{"id":12965,"date":"2026-10-09T14:37:20","date_gmt":"2026-10-09T06:37:20","guid":{"rendered":"\/jase\/?post_type=tkuisotope&p=12965"},"modified":"2026-10-09T22:09:40","modified_gmt":"2026-10-09T14:09:40","slug":"jase-202701-36-025","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=jase-202701-36-025","title":{"rendered":"GIS-integrated virtual reality\/augmented display interactive navigation system for rural cultural heritage"},"content":{"rendered":"\n
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<\/i> 2027<\/a><\/p>\n<\/div>\n\n\n\n

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<\/i> Volume 36<\/a><\/p>\n<\/div>\n\n\n\n

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Menglong Wu and Xiaojun Jiao<\/i><\/a><\/p>\n\n\n\n

School of Fine Arts, Bozhou University, Bozhou, Anhui 236800, China<\/p>\n<\/div>\n\n\n\n

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Received: June 23, 2026
Accepted: August 29, 2026
Publication Date: October 09, 2026<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Proposed GIS-based workflow for immersive VRAR terrain visualization <\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/i> Copyright <\/strong>The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)<\/a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.<\/p>\n\n\n\n

Download Citation: BibTeX <\/a>| http:\/\/dx.doi.org\/10.6180\/jase.202701_36.025<\/a> <\/p>\n\n\n\n

Download PDF<\/a><\/p>\n\n\n\n

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Cultural heritage visualisation and interactive exploration have been greatly improved by recent developments in Geographic Information Systems (GIS), Three-Dimensional (3D) digitisation, and immersive technologies like Virtual Reality (VR) and Augmented Reality (AR). However, managing large geographic data in real time while achieving accurate landscape representation poses a significant challenge. This paper proposes a GIS-based VR\/AR interactive navigation system for rural cultural heritage sites that effectively manages large geospatial data and provides precise and immersive 3D visualizations[cite: 102]. The proposed system utilizes preprocessed data from OpenStreetMap and QGIS to divide the data into tiles of 30 km \u00d7 30 km. A weighted ensemble machine learning (EML) architecture combining Random Forest, Gradient Boosting Regressor, and Extra Trees Regressor is used to generate precise Digital Elevation Models (DEMs), which are then converted to 3D meshes and textured. The generated 3D tiles are enhanced through layer blending and subsequently integrated into a game engine to enable an immersive VR\/AR visualization experience. The system performance is also optimized by achieving higher frame rates (from 48 to 65 FPS), reduced data processing time (from 30 to 22 seconds), and increased accuracy in terrain data (from 2.2 to 1.6 meters). The experimental results demonstrate that the proposed framework provides a reliable and scalable solution for immersive rural cultural heritage visualization. This framework also offers a practical methodology for linking GIS, ML, and 3DV technologies to create immersive and engaging heritage experiences.<\/p>\n\n\n\n

Keywords: Augmented reality, Digital Elevation Modelling, Ensemble Machine Learning, Geographic Information System and Virtual Reality<\/em><\/p>\n\n\n\n

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