The jackknife of training gain / test gain / AUC refers to models that contain only one variable or that leave out exactly one variable. These models were all run automatically as part of the Maxent software. The idea is that you can see how much of the full model fit (test gain) or other metrics is accounted for by a single variable by itself or, alternatively, how much the model fit is dependent on a single variable (decrease in fit when not present.) Response curves, on the other hand, show habitat suitability as a function of each environmental variable included in your model. The purpose is to understand which specific subsets of the environment your species is associated with. For more information, see: ruclips.net/video/ZoCDT1NQtJY/видео.htmlsi=HLH_GCqrF546Fmne
Great video.
Hope to see a follow along practical tutorial with script and example.
What is the difference between jecknif and response curve
The jackknife of training gain / test gain / AUC refers to models that contain only one variable or that leave out exactly one variable. These models were all run automatically as part of the Maxent software. The idea is that you can see how much of the full model fit (test gain) or other metrics is accounted for by a single variable by itself or, alternatively, how much the model fit is dependent on a single variable (decrease in fit when not present.) Response curves, on the other hand, show habitat suitability as a function of each environmental variable included in your model. The purpose is to understand which specific subsets of the environment your species is associated with. For more information, see: ruclips.net/video/ZoCDT1NQtJY/видео.htmlsi=HLH_GCqrF546Fmne
I am facing a problem related to Mismatch distribution in Arlequin software... It would be great if you could help me.
Hello, not sure what you mean. Can you provide more detail? Best, Josh
@@DrJBanta i have mailed you... If you want i can share the arp file also
@@arifshahariar4519 I do not see any emails from you. Best, Josh