Re: [R-sig-Geo] Soil as predictor in SDM

Dear Narayani and Ben, thank you very much for your replies. Actually I'm working with biomod2, not dismo neither other models outside biomod2 (i.e. I use maxent but inside the biomod2 package) but I did it, I saw that biomod2 is able to handle categorical (factorial) raster too :) Thanks --

Re: [R-sig-Geo] WorldClim Version2

I would assume `raster::getData("worldclim", ...)` uses WorldClim version 2? --Mel. On 09/25/2017 05:14 PM, Andy Bunn wrote: Great. Thanks Marcelino. I have all the data dowloaded. I'm surprised that there isn't a dedicated package for

Re: [R-sig-Geo] Soil as predictor in SDM

Hi Maurizio, I do not really understand what exactly your problem is. Getting the soil information stored in a raster file into a data.frame? General use of factor variables in a model? I also do not see the link between a factor variable and model bias. Happy to help after clarification.

Re: [R-sig-Geo] Soil as predictor in SDM

You can use categorical variable as categorical even with number. If you are using Maxent, then you can specify that this variable as categorical. And maxent will take care of it. On the safer side instead of specifying the categories as numbers, change categories to characters. Regards, Narayani

Re: [R-sig-Geo] Soil as predictor in SDM

Hi, This is addressed briefly in section 4.2 of the dismo package vignette. https://cran.r-project.org/web/packages/dismo/vignettes/sdm.pdf Does that answer your question? Ben > On Sep 27, 2017, at 10:59 AM, Maurizio Marchi

[R-sig-Geo] Soil as predictor in SDM

Dear R users, I would like to include soil as predictor in my model and in addition to climatic variables. Anyway I have some doubts concerning the usd of categorical values such as the format of my raster file. Actually, my soil type data are categorical codes, should these codes be described as