The article compares two methods for filtering out spatial effects in regression analysis using economic data. One method is based on the Gi local statistic, while the other uses eigenfunction decomposition and a Moran's I statistic. Both methods were found to be effective in creating similar regression models, but each should be used in the appropriate context.