PT - JOURNAL ARTICLE AU - Záboj, Marek TI - Spatial analysis and retail saturation of the shopping centers in Czech Republic DP - 2014 Oct 7 TA - Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis PG - 335--342 VI - 57 IP - 6 AID - 10.11118/actaun200957060335 IS - 12118516 AB - The paper deals with spatial analysis of the shopping centers according to individual regions in Czech Republic. The centers over 10 000 m<sup>2</sup> were identified with their total retail space and gravitational model was utilized to determine the break point between two competing regions - the point at which a person residing in an intermediate community would be likely to travel to one region rather than the other. Next part is aimed to calculation of saturation indicators. First one is coefficient of shopping centers saturation - measured like portion of retail space in all shopping centers per capita in each region (the average in Czech Republic is 0,115 m<sup>2</sup>.cap<sup>-1</sup>.; the lowest ratio was determined in South-Bohemian region - 0,033 and next is Karlovy Vary - 0,035; Hradec Králové - 0,049 and Vysočina - 0,048 regions; the highest ratio was determined in Liberec region - 0,275 and next is Central-Bohemian including Prague - 0,253; South-Moravian - 0,182 and Plzen - 0,157 regions). The second one is index of retail saturation - the population of the region is multiplied by the monthly expenditure on the goods and services the retailer wants to sell in shopping centers and this is divided by the total retail space in all shopping centers in the given region (the average in Czech Republic is 77 094,77 CZK.(m<sup>2</sup>)<sup>-1</sup>; the same rank was determined - the highest index in South-Bohemian region - 175 909 and the lowest index in Liberec region - 20 224). The main result is comparison of regions according to their shopping centers saturation and recommendation to possible investors, developers and retailers where is the best site to invest and build a new complex of retail stores according to given indicators of spatial analysis.