I am not sure about whether I should use spatial regression for the proximity analysis I am trying to do.
I’ll just describe the scenario and goal:
People claim that convenience stores lower nearby home property values. I want to actually prove this. So I want to essentially prove: is there a statistically significant relationship between the value of your house and how close you are to a convenience store?
Here are the data layers I am working with for the city of focus:
- vector polygons of houses in 2010 (contains property values of each house)
- vector polygons of houses in 2015 (contains property values of each house)
- vector polygons of convenience stores in 2015
Basically I am thinking I would need to first find out how much property values have changed between 2010 and 2015, by taking the 2015 houses layer and subtracting the 2010 houses layer. From this, I would produce a layer that would show the houses in either red (negative) or green (positive) with different shades. So in this new layer, if a house were red, it would mean the house went down in value and if it were green, it would mean the house went up in value. I would imagine these being in different shades, so pink would mean just went down a little bit in value, and dark red would mean went way down in value, and similarly for green, where light green means went up a little bit in value and dark green means went way up in value. Of course, I would first need to see if there is spatial autocorrelation associated with property values.
I would now have all of these red and green houses of various shades and convenience stores. My question is, how do I show if there is a relationship between proximity to convenience stores and the property values of the houses? Normally I would think this would just require regression, but since this is dealing with proximity, wouldn’t this require spatial regression or a geographically weighted regression? Does my approach sound reasonable? I am just trying to figure out what the output of this regression would look like and how to interpret it. Which tools and methods in QGIS would I need for this?