Port cities are having diff erent spatial structure than those located inlands. As a result of their seaside location, they face specifi c administrative and functional problems on a daily basis. In the economic and settlement structure of the country, they usually play the role of a “gate” through which streams of cargo are distributed further over the whole hinterland. It is the transport and logistics function of port cities, as well as the water bodies located in their area, that determine their spatial character to the greatest extent. The confi guration of the two above- mentioned factors, together with other development conditions, determines the model of spatial changes taking place in port cities. Additionally, evolving shipping technologies aff ect the contemporary development of the ports’ and port cities’ spatial structure.
Local geometric deviations of free-form surfaces are determined as normal deviations of measurement points from the nominal surface. Different sources of errors in the manufacturing process result in deviations of different character, deterministic and random. The different nature of geometric deviations may be the basis for decomposing the random and deterministic components in order to compute deterministic geometric deviations and further to introduce corrections to the processing program. Local geometric deviations constitute a spatial process. The article suggests applying the methods of spatial statistics to research on geometric deviations of free-form surfaces in order to test the existence of spatial autocorrelation. Identifying spatial correlation of measurement data proves the existence of a systematic, repetitive processing error. In such a case, the spatial modelling methods may be applied to fitting a surface regression model representing the deterministic deviations. The first step in model diagnosing is to examine the model residuals for the probability distribution and then the existence of spatial autocorrelation.