lestes at princeton.edu
Sun Feb 20 17:44:54 CET 2011
This might help answer your questions. I used the meuse dataset and
converted to raster formats, but I think the general approach should
work for what you want to do.
coordinates(meuse.grid) = ~x+y
gridded(meuse.grid) = TRUE
m2 <- as(meuse.grid, "SpatialGridDataFrame")
m3 <- raster(m2, layer = "soil") # Convert soil classes to raster
> How can i remove the ninth class in R because it does not have to be included in
> geostatical analysis.
m4 <- m3 * ((m3 < 3) / (m3 < 3)) # Removes class 3 from soil,
converts it to NA values (this could also
# serve as a mask)
# If you want to keep that part of the grid in the analysis, then you
might want to collapse the one class
# into another
m5 <- (m3 == 3 | m3 == 2) * 2 + (m3 == 1) # Class 2 now includes 2 and 3
> Question 2
> how can i use the map created in Q1 to clip the other 5 aboventioned maps (eg
> DEM etc) or how can i create a mask from the map in Q1.
# Create a mask for just the area of soil class 1
sc1.mask <- (m3 == 1) / (m3 == 1)
# You then multiply your other rasters by your mask to reduce rasters
to the areas you want to analyze.
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