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I've done some research. I took some points in two coordinate systems non metric (WGS84) and metric (Poland 1992). I used this code: from scipy import loadtxt from sklearn.cluster import Birch import matplotlib.pyplot as plt data84 = loadtxt("/home/damian/workspace/84.csv", delimiter=",") data90 = loadtxt("/home/damian/workspace/90.csv", delimiter=",") ...


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This will not be ideal, but it will produce results, and you could refine it to produce something closer to an idea result with some custom code: add a column to your table ALTER TABLE foo ADD COLUMN geohash varchar populate it with the geohash UPDATE foo SET geohash = ST_Geohash(geom) query for different overview levels using substrings of the geohash ...



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