Timeline for When to use spatial regression for the proximity analysis
Current License: CC BY-SA 4.0
3 events
when toggle format | what | by | license | comment | |
---|---|---|---|---|---|
Sep 23, 2020 at 3:03 | comment | added | nr_aus | I would run simple analysis to begin with, because this can give high level insight. It may be that - as you start to introduce more variables, the instance of these occurrences are minimal are may not be worthwhile investigating. Again, analysis will help here. Start with a simple question of 'how many houses are within X distance of more than 1 convenience store' and go from there. | |
Sep 23, 2020 at 2:49 | comment | added | LostinSpatialAnalysis | Thank you for the great suggestions! You make a good point by considering when a house is within distance of two convenience stores, since I don't think simply being near one convenience store would tell us all we need to know. A house being 50 feet away from a convenience store may be impacted less than a house 100 feet away from 10 convenience stores. For this reason, do you think it would be a good idea to create a kernel density around the convenience stores to show both convenience store proximity and density, rather than just considering proximity to only the nearest convenience store? | |
Sep 21, 2020 at 7:36 | history | answered | nr_aus | CC BY-SA 4.0 |