Change cell value in one raster based on another raster









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I have two raster maps from two points in time (t1 and t2) with two land-cover categories in each (LC1, LC2). I want impose a rule that a LC2-cell in t1 cannot change to LC1-cell in t2, i.e., only LC1 can change to LC2 through time but not the other way around. I am having a hard time coming up with a rule for that in R. What I had in mind was something like this:



#create test rasters
r <- raster(nrows=25, ncols=25, vals=round(rnorm(625, 3), 0)) #land-use/cover raster
r[ r > 2 ] <- 2
r[ r < 1 ] <- 1
r2 <- r
plot(r2) #r2 is t2

r <- raster(nrows=25, ncols=25, vals=round(rnorm(625, 3), 0)) #land-use/cover raster
r[ r > 2 ] <- 2
r[ r < 1 ] <- 1
plot(r) #r is t1

r_fix <- overlay(r, r2, fun = function(x, y)
if (x[ x==2 ] & y[ y==1 ]) #1 is LC1, 2 is LC2
x[ x==2 ] <- 1
return(x)
)


But it returns an error (because of they way I am using the if statement with rasters?):



Error in (function (x, fun, filename = "", recycle = TRUE, forcefun = FALSE, : 
cannot use this formula, probably because it is not vectorized


I wonder if there is a simple way to implement something similar to that that works with rasters? Thank you in advance.










share|improve this question



























    up vote
    2
    down vote

    favorite












    I have two raster maps from two points in time (t1 and t2) with two land-cover categories in each (LC1, LC2). I want impose a rule that a LC2-cell in t1 cannot change to LC1-cell in t2, i.e., only LC1 can change to LC2 through time but not the other way around. I am having a hard time coming up with a rule for that in R. What I had in mind was something like this:



    #create test rasters
    r <- raster(nrows=25, ncols=25, vals=round(rnorm(625, 3), 0)) #land-use/cover raster
    r[ r > 2 ] <- 2
    r[ r < 1 ] <- 1
    r2 <- r
    plot(r2) #r2 is t2

    r <- raster(nrows=25, ncols=25, vals=round(rnorm(625, 3), 0)) #land-use/cover raster
    r[ r > 2 ] <- 2
    r[ r < 1 ] <- 1
    plot(r) #r is t1

    r_fix <- overlay(r, r2, fun = function(x, y)
    if (x[ x==2 ] & y[ y==1 ]) #1 is LC1, 2 is LC2
    x[ x==2 ] <- 1
    return(x)
    )


    But it returns an error (because of they way I am using the if statement with rasters?):



    Error in (function (x, fun, filename = "", recycle = TRUE, forcefun = FALSE, : 
    cannot use this formula, probably because it is not vectorized


    I wonder if there is a simple way to implement something similar to that that works with rasters? Thank you in advance.










    share|improve this question

























      up vote
      2
      down vote

      favorite









      up vote
      2
      down vote

      favorite











      I have two raster maps from two points in time (t1 and t2) with two land-cover categories in each (LC1, LC2). I want impose a rule that a LC2-cell in t1 cannot change to LC1-cell in t2, i.e., only LC1 can change to LC2 through time but not the other way around. I am having a hard time coming up with a rule for that in R. What I had in mind was something like this:



      #create test rasters
      r <- raster(nrows=25, ncols=25, vals=round(rnorm(625, 3), 0)) #land-use/cover raster
      r[ r > 2 ] <- 2
      r[ r < 1 ] <- 1
      r2 <- r
      plot(r2) #r2 is t2

      r <- raster(nrows=25, ncols=25, vals=round(rnorm(625, 3), 0)) #land-use/cover raster
      r[ r > 2 ] <- 2
      r[ r < 1 ] <- 1
      plot(r) #r is t1

      r_fix <- overlay(r, r2, fun = function(x, y)
      if (x[ x==2 ] & y[ y==1 ]) #1 is LC1, 2 is LC2
      x[ x==2 ] <- 1
      return(x)
      )


      But it returns an error (because of they way I am using the if statement with rasters?):



      Error in (function (x, fun, filename = "", recycle = TRUE, forcefun = FALSE, : 
      cannot use this formula, probably because it is not vectorized


      I wonder if there is a simple way to implement something similar to that that works with rasters? Thank you in advance.










      share|improve this question















      I have two raster maps from two points in time (t1 and t2) with two land-cover categories in each (LC1, LC2). I want impose a rule that a LC2-cell in t1 cannot change to LC1-cell in t2, i.e., only LC1 can change to LC2 through time but not the other way around. I am having a hard time coming up with a rule for that in R. What I had in mind was something like this:



