The article considers a method for automating the creation of a series of cartographic materials based on the integration of QGIS Atlas tools and the Python programming language. The study aims to optimize the preparation process of multi-page thematic atlases for large spatial datasets. An original method of nested iteration has been applied, which allows for dynamic changes not only in the spatial extent but also in the semantic styling of the display for each individual object. A key element is the developed algorithm based on the processing of the featureChanged event, which ensures automatic synchronization of district attributes with the corresponding .qml style files. The model was tested on a dataset exceeding 20,000 contours.

This article examines the current state of geospatial data visualization technologies and identifies the main trends in their development in the context of digitalization. It analyzes the architecture and functional capabilities of the national geoportal, as well as the network of geoportals operated by local governments and state administrations. The scientific novelty of the work lies in a systematic analysis of the implementation of service-oriented architecture (SOA) and Open Geospatial Consortium standards (WMS, WMTS, WFS, CSW) in domestic digital governance practices. A transition from static mapping to dynamic web-oriented GIS platforms has been identified. The research results, based on an analysis of real-world case studies of urban communities, demonstrate a high level of integration of visualization services (WMTS, WMS) despite a shortage of services providing direct access to objects (WFS, VectorTile). The conclusions drawn contribute to the optimization of spatial planning processes, territorial monitoring, and the making of informed management decisions in the context of the digital transformation of the state. The results of the study can be used to improve geoportals and develop geospatial data infrastructure.

The paper proposes the standardization of the software development methodology MSF Agile. It made by using the metamodel of software development methodologies from the ISO/IEC 24744 standard. Original of MSF Agile named MSF for Agile Software Development and denoted MSF4ASD. MSF4ASD implemented in MSF version 4.0 in 2005 ?. in the tool/technology Visual Studio Team System. Therefore, here it is called an example of a specific software development methodology. Without implementation, the methodology exists, but it is better to call a specified generalized MSF methodology with the threat of losing practicality. Given the topicality of the Agile methodologies, MSF Agile can be a practically useful implementation of the generalized MSF methodology. The specific MSF Agile methodology can be obtained in two ways: 1) two-step specification or 2) standardization with subsequent specification. This article chooses the second way - first, MSF Agile standardized using the development methodologies metamodel from the ISO/IEC 24744 standard. After that, it is easier to perform practically useful specification, since the task becomes typical. Implementation will be possible using various information technologies (IT), including Microsoft IT. The specific methodology can already be directly used in practice. In the three main sections of this paper: 1) a standardization tool is introduced – the necessary elements of the software development methodologies metamodel from the ISO/IEC 24744 standard are described; 2) information about MSF4ASD is reminded, here simplified to MSF Agile; 3) MSF Agile is presented using the elements of the ISO/IEC 24744 metamodel. This shows how to make MSF Agile a standardized methodology. Then, by one-step reduction, it is possible to obtain a specific methodology that can constructively satisfy the Framework approach and facilitate the transition to Pattern-Based Spatial Engineering.

The article examines the lands of destroyed settlements in Ukraine as a new object of land-law and land-use planning regulation emerging under the conditions of full-scale war and not reducible to the conventional issues of physical reconstruction. It is substantiated that the universalization of the “build back better” paradigm is methodologically insufficient for the Ukrainian context, since some destroyed cities, towns, and villages have objectively lost, or are likely to lose, the capacity to be restored as fully functioning settlements due to the combined impact of security-related, demographic, economic, and infrastructural factors. It is shown that war-related destruction does not transform the territory of a settlement into a legally free space: even under conditions of actual depopulation, such territory remains structured by a multiplicity of private and public real rights to land, immovable property, and other assets, which makes its spontaneous transition to a new use impossible in the absence of a special legal mechanism. The purpose of the study is to develop an integral scientific and practical concept of the legal regime of the lands of destroyed settlements, to determine the criteria for their actual loss of settlement viability, to elaborate a legally sound algorithm for the land-use conversion of such territories, and to substantiate the institutional and economic model of their further use. The methodological basis of the study includes the analysis of Ukrainian normative legal acts, international programmatic and analytical documents, and official data on destruction, population displacement, and humanitarian demining. The working concepts of the “zone of settlement disintegration” and “war greyfields” are proposed to denote former settlement territories irreversibly damaged by war and deprived of a realistic prospect of restoration as places of permanent residence. The need for a special legal regime is substantiated; such a regime should combine an audit of settlement viability, inventory of land and property, identification of rights holders, voluntary buyout or compulsory acquisition with proper compensation, deposit of funds for unidentified persons, clearance, land reclamation, and subsequent change of the functional use of the territory. The practical value of the article lies in the formation of a conceptually and instrumentally coherent framework for the transition from a policy of reconstruction to a policy of lawful conversion of territories that have lost their settlement function, and for preventing their long-term spatial abandonment.

