
 

Danlin,

First, I want to thank you for taking time. My dependent data is insect counts as average values. Among independents, host plant species, orchard age, pesticide application(0/1), plant phenology(1-5 scale), irrigation method (0/1), natural enemy counts, soon will gather weather data for the corresponding period to include in the analyses.

 

My first goal is to look for hotspots, then want to see if any geographic correlation between those above. I am new to spatial stats and searching for methods that may indicate some geographic relations.

 

Best wishes,

 

Alper

 

 

> Alper:
> 
> Without knowing exactly what type of data that might be, I would say the 
> data probably are not the best set for GWR analysis (not even for OLS, I 
> might add) due to the lack of variation of your dependent variable. In 
> addition, nominal (coded, I assume?) independent variable can cause no 
> variation at all in locally weighted calibration.
> 
> Is there a compelling reason that you believe GWR is a reasonable choice 
> for your data analysis?
> 
> Hope this helps.
> 
> Cheers,
> Danlin

 		 	   		  
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