Exploratory Regression
Exploratory Regression results with all 8 census variables
Significance of Variables
Chosen Explanatory Variables: Education, Immigrants, Visible Minority
Geographically Weighted Regression
After completing an OLS model, a GWR was performed with the dependent variable (Density of Incidences) and the 3 chosen Explanatory variables (Education, Immigrants, and Visible Minority) to fit a local regression equation for each feature (DA). GWR was completed with an Adaptive kernel type, and an AICc bandwidth. Coefficient raster surfaces were manually made by converting DA polygons to rasters (cell size 50) and displayed in stretched symbology – Standard Deviation.
Additional Census Variables
An Exploratory Regression was repeated to include additional census variables: % Labour Force by Industry: Mining, quarrying, and oil and gas extraction, % Labour Force by Occupation: Natural resources, agriculture and related production occupation and % Labour Force by Industry: Agriculture, forestry, fishing and hunting.
Exploratory Regression with Additional Variables
Chosen Explanatory Variables: Education, Immigrants, Mining Industry, Natural Resources and Agriculture
An OLS and GWR were completed once again following the same parameters as specified above.