Type: | Package |
Title: | Vertical Profiles of Biological Signals in Weather Radar Data |
Version: | 1.1.1 |
Date: | 2025-06-25 |
Description: | 'R' implementation of the 'vol2bird' software for generating vertical profiles of birds and other biological signals in weather radar data. See Dokter et al. (2011) <doi:10.1098/rsif.2010.0116> for a paper describing the methodology. |
License: | LGPL (≥ 3) |
Language: | en-US |
URL: | https://github.com/adokter/vol2birdR/, https://adriaandokter.com/vol2bird/ |
BugReports: | https://github.com/adokter/vol2birdR/issues |
Depends: | R (≥ 4.0.0) |
Imports: | assertthat, methods, pkgbuild, Rcpp (≥ 1.0.4), rlang, utils, withr |
LinkingTo: | Rcpp, RcppGSL |
RoxygenNote: | 7.3.2 |
VignetteBuilder: | knitr |
SystemRequirements: | GNU make, GSL, HDF5, PROJ |
NeedsCompilation: | yes |
RcppModules: | RaveIO, PolarVolume, Vol2Bird, Vol2BirdConfig |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Config/testthat/edition: | 3 |
Copyright: | file COPYRIGHTS |
Encoding: | UTF-8 |
Packaged: | 2025-06-25 19:45:02 UTC; amd427 |
Author: | Anders Henja [aut] (vol2birdR package author and author of RAVE and
HLHDF libraries),
Adriaan M. Dokter |
Maintainer: | Adriaan M. Dokter <vol2birdr@cornell.edu> |
Repository: | CRAN |
Date/Publication: | 2025-06-25 20:10:02 UTC |
vol2birdR: Vertical Profiles of Biological Signals in Weather Radar Data
Description
'R' implementation of the 'vol2bird' software for generating vertical profiles of birds and other biological signals in weather radar data. See Dokter et al. (2011) doi:10.1098/rsif.2010.0116 for a paper describing the methodology.
Details
To get started, see:
Dokter et al. (2016) doi:10.1098/rsif.2010.0116: a paper describing the profiling algorithm.
-
'vol2bird' 'C' code documentation: an overview of the algorithm structure.
Lin T-Y et al. (2019) doi:10.1111/2041-210X.13280: a paper describing the 'MistNet' model for rain segmentation.
Author(s)
Maintainer: Adriaan M. Dokter vol2birdr@cornell.edu (ORCID)
Authors:
Anders Henja anders.henja@gmail.com (vol2birdR package author and author of RAVE and HLHDF libraries)
Other contributors:
Alexander Tedeschi at744@cornell.edu (ORCID) [contributor]
Tsung-Yu Lin (contributor MistNet segmentation model) [contributor]
Subranshu Maji smaji@cs.umass.edu (contributor MistNet segmentation model) [contributor]
Daniel Sheldon sheldon@cs.umass.edu (contributor MistNet segmentation model) [contributor]
Bart Kranstauber b.kranstauber@uva.nl (ORCID) [contributor]
Jurriaan H. Spaaks (contributor to vol2bird library) [contributor]
Lourens Veen (contributor to vol2bird library) [contributor]
Iwan Holleman (contributor to vol2bird library) [contributor]
Hidde Leijnse (contributor to vol2bird library) [contributor]
John H. Merritt (author of RSL library) [contributor, copyright holder]
Bart Kelley (contributor and maintainer of RSL library) [contributor]
Mark Couture (author of iris2odim add-on to RAVE library) [contributor]
Daniel Falbel (contributor of original idea for building with torch support) [contributor]
Swedish Meteorological and Hydrological Institute, SMHI (copyright holder of HLHDF and RAVE libraries) [copyright holder]
GloBAM (https://globam.science) [funder]
See Also
Useful links:
Report bugs at https://github.com/adokter/vol2birdR/issues
PolarVolume
Description
The polar volume object as defined by RAVE.
The Rcpp PolarVolume class A polar volume
RaveIO routines
Description
Provides I/O routines using the rave framework
The Rcpp RaveIO class Used when loading and saving objects
Vol2Bird processor class
Description
The vol2bird processing class. Provides methods for processing polar volumes/scans.
The Rcpp vol2bird processing class.
See Also
Vol2Bird configuration
Description
The vol2bird configuration used during processing
The Rcpp vol2bird configuration class. Configuration instance used when processing data.
See Also
The default branch
Description
The default branch
Usage
branch
Format
An object of class character
of length 1.
