Geographic scenario: a possible foundation for further development of virtual geographic environments

Lv, Guonian; Chen, Min; Yuan, Linwang; Zhou, Liangchen; Wen, Yongning; Wu, Minxian; Hu, Bin; Yu, Zhaoyuan; Yue, Songshan; Sheng, Yehua

doi:10.1080/17538947.2017.1374477

Cited by 61 publications

(24 citation statements)

References 64 publications

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“…There remain three challenges that need further developments. First, more work needs to be done based on GA and geographical scene theory (Lv, Chen, and Yuan et al 2018) by taking into consideration geographical principles and knowledge. The goal is comprehensive modelling and integrated analysis of the six elements of geographic information, including semantics, locations, shapes, and attributes, the relationships among elements and the related evolutionary processes.…”

Section: Discussionmentioning

confidence: 99%

“…In addition to achieving integrated modelling and coupled analysis of multiple geographic data points, the GA-based approach accounts for 3D geometric entities, multidimensional topological networks, objectoriented spatiotemporal trajectories and metric relationships ( Figure 5(c)). Multidimensional geographic analysis method is developed based on the geographic scenes theory (Yuan et al 2014b;Lv, Chen, and Yuan et al 2018). Objects in a scene are dynamically updated based on multivectors with simultaneous update of heterogeneous data in the geographic scenario.…”

Section: Ga-based Analysesmentioning

confidence: 99%

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Towards the next-generation GIS: a geometric algebra approach

Yuan

Luo

2019

Annals of GIS

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Due to the increasing complexity of GIS data and service modes, there is an urgent need for the next generation of GIS with new representation and computation methods. A number of spatiotemporal models, analytical and visualization methods, as well as system architectures have been proposed. However, previous studies failed to integrate basic geographical theories with latest computing technologies. Without a well-defined body of underlying theories, new models and methods are limited in scope and not able to meet the ultimate requirements of the next-generation GIS, which demands multidimensional, highly dynamic and semantic-rich representations and computational power. Geometric algebra (GA) provides an ideal tool for the expression and calculation of multidimensional geometric objects, and has proved to be effective for GIS representation and computation applications in our previous studies. We propose to use GA as the basic mathematical language for the establishment of the next-generation GIS. We present the framework of a GA-based next-generation GIS and describe the representation space, data structure, and computational models in this paper. A few issues that have not been sufficiently addressed by previous studies are discussed in detail with potential solutions proposed. These include multi-scale representations, modelling of geographic processes, simulation of geographic interactions, and multi-element modelling. The GA-based next-generation GIS uses an integrated structure consisting of a theoretical architecture, model for information expression, and computational methods. Implementation of the approach aims to improve GIS capacities in applications such as global spatiotemporal modelling and analysis, regional geographic modelling and simulation, smart city applications, and many others.

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Section: Discussionmentioning

confidence: 99%

Section: Ga-based Analysesmentioning

confidence: 99%

Towards the next-generation GIS: a geometric algebra approach

Yuan

Luo

2019

Annals of GIS

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“…Traditional cartography and GIS are commonly used to express the static information and temporal relationship. The visualization scenario focuses on multilevel and multidimensional information regarding time, location, participants, events, processes, and phenomena, among others [38,63]. The visualization scenario organization in this study was based on two levels: logical modeling and data modeling, as shown in Figure 7.…”

Section: Visualization Scenario Organizationmentioning

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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“…The Open Geographic Modeling and Simulation System (OpenGMS) team has constructed the OpenGMS platform (http://geomodeling.njnu.edu.cn/) to enable the development of solutions for complex geographic problems (Chen, Sheng, Wen, & Su, ; Chen, Sheng, Wen, Tao, & Guo, ; Chen et al, , , ; Lü et al, ; Wen et al, , ; Yue et al, ; S. Yue et al, ). The OpenGMS platform has drafted several standards and specifications (i.e., model‐related metadata and classification) for geo‐analysis model descriptions and aims to make good use of geo‐analysis models, data resources and computing resources that are distributed over the web.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Study on Data Processing Services for the Operation of Geo‐Analysis Models in the Open Web Environment

Wang

Chen

et al. 2018

Earth and Space Science

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With the development of network technology, integrated modeling frameworks based on web services are becoming a key topic with regard to solving complex geographic problems. Currently, large numbers of geo‐analysis models and massive data resources are available on the open web. Accessing, acquiring or invoking individual resources transparently is relatively straightforward; but combining these models and data resources for comprehensive simulations remains challenging due to their heterogeneity and diversity. Data resources are the driving force of model execution and can serve as an intermediate linkage medium for model integration, yet in most cases, the data resources cannot be directly used to drive or link models. Data processing services that can prepare and process data are urgently needed in the web environment to enable the convenient coupling of models and data resources through the web, thus reducing the difficulty of preparing data and avoiding repetitive data processing work. Three types of data processing methods that can achieve mapping, refactoring, and visualization are designed in this article based on the proposed Universal Data eXchange (UDX) model. These methods can be published as data processing services to facilitate the operation of geo‐analysis models through the web environment. The applicability of the proposed data processing services is examined through two cases: the processing service is applied in model integration through the web in the first case, and data preparation with processing services for the Taihu Water Pollution Diffusion Model (TWPDM) is carried out in the second case. The results demonstrate that the proposed processing services can bridge the gap between geo‐analysis models and data resources hosted on networks.

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Geographic scenario: a possible foundation for further development of virtual geographic environments

Cited by 61 publications

References 64 publications

Towards the next-generation GIS: a geometric algebra approach

Towards the next-generation GIS: a geometric algebra approach

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

A Study on Data Processing Services for the Operation of Geo‐Analysis Models in the Open Web Environment

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