The paper presents a holistic and quantitative model of social gamification in a smart city, which is likely to stimulate the photovoltaic panels installation. The coupling of multi-agent systems, GIS tools, demographic data, and a spatial knowledge base made it possible to develop and calibrate a computable model of social interaction in a “model smart city,” as well as to quantitatively evaluate the deployment of photovoltaic panels. It also enabled the analysis of factors affecting the efficiency of this process, e.g., the photovoltaic potential of solar roofs, the ownership of buildings, the type of building development, the level of social trust, institutional and social incentives, and the development of an information society. The devised model is tested on the city of Warsaw, utilizing spatial and descriptive data provided by city authorities.

The paper argues that gamification, fuzzy control and the use of augmented reality can solve many problems encountered by local and central authorities in managing the process of spatial planning. Good communication with citizens is one of the factors contributing to the success of public participation in solving spatial planning problems. To help to achieve this goal, the concept of a game using augmented reality and fuzzy two-phase control system was constructed. The authors define the psychological conditions of the players in that game using Bauman's 4 types of postmodern society, Bartle and Markowski's 8 types of players, and Dieci and Ryan's self-determination theory. The authors present a model of the conditions which need to be satisfied to achieve the goal of maximizing the effectiveness of the communication between authorities and citizens in the process of fuzzy participation.

To balance interests among local communities and increase awareness of the need to protect the environment, landscape and spatial order, there is a need for active participation, cooperation and mutual learning of participants in the planning process, including urban planners, specialists from other disciplines (among others, ecologists, landscape architects and surveyors), local authorities and residents. This article presents the problems associated with housing development in suburban areas within the context of rules for sustainable development, and spatial and social justice. It presents an assessment of the spatial configuration of plots and the possibilities for development and management of these in the selected communes located in suburban area of Warsaw, the capital city of Poland. A methodology was developed for the preparation of planning documents in the commune, allowing the minimization of the problem of spatial injustice resulting from the flawed structure of registered plots.

This paper proposes a methodology for numerical modeling of terraforming Mars’ atmosphere using high-energy asteroid impact and greenhouse gas production processes. The developed simulation model uses a spatial data science approach to analyze the Global Climate Model of Mars and cellular automata to model the changes in Mars’ atmospheric parameters. The developed model allows estimating the energy required to raise the planet’s temperature by sixty degrees using different variations of the terraforming process. Using a data science approach for spatial big data analysis has enabled successful numerical simulations of global and local atmospheric changes on Mars and an analysis of the energy potential required for this process.

Aim - to present the current level of information support for agricultural land use, problems and propose ways to solve them based on the use of digital technologies. Methods - monographic in order to study foreign experience, digital innovations in agricultural production, analytical - when analyzing the state of land assets and availability of unused agricultural land, statistical - for collecting and processing information in the context of research objects, cartographic - when considering land ownership schemes, monitoring and detecting negative changes, as well as developing predictive solutions to eliminate them. Results - the practice of foreign countries in using digital infrastructure in the process of forming land resources has proven the need for their use in the republic to build a model of sustainable development of rural areas. It has been determined that digitalization plays a key role in modern land management. The data content in information systems has been analyzed. It was revealed that from 2018-2021 about 208 billion tenge was allocated for digital transformation, however, despite costs, effectiveness of this program was low. It is noted that the volume of provision of electronic public services in the online format has been brought to 90% (with a plan of 60%). The advantages and potential opportunities for introduction of geoinformation technologies in digital land use are justified. The main barrier to digital modernization of agriculture remains the poor provision of the Internet in rural areas. Conclusions - agricultural land sector is fully covered by digital updating based on the use of GIS technologies. The stages of creating agricultural map for diagnosing uncultivated land are displayed. However, there are a number of shortcomings in ensuring effective management of the land fund for its rational use.

Urban revitalization processes are increasingly requiring inclusive and data-driven approaches that address spatial inequalities and support the achievement of the Sustainable Development Goals (SDGs). The article presents a methodology for utilizing social geoparticipation tools in the revitalization process of the Warsaw University of Technology campus. The study demonstrates how campus-scale geoparticipation can incorporate SDGs and spatial justice principles in micro-urban contexts, with a methodology that is transferable to city-scale projects and provides practical guidance for inclusive and sustainable urban governance. This enables the transformation of volunteered geographic information (VGI) data and spatial databases into practical spatial knowledge that supports sustainable urban development. Empirical analysis of 710 responses and nearly 1000 mapped locations revealed that 83% of respondents identified insufficient greenery as the primary spatial problem. At the same time, accessibility (β = 0.618) and green infrastructure quality (β = 0.553) were the strongest predictors of the need for change. The collected feedback from the academic community was processed using exploratory data analysis and spatial statistics into a spatial knowledge base. ESRI’s ArcGIS Experience Builder (Developer Edition version 1.16) was employed in the app’s development. A custom function was developed to meet the requirements of the geo-questionnaire fully. The application was ultimately deployed within the CENAGIS domain of the IT infrastructure at Warsaw University of Technology. Authors employed the structural equation modeling (SEM) method and provided statistical analysis of community expectations. The findings provide actionable evidence for urban planners, campus managers, and decision-makers seeking to implement data-driven, participatory revitalization strategies, demonstrating how social geoparticipation can directly inform sustainable design and policy-making at both campus and city levels.