Virtual Reality (VR) is becoming an increasingly important tool for visualization and interaction with spatial data. It enables a deeper understanding of complex information and opens new possibilities of use in geodesy, architecture, construction, and spatial planning. This thesis presents existing software and hardware solutions that support working with spatial data in VR, along with their advantages and limitations. The theoretical part first discusses spatial data, the concept and development of VR, and the significance of data visualization in virtual environments. This is followed by a review of selected programs for integrating GIS, BIM, and CAD data into VR, tools for point cloud visualization, and the most used hardware. Special attention is given to interaction techniques that allow users to efficiently navigate, select, and manipulate objects in virtual space. The practical part of the thesis includes testing the Enscape plug-in in connection with SketchUp and Revit software, as well as a comparison of visualizations across different data formats (Skp, Dwg, Dxf, Stl). The results showed that the quality of visualization, performance smoothness, and user experience varied significantly between formats. The best results were achieved when using the SKP format in SketchUp, while other formats often caused visual errors and reduced stability. The findings confirm that VR has great potential for spatial data visualization; however, achieving high-quality results requires selecting an appropriate combination of software, data format, and VR hardware.
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