[R-sig-Geo] Create Kernel image results in *tif format

[ASANTOS]

Thank you very much Florian,

Solve my problem!!

Best wishes,

Alexandre

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Alexandre dos Santos
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Em 27/09/2018 04:01, Florian Betz escreveu:
> Dear Alexandre,
>
> instead of converting the image to a SpatialPixelDataFrame converting 
> to a raster object might be an alternative.
>
> r_pines<-raster(d_pines)
> writeRaster(r_pines, "Pines.tif")
>
> Regards,
> Florian
>
> Am 26.09.2018 um 22:25 schrieb ASANTOS via R-sig-Geo:
>> Dear R-sig-geo Members,
>>
>>       I've like to create Kernel image results as *tif using an 
>> object of
>> density() function output in spatstat package. But in my example,
>> doesn't work when I try:
>>
>> #Packages
>> library(spatstat)
>> library(raster)
>> library(rgdal)
>>
>>
>> #Swedishpines's data set in spatstat package
>> data(swedishpines)
>> plot(swedishpines)
>>
>> #CSR with K-Ripley test
>> csr_pines <- envelope(swedishpines, Kest, nsim=99)
>> plot(csr_pines)
>> # r=0.75 is outside CSR
>>
>> #Kernel representation using 0.75 as bandwidth
>> d_pines<-density(swedishpines, bw=0.75)
>> plot(d_pines)
>>
>> #Create TIFF image
>> r_pines <- as(d_pines, "SpatialPixelsDataFrame")
>> writeGDAL(r_pines, "Pines.tif")
>> #
>>
>>> r_pines <- as(d_pines, "SpatialPixelsDataFrame") Error in as(d_pines,
>> "SpatialPixelsDataFrame") : no method or default for coercing “im” to
>> “SpatialPixelsDataFrame”
>>
>> Please any ideas for corrected this?
>>
>> Thanks in advanced,
>>
>> Alexandre
>>
>