of an extraction is checked and if quite large there is an a user-controlled prompt to proceed or cancel. This can be disabled with options(tidync.large.data.check = FALSE)

  • please see hyper_array() for more details.

The function hyper_tibble() will act on an existing tidync object or a source string.

By default all variables in the active grid are returned, use select_var to limit.

Value

a tbl_df

See Also

hyper_array() and hyper_tbl_cube() which are also delay-breaking functions that cause data to be read

Examples

l3file <- "S20080012008031.L3m_MO_CHL_chlor_a_9km.nc"
f <- system.file("extdata", "oceandata", l3file, package= "tidync")
rnc <- tidync(f)
hyper_filter(rnc)
library(dplyr)
lapply(hyper_array(f, lat = lat > 0, lon = index > 3000), dim)

 ht <- hyper_tibble(rnc) %>%
 filter(!is.na(chlor_a))
ht
library(ggplot2)
ggplot(ht %>% filter(!is.na(chlor_a)),
aes(x = lon, y = lat, fill = chlor_a)) + geom_tile()

r-gris/tidync documentation built on April 5, 2022, 10:55 a.m.