Initializes the mistnet shared library pointed to by the path
Description
Initializes the mistnet shared library pointed to by the path
Usage
cpp_mistnet_init(path)
Arguments
path |
The shared library |
The software has to be compiled with -DRAVE_MEMORY_DEBUG and without -DNO_RAVE_PRINTF. Manual handling for now.
Description
The software has to be compiled with -DRAVE_MEMORY_DEBUG and without -DNO_RAVE_PRINTF. Manual handling for now.
Usage
cpp_printMemory()
Returns the wsr88d site location file
Description
Returns the wsr88d site location file
Usage
cpp_vol2bird_get_wsr88d_site_location()
Value
location of site location file
Initializes the vol2birdR library
Description
Initializes the vol2birdR library
Usage
cpp_vol2bird_initialize()
Sets the main thread id
Description
Sets the main thread id
Usage
cpp_vol2bird_namespace__store_main_thread_id()
Sets the wsr88d site location file
Description
Sets the wsr88d site location file
Usage
cpp_vol2bird_set_wsr88d_site_location(loc)
Arguments
loc |
location of file |
Initializes the mistnet shared library pointed to by the path
Description
Initializes the mistnet shared library pointed to by the path
Usage
cpp_vol2bird_version()
List of installation files to download
Description
List the 'LibTorch' and 'MistNet' files to download as local files
in order to proceed with install_mistnet_from_file()
.
Usage
get_install_urls(version = "1.10.2", type = install_type(version = version))
Arguments
version |
The 'LibTorch' version to install. |
type |
The installation type for 'LibTorch'. Valid value is currently |
Value
a named list with character urls
See Also
Contains a list of 'MistNet' libraries for the various OS's
Description
Contains a list of 'MistNet' libraries for the various OS's
Usage
install_config
Format
An object of class list
of length 2.
Install 'MistNet' libraries
Description
Installs libraries and dependencies for using 'MistNet'.
Usage
install_mistnet(
version = "1.12.1",
reinstall = FALSE,
path = install_path(),
timeout = 360,
...
)
Arguments
version |
The 'LibTorch' version to install. |
reinstall |
Re-install 'MistNet' even if its already installed? |
path |
Optional path to install or check for an already existing installation. |
timeout |
Optional timeout in seconds for large file download. |
... |
other optional arguments (like |
Details
By default libraries are installed in the 'tools::R_user_dir("vol2birdR", "data")' directory.
When using path
to install in a specific location, make sure the MISTNET_HOME
environment
variable is set to this same path to reuse this installation.
The TORCH_INSTALL
environment
variable can be set to 0
to prevent auto-installing 'LibTorch and TORCH_LOAD
set to 0
to avoid loading dependencies automatically. These environment variables are meant for advanced use
cases and troubleshooting only.
When timeout error occurs during library archive download, or length of downloaded files differ from
reported length, an increase of the timeout
value should help.
Value
no value returned. Installs libraries into the package
See Also
Examples
install_mistnet()
Install 'MistNet' libraries from files
Description
Installs 'LibTorch' and 'MistNet' dependencies from files.
Usage
install_mistnet_from_file(
version = "1.12.1",
libtorch,
libmistnet,
mistnet_model = NULL,
...
)
Arguments
version |
The 'LibTorch' version to install. |
libtorch |
The installation archive file to use for 'LibTorch'. Shall be a |
libmistnet |
The installation archive file to use for 'MistNet'. Shall be a |
mistnet_model |
The installation archive file to use for the model. Shall be a |
... |
other parameters to be passed to |
Details
When install_mistnet()
initiated download is not possible, but installation archive files are
present on local filesystem, install_mistnet_from_file()
can be used as a workaround to installation issues.
"libtorch"
is the archive containing all 'LibTorch' modules, and "libmistnet"
is the 'C' interface to 'LibTorch'
that is used for the 'R' package. Both are highly platform dependent, and should be checked through get_install_urls()
> get_install_urls() $libtorch [1] "https://download.pytorch.org/libtorch/cpu/libtorch-cxx11-abi-shared-with-deps-1.10.2%2Bcpu.zip" $libmistnet [1] "https://s3.amazonaws.com/vol2bird-builds/vol2birdr/refs/heads/main/latest/Linux-cpu.zip" $mistnet_model [1] "http://mistnet.s3.amazonaws.com/mistnet_nexrad.pt"
In a terminal, download above zip-files.
