Intelligent Sandbox for Geography Teaching

Authors

Xianli Ji, 1. Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China; ;
Yulong Ding, 1. Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China; ;2. Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, Shenzhen 518055, China; ;3. Department of Mathematics, Southern University of Science and Technology, Shenzhen 518055, China;
Shuanghua Yang, 1. Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China; ;

Abstract

Abstract: An intelligent sandbox geography teaching demonstration system combining the augmented reality technology and related geographic knowledge is designed and implemented on the Unity3D platform. The system has functions of deep data processing, projection matrix transformation, terrain rendering, fluid simulation, physical characteristics, adding entities along the slope, changes in sunshine angle, gesture interaction, etc., which can render virtual terrain and scene in real time according to the change of the sandbox. Students can interact with the system in projection correction, adding entities, seasonal switching, weather effects, disaster simulation and other scenarios and learn knowledge points such as contour lines, terrain topography, and sunshine angle.

Recommended Citation

Ji, Xianli; Ding, Yulong; and Yang, Shuanghua (2019) "Intelligent Sandbox for Geography Teaching," Journal of System Simulation: Vol. 31: Iss. 12, Article 31.
DOI: 10.16182/j.issn1004731x.joss.19-FZ0407
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss12/31

First Page

2816

Revised Date

2019-08-04

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-FZ0407

Last Page

2828

CLC

TP391.9

Recommended Citation

Ji Xianli, Ding Yulong, Yang Shuanghua. Intelligent Sandbox for Geography Teaching[J]. Journal of System Simulation, 2019, 31(12): 2816-2828.

DOI

10.16182/j.issn1004731x.joss.19-FZ0407