It is necessary to increase the informational supply of land-use planning so it causes the significance of investigation. Different cartographic materials are important part of this supply. For reaching this goal, authors developed the method of landscape diversity cartographo-mathematical modelling using GIS-technology. During the process of investigation, we got following results. We developed the method of landscape diversity modelling. We defined indexes describing landscape diversity, including: fragmentation index of natural region enclosures (amount of enclosures by landscape area unit); landscape complexity index (amount of enclosures and natural regions by its average area unit); landscape fragmentation index (ratio of average area of landscape enclosure to landscape area), pattern index (average amount of natural region enclosures to one group); Margalef and Menchinik indexes (relative abundance of natural region groups). We proposed the relationship for landscape diversity integrated index calculation and developed the quality determination scale for its evaluation. We tested the method on the East of Leningrad region including 16 landscapes (grouped to 5 types) and 1876 natural region enclosures. Landscape maps were main materials for investigation. Obtained results of landscape diversity evaluation have no contradictions with other researchers’ works.

Value of forest ecosystems’ natural potential is examined as composition of forest resources (timber and non-timber forest products) as natural capital. Also, value is examined as composition of environment-forming and social functions of forest objects as part of ecological potential of forest areas. Regional (national) richness includes all natural resources, all tangible and intangible assets made by nature and humanity in this region. By calculation results, value of forest resources (natural capital of forest ecosystems) is about 12-16% of total value of forest site for commercial forests of Middle Ural. Value of ecological potential is about 84-88% of total. It grows to 92-96% for protection forests. Natural potential of forest ecosystems is comparable to production potential of agriculture, mining or power generation.

The purpose of the paper is to create clear visualization of passenger traffic for Saint Petersburg subway system. This visualization can be used to better understand the passenger flow and to make more informed decisions in future planning. Research was based on officially published information about passenger traffic on subway station for years 2016 and 2018. Visualization was created with the variety of methods and software: Voronoi diagrams (QGIS software), social gravitation potential (R programming language), presentation of gravitation potential as a relief (Blender software), service zones of ground transport accessibility (2GIS, QGIS and Mapbox mapping platform). In this research, authors propose the use of intersection between the service zones and social gravitation potential isolines as an instrument for spatial analysis of traffic data. Analysis shown that current development of subway system does not correspond to passenger distribution. All stations were classified according to their accessibility and propositions about future directions of development were made.

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