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How to permanently round values in a raster layer, matrix, or array, to write to a new file using r studio?
Extract Value from Raster Stack Layer Determined by Different Raster's Pixel ValueWhy do I get different results in plotting a NetCDF layer with “image(x,y,z)” and “plot (raster)” using R-package Raster?Extracting rasters from multiple NetCDF files based on date values in PythonExport raster names from raster stack to NetCDF file in RHow to loop through multiple RasterBrick to create one large RasterBrick?Summarizing values across polygons, for each layer in Raster Stack - How to merge values with shapefile?writing a raster stack on disk with writeRaster in R changes the range of the values for each layerExtract values from a netCDF file with an unstructured grid, at given coordinates and timesSubstitute pixels values of all layers in a raster stackHow to loop extraction of values from multiple raster files?
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty height:90px;width:728px;box-sizing:border-box;
I am trying to round either round a 3 dimensional matrix or several raster layers that will be made into a 3 dimensional matrix to 2 decimal places to make a new netcdf file that will take up less memory.
Using the round function as such:
newmatrix <- round(oldmatrix, 2)
only seems to round values superficially for display. Opening newmatrix and extracting values from it after adding it to a new file returns the unrounded values from oldmatrix. This is despite the fact that values extracted from newmatrix before adding it to a new file will be rounded to 2 decimal places as is supposed to be. The same thing happens if I round off the raster layers before creating a new matrix with them.
What function can I use to permanently round off my matrix's or raster's values to write to a new file rounded?
r netcdf
asked Mar 23 at 17:21
Cooper SpringerCooper Springer
1
add a comment |
I am trying to round either round a 3 dimensional matrix or several raster layers that will be made into a 3 dimensional matrix to 2 decimal places to make a new netcdf file that will take up less memory.
Using the round function as such:
newmatrix <- round(oldmatrix, 2)
only seems to round values superficially for display. Opening newmatrix and extracting values from it after adding it to a new file returns the unrounded values from oldmatrix. This is despite the fact that values extracted from newmatrix before adding it to a new file will be rounded to 2 decimal places as is supposed to be. The same thing happens if I round off the raster layers before creating a new matrix with them.
What function can I use to permanently round off my matrix's or raster's values to write to a new file rounded?
r netcdf
asked Mar 23 at 17:21
Cooper SpringerCooper Springer
1
add a comment |
I am trying to round either round a 3 dimensional matrix or several raster layers that will be made into a 3 dimensional matrix to 2 decimal places to make a new netcdf file that will take up less memory.
Using the round function as such:
newmatrix <- round(oldmatrix, 2)
only seems to round values superficially for display. Opening newmatrix and extracting values from it after adding it to a new file returns the unrounded values from oldmatrix. This is despite the fact that values extracted from newmatrix before adding it to a new file will be rounded to 2 decimal places as is supposed to be. The same thing happens if I round off the raster layers before creating a new matrix with them.
What function can I use to permanently round off my matrix's or raster's values to write to a new file rounded?
r netcdf
asked Mar 23 at 17:21
Cooper SpringerCooper Springer
1
I am trying to round either round a 3 dimensional matrix or several raster layers that will be made into a 3 dimensional matrix to 2 decimal places to make a new netcdf file that will take up less memory.
Using the round function as such:
newmatrix <- round(oldmatrix, 2)
only seems to round values superficially for display. Opening newmatrix and extracting values from it after adding it to a new file returns the unrounded values from oldmatrix. This is despite the fact that values extracted from newmatrix before adding it to a new file will be rounded to 2 decimal places as is supposed to be. The same thing happens if I round off the raster layers before creating a new matrix with them.
What function can I use to permanently round off my matrix's or raster's values to write to a new file rounded?
r netcdf
r netcdf
asked Mar 23 at 17:21
Cooper SpringerCooper Springer
1
asked Mar 23 at 17:21
Cooper SpringerCooper Springer
1
asked Mar 23 at 17:21
Cooper SpringerCooper Springer
1
asked Mar 23 at 17:21
Cooper SpringerCooper Springer
1
asked Mar 23 at 17:21
Cooper SpringerCooper Springer
1
1
add a comment |
add a comment |
1 Answer
1
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oldest
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NetCDF doesn't have a fixed precision format that would save space in the way you are expecting. (See here for data types). The usual way of saving space is to encode as a short integer and set the variable attributes scale_factor and add_offset.
