8 species to model

[Sunil Sapkota]

Are there any techniques to run an entropy(ENMeval and Maxent) model for different species with a variable number of presence points? 

[Cooper Marcus]

Can you just run it eight separate times, once for each species?

On Jan 12, 2022, at 8:20 PM, Sunil Sapkota <sunilsa...@gmail.com> wrote:

Are there any techniques to run an entropy(ENMeval and Maxent) model for different species with a variable number of presence points? 

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[Sunil Sapkota]

ohh my god that is a huge task. thank you so much. 

Sunil Sapkota MSc. Natural Resource Management (Scholar, UMCSAFS) College of Natural Resources, Punakha, Bhutan. Founder President http://raisehandsnepal.org/

Phone: +97517332805(Bhutan)             +9779845364525(Nepal) Skype: huntedbysnakes Follow me:

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[gpo...@gmail.com]

Just use some for loop and let R do the iterrations. Should not be
hard.

У пет, 14. 01 2022. у 20:28 +0545, Sunil Sapkota пише:

> ohh my god that is a huge task. thank you so much. 
> Sunil Sapkota
> MSc. Natural Resource Management (Scholar, UMCSAFS)
> College of Natural Resources, Punakha, Bhutan.
>
> Founder President
>

> http://raisehandsnepal.org/

> gmail signature.jpg
> Phone: +97517332805(Bhutan)
>             +9779845364525(Nepal)
> Skype: huntedbysnakes
> Follow me:
>
>
>

[Jamie M. Kass]

Just to chime in here, I agree that a for loop is best here. In R, it would take the form:

my.species.filenames <- c("sp1.csv", "sp2.csv", "sp3.csv")

my.species.data <- list()

for (i in 1:length(my.species.filenames)) {

  my.species.data[[i]] <- read.csv(my.species.filenames[i])

}

my.species.results <- list()

for (i in 1:length(my.species.data)) {

  my.species.results[[i]] <- ENMevaluate(my.species.data[i], ...)

}

The results would then be accessible from the list my.species.results.

Jamie