Hi, Without knowing any details of what you did, the general procedure is:
Use your fitted Random Forest or SVM model to predict the class for each pixel in your region of interest - the predict() function. Use standard spatial data methods to aggregate the resulting spatial data, or even standard non-spatial methods, since you know the pixel size - perhaps aggregate() or even table(). Sarah On Thu, Sep 12, 2019 at 3:30 AM Enoch Gyamfi Ampadu <egamp...@gmail.com> wrote: > > Dear List, > > Please I have carried out an RF and SVM forest cover classification in R. I > want to determine the area in hectors for each of the forest cover classes. > I have not been able to find my way out on it. I wanted to ask if it is > possible to do this in R and will be glad to have assistance on how to > carry that out. And possibly some lead codes to use (I am still learning R > and and how to code.) > > Thank you. > > Best regards, > > Enoch > -- Sarah Goslee (she/her) http://www.numberwright.com _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo