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I have a list of a spatial dataset and a stack of rasters. The sf represent fires from 1985 to 2017 and the stack of rasters represent the climate conditions from 1985 to 2017. I want to extract the raster values for each pixel in the fire polygons using the exact_extract function in R. The function has the argument include_cols which is an optional character vector of column names in sf to be added to the data frame. Also, it has the argument append_cols that do the same when the fun is not NULL. However, when I try to apply the function I get the following error:

Error in `[.data.frame`(x, i, j, drop = drop) : 
  undefined columns selected 

Here is my code:

waterclimPre_extract<- mapply(x= waterclimPre_maps, y = polys_maps, FUN= function(x,y)
  exact_extract(x, y, include_xy = T, include_cell=T, include_cols = c("year", "fireClas")))

and also:

waterclimPre_stat <- mapply(x= waterclimPre_maps, y = polys_maps, FUN= function(x,y)
    exact_extract(x, y, fun = c("mean", "min", "max", "median", "variance"), append_cols = c("year", "fireClas")))
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    We don't have your data so we cant run your code and reproduce this. Can you make a simple example that shows the problem? Can you show us summaries of the input data? Can you take the mapply out of the equation and show the problem with just a call to exact_extract? Can you show which packages you used?
    – Spacedman
    Commented Apr 2, 2021 at 9:21

1 Answer 1

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The source of the error was that not all SF in the list had the same name in the columns. One, in particular, had "Year" instead of "year".

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