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Reclassifying rasterstack in R?
Reclassifying Rasters Error 001100 Failed because no statistics are availableReclassifying rasters using GDAL and Python?Getting aspect and reclassifying raster files using Python in a loopReclassifying rasters to two values (1 and NODATA)?R: Error when stacking multiple raster filesUsing spei() function on time series from rasterstack in R?Rasterize shapefile according to another big raster using gdal_rasterizeExtract values from large rasterstack, RConditional mean of rasterstackCalculating Median/Quantile of Rasterstack and converting Results to Data Frame in R
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;
I have a very large raster stack of 6253 raster layers and I want to reclassify it.
For the reclass, I have tried the following but with no success:
my_rules <- c(-0.500, -0.251, 1, -0.251, -0.101, 2, -0.101,0.99,3, 0.99,0.269,4, 0.269,0.439,5, 0.439,0.659,6, 0.659,1.300,7, 1.300,2,NA)
reclmat <- matrix(my_rules, ncol=3, byrow=TRUE)
my_stack<- reclassify(my_stack, reclmat,right=FALSE)
Error in .local(x, rcl, ...) : all(rcl[, 2] >= rcl[, 1]) is not TRUE
Is this the wrong way to approach this?
r reclassify rasterstack
edited Apr 2 at 11:24
PolyGeo♦
53.9k1781245
asked Apr 2 at 6:49
foofoo
555
add a comment |
I have a very large raster stack of 6253 raster layers and I want to reclassify it.
For the reclass, I have tried the following but with no success:
my_rules <- c(-0.500, -0.251, 1, -0.251, -0.101, 2, -0.101,0.99,3, 0.99,0.269,4, 0.269,0.439,5, 0.439,0.659,6, 0.659,1.300,7, 1.300,2,NA)
reclmat <- matrix(my_rules, ncol=3, byrow=TRUE)
my_stack<- reclassify(my_stack, reclmat,right=FALSE)
Error in .local(x, rcl, ...) : all(rcl[, 2] >= rcl[, 1]) is not TRUE
Is this the wrong way to approach this?
r reclassify rasterstack
edited Apr 2 at 11:24
PolyGeo♦
53.9k1781245
asked Apr 2 at 6:49
foofoo
555
add a comment |
I have a very large raster stack of 6253 raster layers and I want to reclassify it.
For the reclass, I have tried the following but with no success:
my_rules <- c(-0.500, -0.251, 1, -0.251, -0.101, 2, -0.101,0.99,3, 0.99,0.269,4, 0.269,0.439,5, 0.439,0.659,6, 0.659,1.300,7, 1.300,2,NA)
reclmat <- matrix(my_rules, ncol=3, byrow=TRUE)
my_stack<- reclassify(my_stack, reclmat,right=FALSE)
Error in .local(x, rcl, ...) : all(rcl[, 2] >= rcl[, 1]) is not TRUE
Is this the wrong way to approach this?
r reclassify rasterstack
edited Apr 2 at 11:24
PolyGeo♦
53.9k1781245
asked Apr 2 at 6:49
foofoo
555
I have a very large raster stack of 6253 raster layers and I want to reclassify it.
For the reclass, I have tried the following but with no success:
my_rules <- c(-0.500, -0.251, 1, -0.251, -0.101, 2, -0.101,0.99,3, 0.99,0.269,4, 0.269,0.439,5, 0.439,0.659,6, 0.659,1.300,7, 1.300,2,NA)
reclmat <- matrix(my_rules, ncol=3, byrow=TRUE)
my_stack<- reclassify(my_stack, reclmat,right=FALSE)
Error in .local(x, rcl, ...) : all(rcl[, 2] >= rcl[, 1]) is not TRUE
Is this the wrong way to approach this?
