Classical Modifiable Areal Unit Problem in Geospatial Data Science

Your geospatial decision-making largely depends on what set of boundaries you choose for your analysis . An ideal area for analysis should have an ideal shape and size.Clustering all locations based on proximity to each other to find dense clusters is a good way to find the boundaries for areas on which you want to run your analysis