sadatnfs

    require(ncdf4)  
    require(ncdf4.helpers)
    require(data.table)
    
    ## Get the name of the value vars in the nc file
    get_nc_value_name <- function(nc_file) {
      
      ## Get names
      nc_obj <- nc_open(nc_file)
      name<-names(nc_obj$var)

mainvoid007

#!/bin/bash

#   Institut für Wetter- und Klimakommunikation GmbH / Qmet 
#   O. Maywald <maywald@klimagipfel.de>

#   This should install CDO with grib2, netcdf and HDF5 support. Note that the binaries are in /opt/cdo-install/bin. 
#   For further information look:
#   http://www.studytrails.com/blog/install-climate-data-operator-cdo-with-netcdf-grib2-and-hdf5-support/

#   docker-command 

alirobe

### 
###
### UPDATE: For Win 11, I recommend using this tool in place of this script: 
### https://christitus.com/windows-tool/
### https://github.com/ChrisTitusTech/winutil
### https://www.youtube.com/watch?v=6UQZ5oQg8XA
### iwr -useb https://christitus.com/win | iex
###
###

dgrtwo

# somewhat hackish solution to:
# https://twitter.com/EamonCaddigan/status/646759751242620928
# based mostly on copy/pasting from ggplot2 geom_violin source:
# https://github.com/hadley/ggplot2/blob/master/R/geom-violin.r

library(ggplot2)
library(dplyr)


"%||%" <- function(a, b) {

etiennebr

#' Transform raster to data.table
#' 
#' @param x  Raster* object
#' @param row.names	`NULL` or a character vector giving the row names for the data frame. Missing values are not allowed
#' @param optional	logical. If `TRUE`, setting row names and converting column names (to syntactic names: see make.names) is optional
#' @param xy  logical. If `TRUE`, also return the spatial coordinates
#' @param centroids	logical. If TRUE return the centroids instead of all spatial coordinates (only relevant if xy=TRUE)
#' @param sepNA	logical. If TRUE the parts of the spatial objects are separated by lines that are NA (only if xy=TRUE and, for polygons, if centroids=FALSE
#' @param ...	 Additional arguments (none) passed to `raster::as.data.frame`
#'