Point pattern analysis in Python: quadrats, nearest neighbour and Ripley's K on Camden's street trees
Test whether points are clustered with point pattern analysis in Python: a quadrat chi-squared test, the Clark-Evans nearest-neighbour index and Ripley's G, F, K and L functions with Monte Carlo CSR envelopes, edge correction, a global MAD test and a random-labelling null, on 3,292 London plane trees in Camden.