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Filling NA gaps in raster with R?
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)
Announcing the arrival of Valued Associate #679: Cesar Manara
Unicorn Meta Zoo #1: Why another podcast?How to grid unevenly sampled categorical data?Fast and robust open source portable script or tool for interpolation - triangulation or similarR package gapfill: How to convert R raster stack to 4-dimensional array and then back to raster stack?Filling in Null Data Gaps in Raster ImageRaster reclassification in QGIS or other open source software with automatically calculated breaksRainfall raster with spline in RFilling/replacing nodata values of a raster layer in RFilling no data value in raster using ArcGIS Desktop?Avoiding artefacts by pixel filtering in a rasterImporting several LiDAR (.las) files in GRASS using v.in.lidar?
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I have soil data rasters from SoilGrids.org that have some small holes with NA cells (White spaces in the image) that I want to fill using some interpolation method to get a more spatially continuous raster for further analysis. I have found some options in SAGA (e.g. Close gaps) and GRASS (e.g. r.fillnulls) that seems to do the job but I am having problems to implement them in my workflow in R. I have found meteo::rfillspgaps , but it takes too much time and seems to never ends.
Is there any other function or solution in R?
raster r interpolation nodata holes
asked Apr 6 '18 at 10:27
Guido A. HerreraGuido A. Herrera
17512
add a comment |
I have soil data rasters from SoilGrids.org that have some small holes with NA cells (White spaces in the image) that I want to fill using some interpolation method to get a more spatially continuous raster for further analysis. I have found some options in SAGA (e.g. Close gaps) and GRASS (e.g. r.fillnulls) that seems to do the job but I am having problems to implement them in my workflow in R. I have found meteo::rfillspgaps , but it takes too much time and seems to never ends.
Is there any other function or solution in R?
raster r interpolation nodata holes
asked Apr 6 '18 at 10:27
Guido A. HerreraGuido A. Herrera
17512
You can use GRASS and SAGA trough R too
– aldo_tapia
Jul 18 '18 at 19:51
Have you seen this?: stackoverflow.com/a/14907988/1446289
– Aaron♦
Apr 13 at 3:53
add a comment |
I have soil data rasters from SoilGrids.org that have some small holes with NA cells (White spaces in the image) that I want to fill using some interpolation method to get a more spatially continuous raster for further analysis. I have found some options in SAGA (e.g. Close gaps) and GRASS (e.g. r.fillnulls) that seems to do the job but I am having problems to implement them in my workflow in R. I have found meteo::rfillspgaps , but it takes too much time and seems to never ends.
Is there any other function or solution in R?
raster r interpolation nodata holes
asked Apr 6 '18 at 10:27
Guido A. HerreraGuido A. Herrera
17512
I have soil data rasters from SoilGrids.org that have some small holes with NA cells (White spaces in the image) that I want to fill using some interpolation method to get a more spatially continuous raster for further analysis. I have found some options in SAGA (e.g. Close gaps) and GRASS (e.g. r.fillnulls) that seems to do the job but I am having problems to implement them in my workflow in R. I have found meteo::rfillspgaps , but it takes too much time and seems to never ends.
Is there any other function or solution in R?
raster r interpolation nodata holes
raster r interpolation nodata holes
asked Apr 6 '18 at 10:27
Guido A. HerreraGuido A. Herrera
17512
asked Apr 6 '18 at 10:27
Guido A. HerreraGuido A. Herrera
17512
edited Apr 8 '18 at 16:23
Guido A. Herrera
asked Apr 6 '18 at 10:27
Guido A. HerreraGuido A. Herrera
17512
asked Apr 6 '18 at 10:27
Guido A. HerreraGuido A. Herrera
17512
asked Apr 6 '18 at 10:27
Guido A. HerreraGuido A. Herrera
17512
17512
You can use GRASS and SAGA trough R too
– aldo_tapia
Jul 18 '18 at 19:51
Have you seen this?: stackoverflow.com/a/14907988/1446289
– Aaron♦
Apr 13 at 3:53
add a comment |
You can use GRASS and SAGA trough R too
– aldo_tapia
Jul 18 '18 at 19:51
Have you seen this?: stackoverflow.com/a/14907988/1446289
– Aaron♦
Apr 13 at 3:53
You can use GRASS and SAGA trough R too
– aldo_tapia
Jul 18 '18 at 19:51
You can use GRASS and SAGA trough R too
– aldo_tapia
Jul 18 '18 at 19:51
Have you seen this?: stackoverflow.com/a/14907988/1446289
– Aaron♦
Apr 13 at 3:53
Have you seen this?: stackoverflow.com/a/14907988/1446289
– Aaron♦
Apr 13 at 3:53
add a comment |
1 Answer
1
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I've only found two ways. 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.
The quick and dirty way is to use focal in the raster package with fun=mean, NAonly=T, na.rm=T and an appropriately sized matrix of 1's as the weights.
answered Jul 18 '18 at 17:12
user5730487user5730487
112
add a comment |
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I've only found two ways. 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.
The quick and dirty way is to use focal in the raster package with fun=mean, NAonly=T, na.rm=T and an appropriately sized matrix of 1's as the weights.
answered Jul 18 '18 at 17:12
user5730487user5730487
112
add a comment |
I've only found two ways. 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.
The quick and dirty way is to use focal in the raster package with fun=mean, NAonly=T, na.rm=T and an appropriately sized matrix of 1's as the weights.
answered Jul 18 '18 at 17:12
user5730487user5730487
112
add a comment |
I've only found two ways. 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.
The quick and dirty way is to use focal in the raster package with fun=mean, NAonly=T, na.rm=T and an appropriately sized matrix of 1's as the weights.
answered Jul 18 '18 at 17:12
user5730487user5730487
112
I've only found two ways. 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.
The quick and dirty way is to use focal in the raster package with fun=mean, NAonly=T, na.rm=T and an appropriately sized matrix of 1's as the weights.
answered Jul 18 '18 at 17:12
user5730487user5730487
112
answered Jul 18 '18 at 17:12
user5730487user5730487
112
answered Jul 18 '18 at 17:12
user5730487user5730487
112
answered Jul 18 '18 at 17:12
user5730487user5730487
112
112
add a comment |
add a comment |
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You can use GRASS and SAGA trough R too
– aldo_tapia
Jul 18 '18 at 19:51
Have you seen this?: stackoverflow.com/a/14907988/1446289
– Aaron♦
Apr 13 at 3:53