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Data · dataset · 2023

Exploring the Potential of 3D Game Engines for Precise and Detailed Geo-Visualization in Forestry Education

Listed in Borealis

In response to the growing concern in geographic information science, which pertains to utilizing contemporary internet technology to communicate past information or knowledge for establishing foundations in geography.

Description

Recent studies have investigated geomatics solutions for historical city, and enhancing GIS skills through collaborative approach. In this study, we build upon prior research by exploring how the implementation of current technology can promote a cooperative learning environment, particularly within the realm of forestry education.

Minetest, the 3D voxel game engine has high capability of modification, for visualizing natural environments and urban structures. The goal of this study was to investigate the potential of using the game engine for forestry education purposes. To meet this objective, we developed precise and detailed models of building structures and their surrounding environment.

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We also explored the visualization beyond 3D geospatial data, by generating analytical results of solar radiation on building roofs using GIS software. The visualization process was facilitated by the use of 3D light detection and ranging (LiDAR) data, provided by the UBC Campus + Community Planning department. The proposed approach proved to be effective in producing compatible geospatial data for visualization in the game engine.

We also conducted exploratory statistical analysis to examine the relationship between building energy usage and solar radiation. The exploratory regression result of the solar radiation analysis has an R2adj of 0.19, which indicates its insignificant impact on building energy usage. Finally, the findings of this research provide a foundation for future studies that can continue to explore the potential of using 3D game engines.

Keywords: 3D Geo-Visualization, Forestry Education, Remote Sensing, Light Detection and Ranging (LiDAR), Building Energy Usage, Solar Radiation Analysis

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Catalogue records · 1

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Provenance · 1 source records, 14 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/FW6IR910 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:401304mapping · borealisdata cavocabulary-mapper@1.0.0keywords['Remote Sensing']
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].dataverse_subject:othersource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:energymapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[modality].local:modality:remote-sensingmapping · borealisdata cavocabulary-mapper@1.0.0keywords['Remote Sensing']
created_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
titlesource · borealisdata caconnector:borealisdata_ca@1.0.0/name
updated_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
version_labelsource · borealisdata caconnector:borealisdata_ca@1.0.0