A collaborative report written in R as part of the Spatial Analysis and Geocomputation module during my Geospatial Sciences, GIS and Computing MSc (Distinction, 82%). The report compares five spatial regression models predictive power in determining green space in London: Spatial Lag, Spatial Error, Spatial Durbin, Geographically Weighted Regression (GWR) and Linear Regression with Spatial Filtering.
| Percentage Green Space per Ward in Greater London | Correlation Matrix for Dependent Variables |
|---|---|
 |
 |
| Median Income per Ward in Greater London | Ethnicity Distribution per Ward in Greater London |
|---|---|
 |
 |
| Green Space Semivariogram | Percentage Green Space per Ward in Greater London (North, East, South and West) |
|---|---|
 |
 |
| Fitted and Observed Values of % Green Space per Ward in Greater London | Fitted and Observed Values of % Green Space per Ward in West London |
|---|---|
 |
 |