ABSTRACT
It is often desirable in an analysis to examine the relationship between two or more variables. By relationship, we mean the manner in which one variable changes given change in another variable, ceteris paribus. An increase in the value of one variable might be associated with an increase in another; conversely, an increase in one variable might be associated with a decrease in another. It is very tempting when faced
9.1 Introduction .................................................................................................. 227 9.2 Linear Regression ......................................................................................... 229 9.3 Regression with spatial data .........................................................................230 9.4 Geographically Weighted Regression........................................................... 231
9.4.1 How Well Does the Model Fit? ......................................................... 231 9.4.2 What Is the Best Bandwidth? ............................................................ 233
9.5 Geovisual Analytics and GWR .................................................................... 233 9.6 An Example — Voter Turnout in Dublin .....................................................234