Ukraine’s agricultural sector faces a compound set of economic and spatial pressures: peri-urban land-use transformation, disrupted logistics, volatile fuel costs, and restricted mobility in wartime conditions. These challenges are especially evident in the Kyiv agglomeration, where agricultural operations increasingly depend on rapid re-planning under changing constraints. This study presents and evaluates a weights-based real-time routing platform for digital agriculture in Ukraine, integrated into a FAIR/OGC-aligned middleware architecture that consolidates multi-source data streams (satellite EO, UAV imagery when permitted, IoT telemetry, road and congestion layers, and administrative–economic registers). The platform operationalizes routing as a continuous decision-support service by allowing users to tune explicit weights across four criteria: time, direct cost, CO2e, and operational risk, while enforcing land-use and safety restrictions through hard spatial masks and soft penalty layers. Empirical testing was conducted over four pilot weeks in the peri-urban belt of Kyiv using a controlled-scenario design with three weekly templates: Baseline (A), Stress (B: high fuel prices and higher transport risk), and Sustainability-adjusted (C). The middleware maintained continuous advisory generation under intermittent UAV availability and short-lived network outages by employing store-and-forward edge buffers, asynchronous refresh, and lineage capture; exported route advisories were reproducible as CSV/GeoJSON with full provenance. Scenario results show strong sensitivity of weekly logistics costs to fuel-driven cost bands: compared with Scenario A, Scenario B increased direct logistics costs by 12.44%. In comparison, Scenario C increased costs by 6.22%. Tactical re-weighting protected time performance (approximately -1.15% total travel time in B and C). In comparison, feasibility remained high (=95% of jobs served within service windows), and restricted-edge violations remained zero due to enforced masks. CO2e totals remained stable across scenarios under uniform emission factors, highlighting the need for differentiated low-carbon corridors or fleet classes in future pilots. The results indicate that a standards-based middleware platform combined with weight-based routing can serve as a practical tool for land-use governance and agricultural economics by linking spatial constraints, cost dynamics, and auditable sustainability indicators within a single operational workflow.

The use of solar panels as a source of energy supply, not only for industrial enterprises but also for private buildings, began in Ukraine in the early twenty-first century. Widespread adoption became evident approximately a decade later, when the number of households equipped with solar power systems increased rapidly following the introduction of the so-called “green tariff”. The necessity for autonomous energy supply for individual houses has become even more acute in the context of the ongoing war. The object of this research may be considered the aspect (orientation) of the slopes of gable roofs in the spatial planning of residential areas, while the aim is to determine the amount of solar radiation incident on roof surfaces of different orientations equipped with photovoltaic panels. The article sets the task, based on the principles of geodetic astronomy, of determining optimal parameters for the orientation of solar panels installed on building roofs in order to maximise electricity generation. The calculations were performed for the day of the summer solstice under the conditions of the city of Ivano-Frankivsk. The value of the optimal roof pitch angle was adopted from existing literature sources. The conducted study illustrates how roof orientation affects the potential for solar energy utilisation. The calculated values of the solar energy coefficient K and the amount of solar energy E? for different orientation scenarios of gable roofs enable the formulation of relevant conclusions. The results of the study indicate that the optimal orientation of roof slopes for the installation of small-scale energy systems is the east–west configuration, which allows for maximising solar energy generation throughout the daylight period. In this case, the east-facing slope is active from sunrise until noon, while the west-facing slope is active from noon until sunset. In contrast, with a north–south roof orientation, the southern slope exhibits increased activity only for a relatively short period around midday, which is insufficient to ensure high efficiency throughout the entire daylight period. As expected, the northern slope receives the least solar radiation and, consequently, demonstrates the lowest efficiency in electricity generation. Roofs with diagonal orientations (north-west–south-east or north-east–south-west) provide a more uniform distribution of solar radiation throughout the day.

