How can I model a species distribution for a future climate scenario

[ManuelSpinola]

I am using itsdm for species distribution modeling.

I have an isotree_po object with historic bioclimatic variables. I want to model the spcies dsitribution for a future climate scenario. I have future bioclimatic variable.

I try using the function probability but the stars object has 3 dimensions (x, y, and the 19 bands).

How can I have a stars object of stacked rasters with only 2 dimensions?

[LLeiSong]

Hi @ManuelSpinola
You can use the probability function to perform predictions using another set of bioclimatic variables. However, it requires the users to convert the stars object to include only the x and y dimensions. This restriction is in place to minimize the chances of misusing categorical variables.

To use the probability function, you should first split the bands into attributes and then proceed with the prediction. Assuming you have already obtained the isotree_po object named mod, you can use the following code to perform predictions using the probability function:

future_climate <- stars::split(future_climate)
suit_future <- itsdm::probability(mod$model, future_climate)

Hope this helps.

[ManuelSpinola]

Thank you very much. Very nice package. El sáb, 10 jun 2023 a las 19:59, Lei Song, PhD ***@***.***>) escribió:

…

Hi @ManuelSpinola <https://github.com/ManuelSpinola> You can use the probability function to perform predictions using another set of bioclimatic variables. However, it requires the users to convert the stars object to include only the x and y dimensions. This restriction is in place to minimize the chances of misusing categorical variables. To use the probability function, you should first split the bands into attributes and then proceed with the prediction. Assuming you have already obtained the isotree_po object named mod, you can use the following code to perform predictions using the probability function: future_climate <- stars::split(future_climate) suit_future <- itsdm::probability(mod$model, future_climate) Hope this helps. — Reply to this email directly, view it on GitHub <#10 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AFI3FB4KDNJZS756HOIVKW3XKUQ7BANCNFSM6AAAAAAYMHMFHA> . You are receiving this because you were mentioned.Message ID: ***@***.***>

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