      #create test rasters
      r <- raster(nrows=25, ncols=25, vals=round(rnorm(625, 3), 0)) #land-use/cover raster
      r[ r > 2 ] <- 2
      r[ r < 1 ] <- 1
      r2 <- r
      plot(r2) #r2 is t2

      r <- raster(nrows=25, ncols=25, vals=round(rnorm(625, 3), 0)) #land-use/cover raster
      r[ r > 2 ] <- 2
      r[ r < 1 ] <- 1
      plot(r) #r is t1

      r_fix <- overlay(r, r2, fun = function(x, y)
      if (x[ x==2 ] & y[ y==1 ]) #1 is LC1, 2 is LC2
      x[ x==2 ] <- 1
      return(x)
      )


      But it returns an error (because of they way I am using the if statement with rasters?):



      Error in (function (x, fun, filename = "", recycle = TRUE, forcefun = FALSE, : 
      cannot use this formula, probably because it is not vectorized


      I wonder if there is a simple way to implement something similar to that that works with rasters? Thank you in advance.







      r if-statement raster






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      edited Nov 10 at 20:50









      Julius Vainora

      30.1k75878




      30.1k75878










      asked Nov 10 at 20:34









      Thales West

      3362417




      3362417






















          1 Answer
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          up vote
          2
          down vote



          accepted










          You were really close,



          overlay(r, r2, fun = function(x, y) x[x == 2 & y == 1] <- 1; x)


          seems to do the job.



          In terms of your solution,



          x[x == 2] <- 1


          doesn't cause any errors, although it's not exactly what you want to use in your case either. However,



          if (x[x == 2] & y[y == 1])


          is a problem because x[x == 2] & y[y == 1] returns a matrix, while if wants just a single logical input. Subsetting, on the other hand, can handle logical matrices, which is exactly what is happening in x[x == 2 & y == 1].






          share|improve this answer




















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            1 Answer
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            active

            oldest

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            1 Answer
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            active

            oldest

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            active

            oldest

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            active

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            up vote
            2
            down vote



            accepted










            You were really close,



            overlay(r, r2, fun = function(x, y) x[x == 2 & y == 1] <- 1; x)


            seems to do the job.



            In terms of your solution,



            x[x == 2] <- 1


            doesn't cause any errors, although it's not exactly what you want to use in your case either. However,



            if (x[x == 2] & y[y == 1])


            is a problem because x[x == 2] & y[y == 1] returns a matrix, while if wants just a single logical input. Subsetting, on the other hand, can handle logical matrices, which is exactly what is happening in x[x == 2 & y == 1].






            share|improve this answer
























              up vote
              2
              down vote



              accepted










              You were really close,



              overlay(r, r2, fun = function(x, y) x[x == 2 & y == 1] <- 1; x)


              seems to do the job.



              In terms of your solution,



              x[x == 2] <- 1


              doesn't cause any errors, although it's not exactly what you want to use in your case either. However,



              if (x[x == 2] & y[y == 1])


              is a problem because x[x == 2] & y[y == 1] returns a matrix, while if wants just a single logical input. Subsetting, on the other hand, can handle logical matrices, which is exactly what is happening in x[x == 2 & y == 1].






              share|improve this answer






















                up vote
                2
                down vote



                accepted







                up vote
                2
                down vote



                accepted






                You were really close,



                overlay(r, r2, fun = function(x, y) x[x == 2 & y == 1] <- 1; x)


                seems to do the job.



                In terms of your solution,



                x[x == 2] <- 1


                doesn't cause any errors, although it's not exactly what you want to use in your case either. However,



                if (x[x == 2] & y[y == 1])


                is a problem because x[x == 2] & y[y == 1] returns a matrix, while if wants just a single logical input. Subsetting, on the other hand, can handle logical matrices, which is exactly what is happening in x[x == 2 & y == 1].






                share|improve this answer












                You were really close,



                overlay(r, r2, fun = function(x, y) x[x == 2 & y == 1] <- 1; x)


                seems to do the job.



                In terms of your solution,



                x[x == 2] <- 1


                doesn't cause any errors, although it's not exactly what you want to use in your case either. However,



                if (x[x == 2] & y[y == 1])


                is a problem because x[x == 2] & y[y == 1] returns a matrix, while if wants just a single logical input. Subsetting, on the other hand, can handle logical matrices, which is exactly what is happening in x[x == 2 & y == 1].







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 10 at 20:43









                Julius Vainora

                30.1k75878




                30.1k75878



























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