era5ify_geojson: PascalCase Aliases

In varunayan: Download and Process 'ERA5', IMD, 'HadEX3' and 'CRU TS' Data

PascalCase Aliases

Description

PascalCase aliases for all exported functions. The aliases keep backward compatibility.

Usage

ERA5ifyGeojson(...)

era5ify_geojson(
  request_id,
  variables,
  start_date,
  end_date,
  json_file,
  dataset_type = "single",
  pressure_levels = NULL,
  frequency = "hourly",
  resolution = 0.25,
  save_raw = FALSE,
  output_dir = tempdir(),
  use_cache = TRUE,
  convert_units = TRUE,
  verbose = FALSE,
  level = c("union", "feature")
)

Arguments

...	Arguments passed to the main function (used by aliases).
request_id	Unique identifier for the data request
variables	List of ERA5 variables to download
start_date	Start date in "YYYY-MM-DD" format
end_date	End date in "YYYY-MM-DD" format
json_file	Path to the GeoJSON file that defines the region
dataset_type	Type of dataset ("single" or "pressure")
pressure_levels	Pressure levels for pressure dataset
frequency	Temporal frequency ("hourly", "daily", "monthly")
resolution	Spatial resolution in degrees (default: 0.25)
save_raw	If TRUE, save the raw downloaded files
output_dir	Directory for the saved files (default: tempdir())
use_cache	If TRUE, use cached data when it is available (default: TRUE)
convert_units	If TRUE, convert units to user-friendly formats (default: TRUE). When TRUE, the function returns temperature variables in Celsius (converted from Kelvin). It returns precipitation variables in mm (converted from meters).
verbose	If TRUE, print detailed progress messages
level	"union" (default) returns one row for each grid cell inside the union of all the features. "feature" returns one row for each feature (for example, each district), with the mean of the cells inside it. Such rows have a feature_id column (the row number of the feature) and the feature properties in place of latitude and longitude. A feature smaller than a grid cell gets the nearest cell.

Value

data.frame with processed climate data. When convert_units = TRUE:

• Temperature variables (e.g., 2m_temperature): Celsius

• Precipitation variables (e.g., total_precipitation): mm

• Other variables: original ERA5 units

Examples

region <- system.file("extdata", "region.geojson", package = "varunayan")
setup_cds_credentials(key = "your-cds-api-key")

data <- era5ify_geojson(
  request_id = "my_request",
  variables = c("2m_temperature", "total_precipitation"),
  start_date = "2023-01-01",
  end_date = "2023-01-31",
  json_file = region
)
# Temperature is in Celsius. Precipitation is in mm.

varunayan documentation built on Oct. 30, 2026, 1:07 a.m.