Managing and sharing geographic knowledge in virtual geographic environments (VGEs)

Lin, Hui; Chen, Min

doi:10.1080/19475683.2015.1099568

Cited by 33 publications

(18 citation statements)

References 17 publications

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“…Geographical analysis models are the result of geographic modeling and are used for geographical analysis (Lu, ; Wen et al, ; Yue, Chen, Wen, & Lu, ). They are abstractions of geographic phenomena in the real world, and they have also been regarded as a representation of theoretical and practical geographic knowledge in an easy‐to‐use way (Lin & Chen, ; Perry, ; Lin et al, ; You & Lin, ).…”

Section: Introductionmentioning

confidence: 99%

Developing a data model for understanding geographical analysis models with consideration of their evolution and application processes

Chen

Yang

Hou

et al. 2018

Transactions in GIS

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Geographical analysis models are widely employed to mirror real phenomena and processes on Earth. The current geographical analysis models can provide prediction and decision support-oriented information in various domains through analysis and simulation results. However, the complexity of models is increasing due to their continuous development and related research, and the relationships between models are becoming increasingly complicated, which severely hinders the ability to select and use suitable models.To bridge the requirements of model understanding with related abundant information, a data model for geographical analysis models is designed with consideration of their evolution and application processes. In addition to basic metadata (e.g., name, classification, and modeling approach), evolution and application information, which is often neglected in traditional model expression methods, can provide clues about model development histories and usage relationships. Thus, this information will provide scientists with a comprehensive understanding and will form an overall picture of geographic models that can be used for future research. Based on the analysis of the elements related to the evolution and application information, the data model is | 1499 CHEN et al.

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Section: Introductionmentioning

confidence: 99%

Developing a data model for understanding geographical analysis models with consideration of their evolution and application processes

Chen

Yang

Hou

et al. 2018

Transactions in GIS

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“…Therefore, in this study, a digital simulation system called Sino-Mars was developed for the virtual visualization of space from Earth to Mars. It can be regarded as the distillation of virtual geographical environments (VGEs) Lin and Chen, 2015;Lin et al, 2013;Lü, 2011) and will be helpful for the improvement of public Mars cognition. What is more, the simulation for the whole process of Mars exploration and the access and analysis of geological information can be supported with the help of this system.…”

Section: Introductionmentioning

confidence: 99%

Research on the Digital Simulation for the Whole Process of Mars Exploration

Lyu¹,

Xu²,

Zhou³

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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China has paid considerable attention to space exploration and made great strides in the field. The first Chinese Mars Exploration Mission will be carried out in 2020. Digital simulation has been proved to be an effective and efficient means for planning and deduction in many fields. Thus, it was introduced for the Mars exploration in this paper and key technologies was researched above three aspects. First of all, complicated time-space benchmark was combed to support the interplanetary simulation. Secondly, the multi-resolution pyramid model and indexing strategy were adopted to preprocess the geographical environment data, which ensured the efficiency of data loading, browsing, and querying. Then, the activity objects were abstracted and modelled based on four aspects, including property, ephemeris, geometry, and behavior. Therefore, a digital simulation system, called Sino-Mars, was developed. The architecture of Sino-Mars consists of five layers, including data collection, data processing, scenario modelling, visualization and application layer. Using the Chinese Mars Exploration Mission slated for 2020 as an example, we demonstrated the capabilities of Sino-Mars for data integration, visualization, process deduction, and auxiliary analysis.

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“…In addition, these platforms require professional knowledge to operate, and would not be widely accepted by the general public such as the case of Google Earth [31]. The virtual geographic environments (VGEs) aim to provide integrated tools to understand the world better and have been widely used in multiple fields, such as air pollution experiments, silt dam planning, and group behavior simulation [8,[32][33][34][35][36][37][38][39]. In fact, VSEs can be regarded as the extension of VGEs in the field of outer space, and some ideas derived from VGEs can also be used for reference.A digital simulation platform called Sino-InSpace was developed for the abstract representations, visualizations with multiple viewpoints, and analytical understanding of VSEs from Earth to the outer planets.…”

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confidence: 99%

Sino-InSpace: A Digital Simulation Platform for Virtual Space Environments

Lyu

Lan

et al. 2018

IJGI

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The implementation of increased space exploration missions reduces the distance between human beings and outer space. Although it is impossible for everyone to enter the remote outer space, virtual environments could provide computer-based digital spaces that we can observe, participate in, and experience. In this study, Sino-InSpace, a digital simulation platform, was developed to support the construction of virtual space environments. The input data are divided into two types, the environment element and the entity object, that are then supported by the unified time-space datum. The platform adopted the pyramid model and octree index to preprocess the geographic and space environment data, which ensured the efficiency of data loading and browsing. To describe objects perfectly, they were abstracted and modeled based on four aspects including attributes, ephemeris, geometry, and behavior. Then, the platform performed the organization of a visual scenario based on logical modeling and data modeling; in addition, it ensured smooth and flexible visual scenario displays using efficient data and rendering engines. Multilevel modes (application directly, visualization development, and scientific analysis) were designed to support multilevel applications for users from different grades and fields. Each mode provided representative case studies, which also demonstrated the capabilities of the platform for data integration, visualization, process deduction, and auxiliary analysis. Finally, a user study with human participants was conducted from multiple views (usability, user acceptance, presence, and software design). The results indicate that Sino-InSpace performs well in simulation for virtual space environments, while a virtual reality setup is beneficial for promoting the experience.deep space exploration is also noteworthy [3]. The Chang'E lunar exploration program, which involves achieving lunar orbit, soft-landing on the moon, and returning a lunar sample has now entered its third stage [4]. The first Chinese Mars exploration mission has also been formally approved, and a Mars probe is planned for launch in the second half of 2020. With the possible opportunities and new avenues that space exploration promises, especially considering the problems of environmental pollution and resource depletion, many countries have set up ambitious space programs [5][6][7]. For human beings, outer space is a relatively "new world" and difficult to reach currently. However, virtual environments, initially viewed as "mirror worlds", can supply computer-based digital spaces that we observe, participate in, and experience in person [8]. With the increasing scope and scale of human space activities, it is essential to construct a digital simulation platform for virtual space environments (VSEs).The traditional geographical information disciplines primarily study the Earth's surface including commercial (e.g., ArcGIS, MapInfo, and SuperMap) or open source geographic information system (GIS) platforms [9]; these platforms focus on pro...

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Managing and sharing geographic knowledge in virtual geographic environments (VGEs)

Cited by 33 publications

References 17 publications

Developing a data model for understanding geographical analysis models with consideration of their evolution and application processes

Developing a data model for understanding geographical analysis models with consideration of their evolution and application processes

Research on the Digital Simulation for the Whole Process of Mars Exploration

Sino-InSpace: A Digital Simulation Platform for Virtual Space Environments

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