The article addresses the issue of geodetic support for monitoring land surface deformations caused by anthropogenic pressure and climate change, which is an important prerequisite for preventing soil degradation and ensuring sustainable territorial development. The aim of the study is a comprehensive investigation of the geodetic support system as a fundamental basis for obtaining spatial data necessary for assessing and forecasting the dynamics of land resource conditions. Erosion-prone agricultural lands of the Mizoch territorial community in Rivne region were selected as the object for practical testing of the proposed solutions. The study analyzes the algorithm of geodetic monitoring, which includes preparatory and field work, data processing, GIS-based modeling of spatial changes, and the stage of managerial decision-making. Particular attention is paid to the fact that each stage requires the integration of specific instrumental methods and topographic-geodetic procedures to ensure high-precision recording of spatial shifts in terrain and soil cover over time. The principles of forming a monitoring framework are described in detail. In particular, the basic criteria for designing geodetic networks are formulated, including the layout of profile lines, reliable fixation of at least two reference benchmarks outside the zone of potential deformations, and the optimal placement of working stations directly within the risk area. The practical value of systematic ground-based geodetic measurements for the timely identification of erosion centers and soil displacements is demonstrated. The accumulated set of verified spatial data provides a reliable basis for the development of effective land reclamation measures and for making informed management decisions in the field of land protection within the community. Prospects for further research include the adaptation of deformation monitoring tools to other types of landscapes and specific land-use regimes.

The article is devoted to the formation of applied foundations for the intellectualization of electronic geodetic instruments through their integration with artificial intelligence (AI) technologies. The study focuses on the transition from traditional measuring devices to adaptive geodetic systems. Such complexes maintain metrological stability in a changing environment. The methodology is based on a technical-analytical approach and structural modeling of intelligent devices. A comparative assessment of functional operating modes was carried out. An analysis of time series of geodetic observations was performed. Practices of artificial intelligence application in geoinformation systems were generalized. The information base consisted of the technical parameters of total stations and GNSS receivers. The characteristics of laser scanners and sensor monitoring platforms were used. Data from digital urban infrastructure management systems were applied. The results confirm the effectiveness of computer vision algorithms. It was established that intelligent geodetic complexes form a new approach to the organization of spatial control of infrastructure and territories. The systems operate not only in the mode of coordinate fixation, but also in the format of continuous analysis of object conditions. Integrated machine learning algorithms assess displacement dynamics, signal stability, vibration load levels, and the nature of changes in spatial parameters in real time. Particular attention is paid to the integration of total station surveying, GNSS, LiDAR, photogrammetry, and unmanned platforms within a unified digital environment. The effectiveness of intelligent geodetic sensors in monitoring systems for bridges, dams, tunnels, transport hubs, and high-rise structures was separately confirmed. The practical value lies in the development of a concept for a new generation of geodetic complexes. New instruments combine precise measurements with predictive analytics. Software automatically supports management decision-making. The scientific novelty is determined by a comprehensive approach to the integration of artificial intelligence. Instrumental tools are combined with analytical models. Infrastructural aspects of technology implementation in geodetic practice are taken into account.

The article proposes a multi-level theoretical and methodological model for assessing the impact of cultural heritage objects on the value of urban land and real estate. The relevance of the study stems from the fact that, in Ukrainian practice, the historical environment is still predominantly viewed as a constraint on development, while its market, fiscal, and spatial effects remain insufficiently measured. The aim of the article is to conceptualize the mechanisms through which heritage is capitalized into real estate value and to develop an analytical toolkit that combines classical spatial methods with new digital indicators of public attention. The research methodology is based on a combination of institutional analysis, hedonic pricing, spatial econometrics, and externality analysis, as well as the use of data from geographic information systems, market monitoring, users’ digital traces, reviews, and photometric indicators of platform visibility. It is substantiated that the influence of heritage assets on value manifests through several channels: aesthetic-symbolic, tourism-commercial, institutional-regulatory, infrastructural, reputational, and fiscal. The scientific novelty lies in introducing the concept of “net heritage capitalization,” defined as the difference between the heritage premium and the heritage discount. It is demonstrated that a positive price effect does not arise automatically from the mere presence of a heritage asset, but depends on clearly registered use regimes, a transparent conservation agreement, low regulatory uncertainty, and the owner’s capacity to maintain the property. The practical significance of the article lies in providing a framework for improving normative monetary valuation, tax policy, urban planning regulation, and investment decision-making within historical areas. It is concluded that the protection of cultural heritage should not be regarded as a consumption-type expenditure, but as a long-term investment in sustaining property values, strengthening local budget bases, and fostering the economic growth of historic territories.

