With GeoVisual Analytics to heat conduction planning

Abstract

This article considers the use of GeoVisual Analytics in heat-conduction planning. Planning heat networks requires understanding demand, buildings, infrastructure corridors, land use, and the spatial relationships between potential supply and consumers. Visual analytics can combine data exploration with interactive maps and analytical methods, helping specialists identify patterns, compare alternatives, and communicate planning options. Geospatial analysis may support route assessment, demand estimation, and the evaluation of local constraints. Effective decision support depends on consistent datasets, appropriate analytical assumptions, and visualisations that make results understandable without hiding uncertainty. Bringing spatial analytics into heat planning can improve collaboration between energy planners, engineers, municipal teams, and infrastructure operators. The topic is relevant to district heating, energy transition, urban infrastructure, and data-driven planning. This title-based abstract outlines the likely scope of the article rather than reproducing its published abstract.