CARTOGRAPHICINTERPRETATIONOFFOODSECURITY INRUSSIANREGIONS

Abstract

The article presents the author's methodology for evaluative mapping of a socially significant phenomenon of food security. As one of the most important issues of society, the author proposes a radical innovation of a previously unmapped social phenomenon in economic geography and combinatorial innovation in cartography, providing an understanding of its essence, without which it is impossible to ensure further knowledge of a cartographic work. By means of analogies, a cartographic visualization of food security was performed using the color marking method. The main stages of using the color coding system, which makes it possible to determine the degree of risk in various situations in an accessible form, are considered. For the preparation of food maps, the concept of "food level in the region" was introduced. In order to increase the validity and information content, food levels are highlighted and a brief description of them is presented according to the main colors of danger - green, light green (yellow-green), yellow, orange and red. It is proposed to use in the preparation of food maps a system of indicators of the balance of food producing and consumed volumes of food, which form for the regions two main types of food security, three main types of regions in terms of food balance with five levels of danger and nine of their subtypes. The example of mapping one of the main food of crop production - grain is represented within the framework of these studies. An example of constructing a main and derivative map of food security with grains and legumes in the regions of the Russian Federation is given. The derived map provides a breakdown of the typological groups of regions with subtypes, providing opportunities to trace potential transitions between levels as the quantitative indicators of production and consumption change. In conclusion, it was noted that food levels according to the colors of danger increase the complexity of the semantic load and the information capacity of the maps.