r reclassify rasterstack
r reclassify rasterstack
edited Apr 2 at 11:24
PolyGeo♦
53.9k1781245
asked Apr 2 at 6:49
foofoo
555
edited Apr 2 at 11:24
PolyGeo♦
53.9k1781245
asked Apr 2 at 6:49
foofoo
555
edited Apr 2 at 11:24
PolyGeo♦
53.9k1781245
edited Apr 2 at 11:24
PolyGeo♦
53.9k1781245
edited Apr 2 at 11:24
PolyGeo♦
53.9k1781245
53.9k1781245
asked Apr 2 at 6:49
foofoo
555
asked Apr 2 at 6:49
foofoo
555
asked Apr 2 at 6:49
foofoo
555
555
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Your reclassification matrix isn't right - I suspect the 0.990 on rows 3 and 4 should be 0.099 - as it is the rows make up overlapping classes so the function throws an error:
> reclmat
[,1] [,2] [,3]
[1,] -0.500 -0.251 1
[2,] -0.251 -0.101 2
[3,] -0.101 0.990 3
[4,] 0.990 0.269 4
[5,] 0.269 0.439 5
[6,] 0.439 0.659 6
[7,] 0.659 1.300 7
[8,] 1.300 2.000 NA
Its nothing to do with the size of the stack - you should always test things first on small examples. I duplicated your error with:
> r = raster()
> r[] = runif(ncell(r),-0.5,2)
> reclassify(r,reclmat)
Error: all(rcl[, 2] >= rcl[, 1]) is not TRUE
Change the 0.990 to 0.099 and it works:
> my_rules <- c(-0.500, -0.251, 1, -0.251, -0.101, 2, -0.101,0.099,3, 0.099,0.269,4, 0.269,0.439,5, 0.439,0.659,6, 0.659,1.300,7, 1.300,2,NA)
> reclmat <- matrix(my_rules, ncol=3, byrow=TRUE)
> reclassify(r,reclmat)
class : RasterLayer
dimensions : 180, 360, 64800 (nrow, ncol, ncell)
resolution : 1, 1 (x, y)
answered Apr 2 at 7:24
SpacedmanSpacedman
24.8k23551
Such a stupid mistake from me. Thank you for the notice @Spacedman!
– foo
Apr 2 at 7:31
add a comment |
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1 Answer
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Your reclassification matrix isn't right - I suspect the 0.990 on rows 3 and 4 should be 0.099 - as it is the rows make up overlapping classes so the function throws an error:
> reclmat
[,1] [,2] [,3]
[1,] -0.500 -0.251 1
[2,] -0.251 -0.101 2
[3,] -0.101 0.990 3
[4,] 0.990 0.269 4
[5,] 0.269 0.439 5
[6,] 0.439 0.659 6
[7,] 0.659 1.300 7
[8,] 1.300 2.000 NA
Its nothing to do with the size of the stack - you should always test things first on small examples. I duplicated your error with:
> r = raster()
> r[] = runif(ncell(r),-0.5,2)
> reclassify(r,reclmat)
Error: all(rcl[, 2] >= rcl[, 1]) is not TRUE
Change the 0.990 to 0.099 and it works:
> my_rules <- c(-0.500, -0.251, 1, -0.251, -0.101, 2, -0.101,0.099,3, 0.099,0.269,4, 0.269,0.439,5, 0.439,0.659,6, 0.659,1.300,7, 1.300,2,NA)
> reclmat <- matrix(my_rules, ncol=3, byrow=TRUE)
> reclassify(r,reclmat)
class : RasterLayer
dimensions : 180, 360, 64800 (nrow, ncol, ncell)
resolution : 1, 1 (x, y)
answered Apr 2 at 7:24
SpacedmanSpacedman
24.8k23551
Such a stupid mistake from me. Thank you for the notice @Spacedman!
– foo
Apr 2 at 7:31
add a comment |
Your reclassification matrix isn't right - I suspect the 0.990 on rows 3 and 4 should be 0.099 - as it is the rows make up overlapping classes so the function throws an error:
> reclmat
[,1] [,2] [,3]
[1,] -0.500 -0.251 1
[2,] -0.251 -0.101 2
[3,] -0.101 0.990 3
[4,] 0.990 0.269 4
[5,] 0.269 0.439 5
[6,] 0.439 0.659 6
[7,] 0.659 1.300 7
[8,] 1.300 2.000 NA
Its nothing to do with the size of the stack - you should always test things first on small examples. I duplicated your error with:
> r = raster()
> r[] = runif(ncell(r),-0.5,2)
> reclassify(r,reclmat)
Error: all(rcl[, 2] >= rcl[, 1]) is not TRUE
Change the 0.990 to 0.099 and it works:
> my_rules <- c(-0.500, -0.251, 1, -0.251, -0.101, 2, -0.101,0.099,3, 0.099,0.269,4, 0.269,0.439,5, 0.439,0.659,6, 0.659,1.300,7, 1.300,2,NA)
> reclmat <- matrix(my_rules, ncol=3, byrow=TRUE)
> reclassify(r,reclmat)
class : RasterLayer
dimensions : 180, 360, 64800 (nrow, ncol, ncell)
resolution : 1, 1 (x, y)
answered Apr 2 at 7:24
SpacedmanSpacedman
24.8k23551
Such a stupid mistake from me. Thank you for the notice @Spacedman!
