Planning of the Species Composition of Urban Green Spaces Using Network Modeling and Comments from Users of Social Networks

The chapter presents a method for determining the permissible species composition of plants for a given territory, taking into account environmental factors, factors of ecological and anthropological impact, growing conditions, and the values of the inhabitants of a given territory. The developed model can be used to plan the breed composition in a new territory without existing vegetation cover, to create biodiversity in existing conditions. The model uses information about the compatibility of species, polluting objects, noise sources, and shadows created by buildings. At the output, the model offers compositions of plant species under specified conditions in a limited area that will be as stable as possible under specified conditions. The formation of a stable biotope from various representatives of the species diversity of the flora consists of a composite combination of several plant species in a certain area with close or possible close contact during growth. Additionally, the model uses the experience of the inhabitants of the area, their historical experience, and in the form of comments on green areas (parks, gardens, and squares closest to the site of the species composition). The assessment of the communicative practices of the Google Maps geoinformation network was carried out using classification and classification methods to search for mentions of problems related to landscaping. To collect feedback, a database was collected for all districts of the pilot city, all parks were selected, then, with the help of a parser, comments were collected. With the help of machine learning methods, those reviews were selected that described the problems associated with landscaping and trees. The information obtained is used in the model to plan the breed composition in the new territory.