%> mkdir /tmp/myfiles %> cd /tmp/myfiles %> wget https://download.pytorch.org/libtorch/cpu/libtorch-cxx11-abi-shared-with-deps-1.10.2%2Bcpu.zip %> wget https://s3.amazonaws.com/vol2bird-builds/vol2birdr/refs/heads/main/latest/Linux-cpu.zip %> wget http://mistnet.s3.amazonaws.com/mistnet_nexrad.pt
Then in R, type:
> install_mistnet_from_file(libtorch="file:///tmp/myfiles/libtorch-cxx11-abi-shared-with-deps-1.10.2+cpu.zip", libmistnet="file:///tmp/myfiles/Linux-cpu.zip", mistnet_model="file:///tmp/myfiles/mistnet_nexrad.pt")
Value
a list with character urls
See Also
Examples
# get paths to files to be downloaded
get_install_urls()
# download the files to a directory on disk, e.g. to /tmp/myfile,
# then install with:
## Not run:
install_mistnet_from_file(
libtorch="file:///tmp/myfiles/libtorch-cxx11-abi-shared-with-deps-1.10.2+cpu.zip",
libmistnet="file:///tmp/myfiles/Linux-cpu.zip",
mistnet_model="file:///tmp/myfiles/mistnet_nexrad.pt")
## End(Not run)
Install 'MistNet' model file
Description
Installs the 'MistNet' model file in 'PyTorch' format
Usage
install_mistnet_model(
reinstall = FALSE,
path = file.path(torch_install_path(), "data", "mistnet_nexrad.pt"),
timeout = 1800,
from_url = "http://mistnet.s3.amazonaws.com/mistnet_nexrad.pt",
method = "libcurl",
...
)
Arguments
reinstall |
Re-install the model even if its already installed |
path |
Optional path to install or check for an already existing installation. |
timeout |
Optional timeout in seconds for large file download. |
from_url |
From where the 'MistNet' model file should be downloaded. |
method |
The download method to use, see download.file |
... |
other optional arguments (like |
Details
Download and install the 'MistNet' model file. By default the library is downloaded to data/mistnet_nexrad.pt in the 'tools::R_user_dir("vol2birdR", "data")' directory.
Alternatively, the model file can be downloaded to a different location, which has the advantage that it doesn't have to be redownloaded after a reinstall of 'vol2birdR'.
'vol2birdR' will automatically detect the model file if it is downloaded to
/opt/vol2bird/etc/mistnet_nexrad.pt
, which can be done as follows
install_mistnet_model(path="/opt/vol2bird/etc/mistnet_nexrad.pt")
Value
No value returned, this function downloads a file
Examples
install_mistnet_model()
Returns the system name
Description
Returns the system name
Usage
install_os()
Returns the path of the 'MistNet' libraries for specified version
Description
Returns the path of the 'MistNet' libraries for specified version
Usage
install_path(version = "1.0")
Arguments
version |
The 'MistNet' version checked for |
Value
the path to the libraries
Returns the LibTorch install type
Description
Returns the LibTorch install type
Usage
install_type(version)
Returns the path of the 'MistNet' libraries for specified version
Description
Returns the path of the 'MistNet' libraries for specified version
Usage
lib_installed(library_name, install_path)
Arguments
library_name |
The name of the library searched for, either 'libmistnet' or 'LibTorch' |
install_path |
The location where to look for the libraries |
Value
if anything could be located or not
Loads a volume vol2bird-style meaning that a number of different file formats are tried and eventually loaded.
Description
Loads a volume vol2bird-style meaning that a number of different file formats are tried and eventually loaded.
Usage
load_volume(file)
Arguments
file |
name of file to be loaded |
Value
The loaded volume as a Rcpp_PolarVolume that can be passed around
The default 'MistNet' version
Description
The default 'MistNet' version
Usage
mistnet_default()
Value
the default 'MistNet' version
Checks if the 'LibTorch' and 'MistNet' libraries have been installed or not.
Description
Checks if the 'LibTorch' and 'MistNet' libraries have been installed or not.
Usage
mistnet_exists()
Value
TRUE if both 'LibTorch' and 'MistNet' libraries can be found, otherwise FALSE
See Also
Installs the library
Description
Installs the library
Usage
mistnet_install_lib(
library_name,
library_url,
install_path,
source_path,
filter,
md5hash,
inst_path
)
Arguments
library_name |
The name of the library searched for, either 'libmistnet' or 'libtorch' |
library_url |
Where to fetch the library |
install_path |
Where to put the library |
source_path |
If library should be fetched from somewhere else |
filter |
Not used |
md5hash |
MD5 check |
inst_path |
inst path |
Value
if anything could be located or not
Installs the 'MistNet' libraries
Description
Installs the 'MistNet' libraries
Usage
mistnet_install_libs(version, type, install_path, install_config)
Arguments
version |
version to install |
type |
what type of libraries to be installed |
install_path |
Where libraries should be installed |
install_config |
the library config |
Check if MistNet installation is complete
Description
Checks if the 'LibTorch' and 'MistNet' libraries have been installed, and that the mistnet model file has been downloaded.