– foo
Apr 2 at 7:31
add a comment |
Your reclassification matrix isn't right - I suspect the 0.990 on rows 3 and 4 should be 0.099 - as it is the rows make up overlapping classes so the function throws an error:
> reclmat
[,1] [,2] [,3]
[1,] -0.500 -0.251 1
[2,] -0.251 -0.101 2
[3,] -0.101 0.990 3
[4,] 0.990 0.269 4
[5,] 0.269 0.439 5
[6,] 0.439 0.659 6
[7,] 0.659 1.300 7
[8,] 1.300 2.000 NA
Its nothing to do with the size of the stack - you should always test things first on small examples. I duplicated your error with:
> r = raster()
> r[] = runif(ncell(r),-0.5,2)
> reclassify(r,reclmat)
Error: all(rcl[, 2] >= rcl[, 1]) is not TRUE
Change the 0.990 to 0.099 and it works:
> my_rules <- c(-0.500, -0.251, 1, -0.251, -0.101, 2, -0.101,0.099,3, 0.099,0.269,4, 0.269,0.439,5, 0.439,0.659,6, 0.659,1.300,7, 1.300,2,NA)
> reclmat <- matrix(my_rules, ncol=3, byrow=TRUE)
> reclassify(r,reclmat)
class : RasterLayer
dimensions : 180, 360, 64800 (nrow, ncol, ncell)
resolution : 1, 1 (x, y)
answered Apr 2 at 7:24
SpacedmanSpacedman
24.8k23551
Your reclassification matrix isn't right - I suspect the 0.990 on rows 3 and 4 should be 0.099 - as it is the rows make up overlapping classes so the function throws an error:
> reclmat
[,1] [,2] [,3]
[1,] -0.500 -0.251 1
[2,] -0.251 -0.101 2
[3,] -0.101 0.990 3
[4,] 0.990 0.269 4
[5,] 0.269 0.439 5
[6,] 0.439 0.659 6
[7,] 0.659 1.300 7
[8,] 1.300 2.000 NA
Its nothing to do with the size of the stack - you should always test things first on small examples. I duplicated your error with:
> r = raster()
> r[] = runif(ncell(r),-0.5,2)
> reclassify(r,reclmat)
Error: all(rcl[, 2] >= rcl[, 1]) is not TRUE
Change the 0.990 to 0.099 and it works:
> my_rules <- c(-0.500, -0.251, 1, -0.251, -0.101, 2, -0.101,0.099,3, 0.099,0.269,4, 0.269,0.439,5, 0.439,0.659,6, 0.659,1.300,7, 1.300,2,NA)
> reclmat <- matrix(my_rules, ncol=3, byrow=TRUE)
> reclassify(r,reclmat)
class : RasterLayer
dimensions : 180, 360, 64800 (nrow, ncol, ncell)
resolution : 1, 1 (x, y)
answered Apr 2 at 7:24
SpacedmanSpacedman
24.8k23551
answered Apr 2 at 7:24
SpacedmanSpacedman
24.8k23551
answered Apr 2 at 7:24
SpacedmanSpacedman
24.8k23551
answered Apr 2 at 7:24
SpacedmanSpacedman
24.8k23551
24.8k23551
Such a stupid mistake from me. Thank you for the notice @Spacedman!
– foo
Apr 2 at 7:31
add a comment |
Such a stupid mistake from me. Thank you for the notice @Spacedman!
– foo
Apr 2 at 7:31
Such a stupid mistake from me. Thank you for the notice @Spacedman!
– foo
Apr 2 at 7:31
Such a stupid mistake from me. Thank you for the notice @Spacedman!
– foo
Apr 2 at 7:31
add a comment |
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