README.md

Spatial-Econometrics

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.

Link to the Report (HTML)

Example of Results and Visualisations

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