Usage
mistnet_installed(path, verbose = FALSE)
Arguments
path |
Optional non-default file path to check for the mistnet model file. |
verbose |
When TRUE print informative messages on missing library and model files. |
Value
TRUE if the 'LibTorch' and 'MistNet' libraries can be found and the and the MistNet model file can be located, otherwise FALSE.
See Also
Initialize the 'MistNet' system if enabled.
Description
Initialize the 'MistNet' system if enabled.
Usage
mistnet_start(version = mistnet_default(), reload = FALSE, verbose = TRUE)
Arguments
version |
version of 'MistNet' library |
reload |
if 'MistNet' library should be reloaded or not, default FALSE. |
verbose |
Logical, when |
Retrieve or set the nexrad location file
Description
Retrieves and sets the path of the RSL nexrad location file
Usage
nexrad_station_file(file)
Arguments
file |
A string containing the path of a location file. Do not specify to retrieve path of current location file. |
Details
The RSL library stores the locations and names of NEXRAD stations in a fixed-width text file. This function retrieves the path of the location file, and allows one to set the path to a different location file.
Value
The path of the nexrad location file
Examples
# return current location file
nexrad_station_file()
# store nexrad station file path
file_path <- nexrad_station_file()
# set station location file
nexrad_station_file(file_path)
Convert a NEXRAD polar volume file to an ODIM polar volume file
Description
Convert a NEXRAD polar volume file to an ODIM polar volume file
Usage
rsl2odim(
file,
config,
pvolfile_out = "",
verbose = TRUE,
update_config = FALSE
)
Arguments
file |
Character (vector). Either a path to a single radar polar volume
( |
config |
optional configuration object of class |
pvolfile_out |
Character. File name. When provided, writes a polar
volume ( |
verbose |
logical. When TRUE print profile output to console. |
update_config |
logical. When TRUE processing options that are determined based on
input file characteristics are returned and updated in the object specified by the |
Value
No value returned, creates a file specified by pvolfile_out
argument.
See Also
Examples
# define filenames
nexrad_file <- paste0(tempdir(),"/KBGM20221001_000243_V06")
odim_file <- paste0(tempdir(),"/KBGM20221001_000243_V06.h5")
# download NEXRAD file:
download.file("https://noaa-nexrad-level2.s3.amazonaws.com/2022/10/01/KBGM/KBGM20221001_000243_V06",
destfile = nexrad_file, mode="wb")
# convert NEXRAD file to ODIM hdf5 format:
rsl2odim(nexrad_file, pvolfile_out = odim_file)
# clean up
file.remove(nexrad_file)
file.remove(odim_file)
Skip test if tempdir() not accessible
Description
Some function tests require tempdir() to be writeable in package vol2birdR. This helper function allows to skip a test if tempdir() is not accessible Inspired by https://testthat.r-lib.org/articles/skipping.html#helpers.
Usage
skip_if_no_temp_access()
Returns the 'LibTorch' installation path.
Description
Returns the directory where the LibTorch library has been downloaded
Usage
torch_install_path()
Value
a character path
Examples
torch_install_path()
Calculate a vertical profile (vp
) from a polar volume (pvol
) file
Description
Calculates a vertical profile of biological scatterers (vp
) from a polar
volume (pvol
) file using the algorithm
vol2bird (Dokter et al.
2011 doi:10.1098/rsif.2010.0116).
