The characteristic of landscape-and-biotope preference of the wild boar (Sus scrofa L., 1758) in the Central Caucasus (within the Kabardino-Balkar Republic) in terms of remote information

The possibility to characterize landscape-and-biotope preference in the wild boar in the Central Caucasus in terms of remote sensing data using different methods of mathematical analysis (discriminant analysis, neural networks, MAXENT), is described. It is shown that they allow both to reveal basic factors affecting the species distribution and visualize its potential range that is very important for planning different measures for rational use of the species.