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edited Apr 25, 2017 at 21:24

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R: Replace Replacing raster values with the closest value from a list using R?

The task: I'm creating a function to assess flood damage in R. The inputs are:

Dataframe with water depth values and corresponding damage values in percentage.
Raster representing water depth

The raster values must be approximated to the closest value in the first column of the df and then create a new raster with damage values using corresponding values from the second column).

library(raster)
damage <- cbind(c(0.0,0.2,0.4,0.6,0.8,1.0),c(0, 5, 10, 40, 70, 100))
r.wd <- raster(myraster.tif)

I've tried using which.min(abs(damage[,1]-r.wd)) but doesn't work.

Any clue will be appreciated.

R: Replace raster values with the closest value from a list

The task: I'm creating a function to assess flood damage in R. The inputs are:

Dataframe with water depth values and corresponding damage values in percentage.
Raster representing water depth

The raster values must be approximated to the closest value in the first column of the df and then create a new raster with damage values using corresponding values from the second column).

library(raster)
damage <- cbind(c(0.0,0.2,0.4,0.6,0.8,1.0),c(0, 5, 10, 40, 70, 100))
r.wd <- raster(myraster.tif)

I've tried using which.min(abs(damage[,1]-r.wd)) but doesn't work.

Any clue will be appreciated.

Replacing raster values with closest value from list using R?

The task: I'm creating a function to assess flood damage in R. The inputs are:

Dataframe with water depth values and corresponding damage values in percentage.
Raster representing water depth

The raster values must be approximated to the closest value in the first column of the df and then create a new raster with damage values using corresponding values from the second column).

library(raster)
damage <- cbind(c(0.0,0.2,0.4,0.6,0.8,1.0),c(0, 5, 10, 40, 70, 100))
r.wd <- raster(myraster.tif)

I've tried using which.min(abs(damage[,1]-r.wd)) but doesn't work.

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asked Apr 25, 2017 at 13:45

Temporalista

R: Replace raster values with the closest value from a list

The task: I'm creating a function to assess flood damage in R. The inputs are:

Dataframe with water depth values and corresponding damage values in percentage.
Raster representing water depth

The raster values must be approximated to the closest value in the first column of the df and then create a new raster with damage values using corresponding values from the second column).

library(raster)
damage <- cbind(c(0.0,0.2,0.4,0.6,0.8,1.0),c(0, 5, 10, 40, 70, 100))
r.wd <- raster(myraster.tif)

I've tried using which.min(abs(damage[,1]-r.wd)) but doesn't work.

Any clue will be appreciated.

raster r