Usage
vol2bird(
file,
config,
vpfile = "",
pvolfile_out = "",
verbose = TRUE,
update_config = FALSE
)
Arguments
file |
Character (vector). Either a path to a single radar polar volume
( |
config |
optional configuration object of class |
vpfile |
Character. File name. When provided with .csv extension, writes a vertical profile in VPTS CSV format. Provided with another or no extension, writes a vertical profile in the ODIM HDF5 format to disk. |
pvolfile_out |
Character. File name. When provided, writes a polar
volume ( |
verbose |
logical. When TRUE print profile output to console. |
update_config |
logical. When TRUE processing options that are determined based on
input file characteristics are returned and updated in the object specified by the |
Value
No value returned, creates a file specified by file
argument
See Also
Examples
# Locate the polar volume example file
pvolfile <- system.file("extdata", "volume.h5", package = "vol2birdR")
# Create a configuration instance:
conf <- vol2bird_config()
# Define output file
output_file <- paste0(tempdir(), "/vp.h5")
# Calculate the profile:
vol2bird(file = pvolfile, config = conf, vpfile = output_file)
Create a 'vol2bird' configuration instance
Description
Creates or copies a 'vol2bird' configuration instance of class Rcpp_Vol2BirdConfig
Usage
vol2bird_config(config)
Arguments
config |
a configuration instance to be copied. |
Details
Copying configuration instances
All processing options for vol2bird()
are set using a configuration instance of class Rcpp_Vol2BirdConfig
In some cases it might be necessary to copy and modify configuration instance, for example
when processing polar volume files with different settings.
In these cases you can't copy the instance like:
config<-vol2bird_config() extra_config<-config
In the above example, the config
and extra_config
instances will both refer to the same object.
(copy by reference). To avoid this (and make a copy by value), use:
config<-vol2bird_config() # create a copy identical to object config: extra_config<-vol2bird_config(config)
User configuration options
The Rcpp_Vol2BirdConfig
class object sets the following 'vol2bird' processing options:
-
azimMax
: Numeric. The minimum azimuth (0-360 degrees) used for constructing the bird density profile -
azimMin
: Numeric. The maximum azimuth (0-360 degrees) used for constructing the bird density profile -
birdRadarCrossSection
: Numeric. Radar cross section in cm^2 -
clutterMap
: Character. clutter map path and filename -
clutterValueMin
: Numeric. sample volumes in the static cluttermap with a value above this threshold will be considered clutter-contaminated. Default 0.1 -
dbzType
: Character. Reflectivity factor quantity to use. DefaultDBZH
-
dualPol
: Logical. Whether to use dual-pol moments for filtering meteorological echoes. DefaultTRUE
-
elevMax
: Numeric. The minimum scan elevation in degrees used for constructing the bird density profile -
elevMin
: Numeric. The maximum scan elevation in degrees used for constructing the bird density profile -
layerThickness
: Numeric. The width/thickness of an altitude layer in m. Default 200 -
mistNetPath
: Character. Path of 'MistNet' segmentation model in pytorch (.pt) format -
nLayers
: Integer. The number of layers in an altitude profile. Default 25 -
radarWavelength
: Numeric. The radar wavelength in cm to assume when unavailable as an attribute in the input file. Default 5.3 -
rangeMax
: Numeric. The maximum range in m used for constructing the bird density profile. Default 35000 -
rangeMin
: Numeric. The minimum range in m used for constructing the bird density profile. Default 5000 -
rhohvThresMin
: Numeric. Correlation coefficients higher than this threshold will be classified as precipitation. Default 0.95 -
singlePol
: Logical. Whether to use single-pol moments for filtering meteorological echoes. DefaultTRUE
-
stdDevMinBird
: Numeric. VVP Radial velocity standard deviation threshold. Default 2 m/s. -
useClutterMap
: Logical. Whether to use a static clutter map. DefaultFALSE
-
useMistNet
: Logical. Whether to use the 'MistNet' segmentation model. DefaultFALSE
.
Advanced configuration options
Changing these settings is rarely needed.
-
cellEtaMin
: Numeric. Maximum mean reflectivity in cm^2/km^3 for cells containing birds -
cellStdDevMax
: Numeric. When analyzing precipitation cells, only cells for which the stddev of vrad (aka the texture) is less than cellStdDevMax are considered in the rest of the analysis -
dbzThresMin
: Numeric. Minimum reflectivity factor of a gate to be considered for inclusion in a weather cell. Default 0 dBZ -
dealiasRecycle
: Logical. Whether we should dealias all data once (defaultTRUE
), or dealias for each profile individually (FALSE
) -
dealiasVrad
: Logical. Whether we should dealias the radial velocities. DefaultTRUE
. -
etaMax
: Numeric. Maximum reflectivity in cm^2/km^3 for single gates containing birds. Default 36000 -
exportBirdProfileAsJSONVar
: Logical. Deprecated, do not use. DefaultFALSE
-
fitVrad
: Logical. Whether or not to fit a model to the observed vrad. DefaultTRUE
-
maxNyquistDealias
: Numeric. When all scans have nyquist velocity higher than this value, dealiasing is suppressed. Default 25 m/s. -
minNyquist
: Numeric. Scans with Nyquist velocity lower than this value are excluded. Default 5 m/s. -
mistNetElevs
: Numeric vector of length 5. Elevations to use in Cartesian projection for 'MistNet'. Defaultc(0.5, 1.5, 2.5, 3.5, 4.5)
-
mistNetElevsOnly
: Logical. WhenTRUE
(default), use only the specified elevation scans for 'MistNet' to calculate profile, otherwise use all available elevation scans -
requireVrad
: Logical. For a range gate to contribute it should have a valid radial velocity. DefaultFALSE
-
resample
: Logical. Whether to resample the input polar volume. Downsampling speeds up the calculation. DefaultFALSE
-
resampleNbins
: Numeric. Resampled number of range bins. Ignored whenresample
isFALSE
. Default 100 -
resampleNrays
: Numeric. Resampled number of azimuth bins. Ignored whenresample
isFALSE
. Default 360 -
resampleRscale
: Numeric. Resampled range gate length in m. Ignored whenresample
isFALSE
. Default 500 m.
