Reputation: 51
Sorry if this question has come up before but I would like to ask if anyone knows what goes into each of the arguments in maxent()
from the dismo package? I have searched the various R forum sites and the R help page itself but I couldn't understand how to put in my arguments.
I have a sample of my data frame for the predictor variables here
library(dismo)
system.file("java", package="dismo")
bio_14 bio_19 bio_3 bio_5 forest_cover
9 125 67 329 1
9 125 67 329 1
9 124 68 329 3
10 126 67 319 3
Each row is either a background or presence point.
What I don't understand after that is what goes into the p and a arguments in the maxent()
formula. Does the p argument contain x and y coordinates and the 3rd column indicating 1 (presence) and 0 (absence)? Or does column containing the 1s and 0s go into the a argument instead? forest_cover
is a categorical variable.
DataM<-read.csv("Maxent dataset.csv", header=T)
DataM<-data.frame(DataM)
parg<-read.csv("maxent p arg.csv", header=T)
aarg<-read.csv("maxent a arg.csv", header=T)
DataM[,'forest_cover'] = as.factor(DataM[,'forest_cover'])
#p
x y
328206.7075 1257255.387
328759.7075 1256632.385
323102.7012 1256404.391
323029.7117 1267187.402
#a
pb
1
1
1
0
#Final code
maxent1<-maxent(x=DataM, p=parg, a=aarg, factors='forest_cover')
Error in maxent(x = DataM, p = parg, a = aarg, factors = "forest_cover") :
unused arguments (x = DataM, p = parg, a = aarg, factors = "forest_cover")
Please do tell me if I should be moving some of the stuff around and if they are in the right data frames. Thanks in advance
Upvotes: 3
Views: 4607
Reputation: 1111
I don't know if this will help but my code looks like the following. You can set your arguments as below. If you open maxent.jar and click the help button in the MaxEnt GUI, you will get a list of arguments. Simply type in the name of the argument and set its value and it should then work.
`xx<-maxent(x=expl,p=spp.coords$garmani, args=c(
'maximumbackground=10000',
'defaultprevalence=1.00',
'betamultiplier=0.5',
'pictures=true',
'randomtestpoints=30',
'linear=true',
'quadratic=true',
'product=true',
'threshold=true',
'hinge=true',
'threads=2',
'responsecurves=false',
'jackknife=false',
'askoverwrite=false'
))`
EDIT: I should add that 'x' is my raster stack of covariates (in this case BioClim layers) and 'p' is simply a list containing xy coordinates (in that order) for my species.
Upvotes: 3
Reputation: 51
Ran the maxent in R in the following way
maxent(predictors, parg, aarg)
where
predictors: stack of environmental variables
parg: coordinates of presence localities (x and y coordinates in separate columns)
aarg: coordinates of background points (x and y coordinates in separate columns)
Upvotes: 1