Bringing more exploration and interaction to scenario modeling and data visualisation through 3D GIS and Virtual Reality

Chen, Wang; Alessandro, Gimona; David, Miller; Mark, Wilkinson; Paola, Ovando; Bethany, Wilkins; Yang, Jiang

Abstract

A prototype 3D GIS and Virtual Reality model has been developed to present future scenarios of woodland expansion and climate data visualisation. Spatial Multi-criteria Analysis has been applied to decide where to plant new forests, recognizing a range of land-use objectives. 3D responsive pie and bar charts have been created and integrated with the virtual landscape model which is used to convey attractive and understandable information. Findings show it has potential implications for the planning of future woodland and interactive data visualisation to increase the effectiveness of their use and contribution to wider sustainable ecosystems.

Citation

Chen, W., Alessandro, G., David, M., Mark, W., Paola, O., Bethany, W., & Yang, J. (2022, April). Bringing more exploration and interaction to scenario modeling and data visualisation through 3D GIS and Virtual Reality. Presented at 30th Annual Geographical Information Science Research UK (GISRUK), Liverpool, United Kingdom

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 30th Annual Geographical Information Science Research UK (GISRUK)
• Start Date: Apr 5, 2022
• End Date: Apr 8, 2022
• Acceptance Date: Mar 31, 2022
• Online Publication Date: May 3, 2022
• Publication Date: May 3, 2022
• Deposit Date: Nov 8, 2023
• Publicly Available Date: Nov 21, 2023
• Book Title: 30th Annual Geographical Information Science Research UK (GISRUK)
• DOI: https://doi.org/10.5281/zenodo.6514225
• Keywords: Scenario modeling, Data visualisation, Spatial Multi-criteria Analysis, 3D GIS, Virtual Reality
• Public URL: https://hull-repository.worktribe.com/output/4435346