Algorithm constants
Changing any of these constants is not recommended
-
constant_absVDifMax
: Numeric. After fitting the radial velocity data, throw out any VRAD observations that are more than absVDifMax away from the fitted value as outliers. Default 10 -
constant_areaCellMin
: Numeric. When analyzing cells, areaCellMin determines the minimum size of a cell to be considered in the rest of the analysis. in km^2. Default 0.5 -
constant_cellClutterFractionMax
: Cells with clutter fractions above this value are likely not birds. Default 0.5 -
constant_chisqMin
: Minimum standard deviation of the VVP fit. Default 1e-05 -
constant_fringeDist
: Each identified weather cell is grown by a distance equal to 'fringeDist' using a region-growing approach. Default 5000 -
constant_nAzimNeighborhood
: vrad's texture is calculated based on the local neighborhood. The neighborhood size in the azimuth direction is equal to this value. Default 3 -
constant_nBinsGap
: When determining whether there are enough vrad observations in each direction, use nBinsGap sectors. Default 8 -
constant_nCountMin
: The minimum number of neighbors for the texture value to be considered valid, as used in calcTexture(). Default 4 -
constant_nNeighborsMin
: the minimum number of direct neighbors with dbz value above dbzThresMin as used in findWeatherCells(). Default 5 -
constant_nObsGapMin
: there should be at least this many vrad observations in each sector. Default 5 -
constant_nPointsIncludedMin
: when calculating the altitude-layer averaged dbz, there should be at least this many valid data points. Default 25 -
constant_nRangNeighborhood
: vrad's texture is calculated based on the local neighborhood. The neighborhood size in the range direction is equal to this value. Default 3 -
constant_refracIndex
: Refractive index of the scatterers. Default equal to water 0.964 -
constant_vradMin
: When analyzing cells, radial velocities lower than vradMin are treated as clutter. Default 1 m/s.
Debug printing options
Enable these printing options only for debugging purposes in a terminal, since large amounts of data will be dumped into the console.
-
printCell
: Logical. Print precipitation cell data to stderr. DefaultFALSE
-
printCellProp
: Logical. Print precipitation cell properties to stderr. DefaultFALSE
-
printClut
: Logical. Print clutter data to stderr. DefaultFALSE
-
printDbz
: Logical. Print reflectivity factor data to stderr. DefaultFALSE
-
printDealias
: Logical.FALSE
-
printOptions
: Logical. Print options to stderr. DefaultFALSE
-
printPointsArray
: Logical. Print the 'points' array to stderr. DefaultFALSE
-
printProfileVar
: Logical. Print profile data to stderr. DefaultFALSE
-
printRhohv
: Logical. Print correlation coefficient data to stderr. DefaultFALSE
-
printTex
: Logical. Print radial velocity texture data to stderr. DefaultFALSE
-
printVrad
: Logical. Print radial velocity data to stderr. DefaultFALSE
Value
an object of class Rcpp_Vol2BirdConfig
See Also
Examples
# create a configuration instance
config <- vol2bird_config()
# list the the configuration elements:
config
# change the maximum range included in the profile generation to 40 km:
config$rangeMax <- 40000
# make a copy of the configuration instance:
config_copy <- vol2bird_config(config)
Return 'vol2bird' version
Description
Return version of the 'vol2bird' algorithm
Usage
vol2bird_version()
Value
an object of class numeric_version
Examples
# check installed 'vol2bird' version:
vol2bird_version()