The need for electricity and its extraction without stimulating climate warming processes are currently more relevant than ever. Using wind energy to generate electricity is one of the most promising methods. When designing wind energy parks, it is necessary to choose a suitable place for their installation. This study examined the suitability of plots for the construction of these structures in the areas of abandoned land in non-urbanized and non-urbanized areas. In the course of the research, various limitations were examined, the territory was analysed using geoinformation systems. Modelling of the selected territory has been carried out, areas suitable for the installation of wind energy plants have been identified. It was established that the total area of land that can be used for the installation of wind energy plants is small and the criterion of abandoned land is not the indicator on the basis of which it can be stated that the territory is suitable for the construction of wind energy plants.

Some tasks require identification of landmarks in districts beyond the reach of existing optical observation facilities. The accuracy of their determination significantly affects the effectiveness of the use necessary equipment during the task. In the paper an algorithm to determine the object parameters using a flying platform is offered. An observation point is installed which is equipped with a navigation system to solve this task. This ensures its orientation and positioning. From the observation point an aerial observation point is displayed. It is suggested to use a flying platform. The coordinates of the flying platform are determined relative to the observation point; the coordinates of the landmarks are determined relative to the flying platform. The mathematical model of the estimation error determination of object coordinates with the help of a flying platform is proposed. The analysis of errors in determining the parameters of the object using a flying platform is conducted. Analysis of the results of mathematical modelling is conducted using the package of applications Mathcad. The dependence of these parameters on the relative position of the observation point, platforms and object is examined. It is shown that the main contribution to the error of determining the coordinates of the landmark is given by the errors of determining the observation point location and measuring the range. An analytical correlation is obtained, which allows to estimate the errors of determining the coordinates of the landmark using the flying platform with known errors in determining the observation point coordinates and the range determination of the range finder.

Ukraine is one of the countries where the problem of waste management is particularly acute and deteriorating every year. The Regional Waste Management Plan in Volyn region by 2030 envisages a reduction in the total amount of landfilled waste from 97.68% to 30%, and the number of sites for their disposal – up to 4–8 regional landfills per region. Ecological-economic mechanism of solid non-hazardous waste (SNHW) management is based on a harmonious combination of environmental constraints with the economic attractiveness of regional landfills and involves working with geographically defined objects based on the use of methods of processing geospatial information, one of which is mathematical-cartographic modelling. Thus, the main purpose of this work is to substantiate the possibilities of applying the method of mathematical-cartographic modelling in the design of the system of regional landfills of SNHW in the Volyn region. In order to address the issue of placement of SNHW management facilities, the territory of the region is divided into four management clusters. The division of the territory took into account the composition, properties, methods of solid waste collection, logistics, load on waste processing complexes, volumes of waste generated, spatial planning, etc. Three probable options for the location of regional landfills have been developed for the Lutsk SNHW cluster. The results of the study can be used in the development and adjustment of regional plans, waste management programs, as well as in the work of the executive bodies of the united territorial communities.

The aim of the research is to assess the system peculiarities in terms of green areas and plantations in Kaunas. Together with the analysis of Kaunas recreational system, the problems of the system of green areas functioning in the city emerged, because urbanization in the city has split up the system of green plantations into small areas and violated their functions. The available General Plans of the city have already attempted to improve the current situation. However, the real endeavours or actions taken, which could shape or structure the unified system of the territorial greenery are very insignificant. The location of territorial green plantations in Kaunas is not equivalent, the majority of them coincide with the green plantations of the local residential areas, but in the newly developed neighbourhoods could be vividly witnessed the shortage of green areas. To optimize the system of green plantations of the city it is suggested, when designing new residential areas to be developed, to plan areas for greenery, introduce green connections into the system of green plantations, to create migration corridors and structure the integral system of green areas.

One of the most challenging tasks in modelling of house pricing is to take into account the location factors. Geographically Weighted Regression (GWR) as a local regression model is an extremely effective instrument for spatial data analysis. The aim of the study is to model the relationships between a residential real estate price (per sq.m) and both building and location characteristics for Gomel using GWR. The data of the Belarus’ National Cadastral Agency on real estate transactions (apartments) in Gomel in 2019 are used as initial. The global Moran I index has been used to estimate a spatial autocorrelation of the dependent variable (price per square meter of residential real estate). Several factors having the impact on the apartment sale prices have been determined. Independent variables having been used in analysis can be divided into building characteristics and spatial characteristics. The building characteristics section includes the number of rooms within the property, property area (square meters), building age, number of floors in the building, floor of the property. The spatial characteristics group contains proximity to city centre, recreation areas, supermarkets, bus stops, healthcare and educational facilities. A regression model of housing price in Gomel has been developed. Mapping variable regression coefficients allows exploring spatial features of the impact of the different explanatory variables on the property price. Geographically weighted regression modelling has revealed the pricing peculiarities inherent for certain areas of the city.