![]() ![]() It's slight 'boxier' than some other methods that I have used but otherwise it did the job. So focal (m, w9, funmean, na.policy'only', na.rmT) solves this issue. Then you are multiplying the 0 or 1 value by your raster layer values so that any value that is 1 will be equal to the original raster layer except where nodata now equals zero. It looks like argument for terra is na.policy'only' rather than NAonlyTRUE used in raster. If your raster layer does not equal the no data value then 1, else 0 With the raster package, the memory-safe way to do this is to use reclassify or clamp library (raster) r <- raster (ncol10, nrow10) values (r) <- rnorm (100) x <- clamp (r, useValuesFALSE) y <- reclassify (r, cbind (-Inf, 0, NA), rightFALSE) Note the rightFALSE to not set cells that are zero to NA. Where YOURNODATAVALUEHERE is the nodata value for your raster layer. Where rasterlayer is the raster you wish to work on If False, the output array will contain the. The quick and dirty way is to use focal in the raster package with funmean, NAonlyT, na.rmT and an appropriately sized matrix of 1's as the weights. filled (bool (opt)) If True, the pixels outside the features will be set to nodata. The ideal but computationally heavy way is to convert the raster to SpatialPixels and then use idw() or krige() in gstats package for interpolation, and convert back to raster. If there is no set nodata value for the raster, it defaults to 0. ![]() If not set, defaults to the nodata value for the input raster. ![]() These cells become NA (or another updatevalue ). nodata (int or float (opt)) Value representing nodata within each raster band. ("rasterlayer" != YOURNODATAVALUEHERE) * "rasterlayer" If x is a SpatRaster: Create a new SpatRaster that has the same values as SpatRaster x, except for the cells that are NA (or other maskvalue) in another SpatRaster (the 'mask'), or the cells that are not covered by a SpatVector. Filling/replacing nodata values of a raster layer in R. So what im asking how to i make nodatacells extract values from cells around it. Anybody have any tips Im using these rasters to create an elevation model and an terrainmodel. When you open up your properties for your raster layer, under information, scrolling down to your bands will show you what your nodata value is. After running Mosaic to raster with different types of Operator options i still cannot get Nodata values to extract the values from neighboroing cells. This tool uses a DEM surface as input and creates a raster showing the direction and accumulation of flow at each cell. library (raster) r <- raster (ncol10, nrow10) values (r) <- rnorm (100) x <- clamp (r, useValuesFALSE) y <- reclassify (r, cbind (-Inf, 0, NA), rightFALSE) Note the rightFALSE to not set cells that are zero to NA. NoData cells are considered places of unknown information and are not used in processing. Understanding how to use the raster calculator will bring you great power! With the raster package, the memory-safe way to do this is to use reclassify or clamp. ![]()
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