title: Detection of Spatial Trade Clusters by Means of Geoinformation Technologies
abstract: A methodology for detection of spatially distributed trade clusters across the territory was developed based on the kernel density function used in GIS technologies. To determine the optimal parameters for the placement of trade enterprises, interpolation distance for density assessment of point objects and a minimum concentration threshold are applied, allowing for the identification of various types of trade clusters in the Republic of Crimea. The aim of the article is to identify evidence of 
journal: Regionalnaya ekonomika Yug Rossii