HyperNiche and NPMR

Good morning Bruce, Following the advice in your last post I found all settings to be the same except

John, I completely agree with your assessment. Confidence ellipses assume that the points within a

THANKS!!!! On Monday, 13 January 2020 11:22:17 UTC+1, Nina Nikolic wrote: Dear HyperNiche team,

Dear HyperNiche Google Group: I'd like to share this open-access paper that was just published

Thanks for your further thoughts, Bruce. Just a clarification that since my response is binary, I

I would suggest removing the predictor with the lowest sensitivity. Alternatively you could remove

Well, that is a boatload of predictors, so it makes sense to be concerned about that. Your best

Chris, the idea of two completely separate sets of variables was just an example. I guess my general

We use the local mean Gaussian weighting function. Thank you for your answer Bruce El martes, 29 de

One more thing Bruce - I'm hoping you can recommend the distance measure you think would be most

It does help indeed. Looks like I will end up using both but for different studies and objectives.

Thank you Bruce for your answer it was really helpful El jueves, 27 de diciembre de 2018, 8:39:18 (

I replied directly to your Email address. Chris On Monday, November 19, 2018 at 2:15:19 PM UTC-7,

Does your Excel file have the HyperNiche/PCORD headers or not? Chris On Friday, November 16, 2018 at

Hi everyone, I'm close to finalizing a manuscript that uses NPMR/Hyperniche to model whale

Hi everyone, I'm glad this question was asked before. I had been struggling to understand how

Great, thanks for your comments. Yes, if you have continuous response variables, then xR2 is the way

I really appreciate your quick and helpful feedback, Bruce! On Wed, Oct 19, 2016 at 7:08 PM, Bruce

Hi Bruce, Thanks for your helpful feedback. I have looked into this a little bit further and have the

Daniel, I believe you will see the AUC if you use Model | Evaluate Selected Model. Bruce On Sep 23,

Thanks, Bruce. This is very helpful. Daniel On Friday, September 2, 2016 at 7:38:49 PM UTC-7, Bruce

Bruce: thanks for your reply. I'll give some thought to the option you suggest of doing a

The only problem I can see with it is if there is an issue of circularity. For example, say you have

with the new hyperniche 2.30 now everything works fine. you are the best in the world! thanks.

I strongly recommend using v.2 rather than v.1 -- lots of additional features, plus better error

Thank you for your guidance. I'll try that! On Tuesday, October 27, 2015 at 8:40:59 AM UTC-7,

Yes, your conclusion on the small xR2 values is correct. Bruce On Wed, Oct 7, 2015 at 12:33 PM,

1. If transformation of your predictors doesn't help their explanatory power, I'd recommend

1. On your goals. Yes, I'd say you are looking for a parsimonious model. For this example, Pred.

Elizabeth, The GIS application is designed for situations where you have grids of predictors, not