The article assesses the ecological and agrochemical condition of agricultural lands using the automated soil sampling system Bodenprobenehmer N2006. The relevance of applying automated soil monitoring technologies under conditions of intensified agricultural production, the development of precision farming, and the necessity to evaluate lands affected by military impacts is substantiated. The study was conducted on a land plot covering 279.4 hectares located outside the village of Bryhadyrivka, Izium Territorial Community, Izium District, Kharkiv Region, Ukraine. To assess the condition of the soil cover, 60 composite samples were collected from the 0–30 cm arable layer, with the territory divided into elementary plots of up to 5 hectares each. Laboratory analyses included the determination of the main agrochemical and ecological-toxicological soil indicators, particularly soil solution reaction (pH), humus content, easily hydrolyzable nitrogen, mobile phosphorus and potassium compounds, micronutrients, and heavy metals. Statistical processing of the results involved calculating weighted average values, variation ranges, and coefficients of variation. The soils of the studied area were found to be characterized by a near-neutral soil reaction and high humus content, indicating the preservation of their natural fertility potential. At the same time, an imbalance in certain agrochemical indicators was identified, including low availability of easily hydrolyzable nitrogen, very low content of mobile zinc compounds, and low manganese content. The ecological-toxicological assessment revealed an increased concentration of mobile cadmium compounds across a significant part of the study area, as well as slight and moderate levels of lead contamination within certain elementary plots. The obtained results indicate the spatial heterogeneity of agrochemical and toxicological indicators, which may be associated both with the natural mosaic structure of the soil cover and with localized military-technogenic impacts. The expediency of using automated soil sampling systems for developing electronic maps of soil indicators, monitoring contamination, planning reclamation measures, and implementing precision farming elements is substantiated.

Urbanization and climate change reduce the effectiveness of the cooling regulating ecosystem services (RES) of urban green infrastructure; however, their ecological and economic assessment considering functional resilience—especially for suburban urban ecosystems under conditions of armed conflict—remains insufficiently developed. The aim of this study is to provide an ecological and economic assessment of urban green infrastructure as climate-regulating natural capital and to develop an approach for assessing cooling RES considering functional resilience using the case of Irpin during 2015–2024. The analysis was based on summer median Landsat 8/9 composites, ERA5-Land climate data, and pixel-based regression analysis in Google Earth Engine using NDVI, LST, NDBI, the Cooling Efficiency Index (CEI), and thermal hotspot dynamics analysis. A stable cooling effect of vegetation throughout the study period was identified (NDVI–LST regression coefficients ranging from -13.27 to -18.96), alongside a pronounced thermal impact of built-up areas (NDBI–LST ranging from +44.08 to +64.24). Despite relatively stable NDVI values (0.260–0.300), the area of thermal hotspots increased sharply after 2020, reaching 25.63% of the territory in 2024, while CEI indicated the maximum decline in cooling efficiency. The scientific novelty of the study is the proposed Functional Resilience Index (FRI), which integrates vegetation cooling performance, greenness level, cooling efficiency, and spatial thermal vulnerability. The critical decline of FRI from 1.72 in 2015 to 0.11 in 2024 empirically demonstrates that quantitative vegetation indicators alone are insufficient for assessing the functional resilience of RES. The proposed resilience-adjusted approach provides a more differentiated ecological and economic assessment of the natural capital of urban green infrastructure compared to the classical avoided cost method and may serve as an instrumental basis for decision-making in climate adaptation and urban land management.

The article substantiates a methodological approach to the assessment and optimization of land use in territorial communities based on the integration of geoinformation analysis, environmental indicators, and cartographic modeling. The study was conducted using the example of the Zhydachiv urban territorial community, for which the current land-use structure was analyzed and the dominance of arable land (about 45%) was identified, leading to an increased level of anthropogenic pressure and reduced ecological stability of the territory. A comprehensive assessment of the environmental condition was carried out using coefficients of ecological stability, anthropogenic load, and an integral indicator, which made it possible to quantitatively and spatially characterize the level of landscape transformation. Spatial differentiation of the ecological condition of the territory was revealed, and zones with different levels of environmental tension were identified, in particular central urbanized areas as hotspots of increased pressure and peripheral areas as zones of relative stabilization. A series of cartographic models was developed to reflect the land-use structure, the level of anthropogenic impact, and the integral ecological condition, which allowed for identifying spatial patterns of territorial transformation. A land-use optimization scenario is proposed, aimed at increasing the area of natural land, reducing plowing intensity, and forming an ecological framework. The obtained results can be used to support decision-making in the field of rational land use and to ensure the sustainable development of territorial communities.