  Power law distributions characterise several natural and social phenomena.
The Zipf law for cities is one of those. The study views the question of
whether that global regularity is independent of different spatial
distributions of cities. For that purpose, a typical Zipfian rank-size
distribution of cities is generated with random numbers. This distribution is
then cast into different settings of spatial coordinates. For the estimation,
the variables rank and size are supplemented by spatial spillover effects in a
standard spatial econometric approach. Results suggest that distance and
contiguity effects matter. This finding is further corroborated by three
country analyses.
