Biodinamica species richness submodels.

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benitez...@gmail.com

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Jun 22, 2022, 7:23:12 PM6/22/22
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Dear Colleagues,

I've been trying to run the different types of species richness submodels (prediction, resample, and resample prediction) and none of them seems to work regarding svm, rf, and glm algorithms but the interpolations (kriging, nni and spline) runs fine, I had no error whatsoever during the process but when I go to my output folder there's no files for svm, rf or glm. I don't know if it is a bug but I tried re-installing Dinamica, biodinamica and the enhancement plugins several times and nothing has changed.

Has anyone experienced the same problem as me and solved it? or could someone help me to solve it? actually in this case I don't know where to start since there is no error message. Could it have something to do with the parameters settings? like the size of the hexagons or the amount of minimum samples?.

Thanks for your help!

Regards,

Camilo Benitez

Ubirajara Oliveira

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Mar 24, 2024, 9:03:55 AM3/24/24
to Dinamica EGO
Dear Camilo Benitez

I'm sorry, there were several problems in the BioDinamica libraries due to the discontinuation of the rgdal package in R, but these problems have been resolved. Just download the new version. To do this, you need to have the most current version of Dinamica-EGO and the Enhancement Plugins of this version. In the submodel menu, within DInamica, click on submodel manager, and check for updates (if you already have BioDinamica installed). If you do not have BioDinamica installed in this version of DInamica-EGO, click on the store tab, on the submodel manager and select BioDinamica and install the updated library. 
All models related to richness were concentrated in the Species Richness Prediction function. Some forms of interpolation were discontinued (spline and NN) because they showed very poor results in tests (article that will be public soon). In addition to the SVM, GLM and RF functions, a series of new prediction algorithms were included (both for the species richness metric and for others: endemism, phylogenetic diversity, etc.)

Best regards,
Ubirajara Oliveira


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