Geographic Information Systems Stack Exchange is a question and answer site for cartographers, geographers and GIS professionals. Join them; it only takes a minute:

Sign up
Here's how it works:
  1. Anybody can ask a question
  2. Anybody can answer
  3. The best answers are voted up and rise to the top

I'm somewhat confused about regression models. I decided to create a GWR model for a project using 35 polygons of health data. However I find now that my model has flaws and I cannot create a GWR model probably because the dataset is too small.

When creating a OLS are we meant to remove all variables that are related? if I'm modelling obesity, I would think that income, exercise are factors that relate to it so what purpose does the OLS model serve? I created a model after removing auto correlated variables but I'm kind of confused as to what its meant to be showing.

share|improve this question
This might help answer your question.… – Sam007 Jun 13 '12 at 0:15

This might help answer your question.

Regression Model and Spatial Autocorrelation

It gives you the understanding of how the OLS and GWR are statistically different.

share|improve this answer

Your Answer


By posting your answer, you agree to the privacy policy and terms of service.

Not the answer you're looking for? Browse other questions tagged or ask your own question.