In your case, you would multiply by 100, convert to short, and have scale_factor=0.01. Doing this in R is probably a lot of work, but nco utility would handle it in a few lines.
Let's say you have a variable called rh.
ncap2 -v -s 'rh=short(100*rh)' in.nc out.nc
ncatted -O -h -a add_offset,rh,o,f,0 out.nc
ncatted -O -h -a scale_factor,rh,o,f,0.01 out.nc
If you are looking to save memory when reading a variable into R, you might be disappointed as it will just be converted back into a float upon reading.
answered Mar 25 at 6:33
Robert DavyRobert Davy
35319
add a comment |
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1 Answer
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oldest
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NetCDF doesn't have a fixed precision format that would save space in the way you are expecting. (See here for data types). The usual way of saving space is to encode as a short integer and set the variable attributes scale_factor and add_offset.
In your case, you would multiply by 100, convert to short, and have scale_factor=0.01. Doing this in R is probably a lot of work, but nco utility would handle it in a few lines.
Let's say you have a variable called rh.
ncap2 -v -s 'rh=short(100*rh)' in.nc out.nc
ncatted -O -h -a add_offset,rh,o,f,0 out.nc
ncatted -O -h -a scale_factor,rh,o,f,0.01 out.nc
If you are looking to save memory when reading a variable into R, you might be disappointed as it will just be converted back into a float upon reading.
answered Mar 25 at 6:33
Robert DavyRobert Davy
35319
add a comment |
NetCDF doesn't have a fixed precision format that would save space in the way you are expecting. (See here for data types). The usual way of saving space is to encode as a short integer and set the variable attributes scale_factor and add_offset.
In your case, you would multiply by 100, convert to short, and have scale_factor=0.01. Doing this in R is probably a lot of work, but nco utility would handle it in a few lines.
Let's say you have a variable called rh.
ncap2 -v -s 'rh=short(100*rh)' in.nc out.nc
ncatted -O -h -a add_offset,rh,o,f,0 out.nc
ncatted -O -h -a scale_factor,rh,o,f,0.01 out.nc
If you are looking to save memory when reading a variable into R, you might be disappointed as it will just be converted back into a float upon reading.
answered Mar 25 at 6:33
Robert DavyRobert Davy
35319
add a comment |
NetCDF doesn't have a fixed precision format that would save space in the way you are expecting. (See here for data types). The usual way of saving space is to encode as a short integer and set the variable attributes scale_factor and add_offset.
In your case, you would multiply by 100, convert to short, and have scale_factor=0.01. Doing this in R is probably a lot of work, but nco utility would handle it in a few lines.
Let's say you have a variable called rh.
ncap2 -v -s 'rh=short(100*rh)' in.nc out.nc
ncatted -O -h -a add_offset,rh,o,f,0 out.nc
ncatted -O -h -a scale_factor,rh,o,f,0.01 out.nc
If you are looking to save memory when reading a variable into R, you might be disappointed as it will just be converted back into a float upon reading.
answered Mar 25 at 6:33
Robert DavyRobert Davy
35319
NetCDF doesn't have a fixed precision format that would save space in the way you are expecting. (See here for data types). The usual way of saving space is to encode as a short integer and set the variable attributes scale_factor and add_offset.
In your case, you would multiply by 100, convert to short, and have scale_factor=0.01. Doing this in R is probably a lot of work, but nco utility would handle it in a few lines.
Let's say you have a variable called rh.
ncap2 -v -s 'rh=short(100*rh)' in.nc out.nc
ncatted -O -h -a add_offset,rh,o,f,0 out.nc
ncatted -O -h -a scale_factor,rh,o,f,0.01 out.nc
If you are looking to save memory when reading a variable into R, you might be disappointed as it will just be converted back into a float upon reading.
answered Mar 25 at 6:33
Robert DavyRobert Davy
35319
answered Mar 25 at 6:33
Robert DavyRobert Davy
35319
answered Mar 25 at 6:33
Robert DavyRobert Davy
35319
answered Mar 25 at 6:33
Robert DavyRobert Davy
35319
35319
add a comment |
add a comment |
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