предыдущий|следующий

Exploring the use of virtual geographic environments for geo-spatial cognition research

  • role： First author第一作者
  • Affiliation：

    Chongqing Survey Institute, Chongqing 401121, China

    Chongqing Engineering Research Center of Spatiotemporal Big Data in Smart City, Chongqing 401121, China

    Smart City Space (CIM+) Technology Innovation Center, Chongqing 401121, China

  • Email：379337648@qq.com
  • Introduction：刘浩，1985年生，男，副研究员，研究方向为遥感应用、虚拟地理环境、地理知识工程等理论和应用。E-mail： 379337648@qq.com
LIU Hao,  
  • Affiliation：

    Chongqing Survey Institute, Chongqing 401121, China

    Chongqing Engineering Research Center of Spatiotemporal Big Data in Smart City, Chongqing 401121, China

    Smart City Space (CIM+) Technology Innovation Center, Chongqing 401121, China

XUE Mei

реферат

Geo-spatial cognition is an important method for humans to acquire geospatial knowledge and recognize geographical environment. For a long time, people carried out geo-spatial cognition based on maps and GIS, but it has been proven difficult due to the disadvantages of maps and GIS on geospatial expression, understanding of geographical process, and human-computer interaction. With the development of Virtual Geographic Environments (VGEs), people realize that VGEs have become important new tools for geo-spatial cognition because they are in accordance with the cognition habits in actual living. As an important new direction of geographic information science, VGE-based geo-spatial cognition has been extensively studied in recent years. However, in general, existing studies are still at the primary stage; they mostly focus on the concept, cognitive characteristics, and the preliminary framework. However, studies on the connotation and relevant technical methods are few.In accordance with the solution of the six classical geographical questions, the basic contents of VGE-based geo-spatial cognition from the three levels of geographical ontology cognition, geographical process cognition, and geographical behavior cognition are elaborated. Among them, the geographical ontology cognition solves the questions of “what, where, when, and their relationship.” Geographical process cognition solves the questions of “why is it there, how does it form, and how will it develops.” Geographic behavioral cognition solves the questions of “what’s the effect, what role does it play, and how it can be used.” Then, the relevant technical methods are discussed to realize VGE-based geo-spatial cognition, including urban spatial representation and urban computing, multimode human–computer interaction, geographical knowledge graph and spatial reasoning, geographical process simulation, geographical behavior pattern recognition, and emotional computing. Finally, a case study of Chongqing based on the overall framework and technical system is conducted.On the basis of “Chongqing 3D Space Digital Platform,” the corresponding practical results are presented from three levels of geographical ontology cognition, geographical process cognition, and geographical behavior cognition, displaying the use of relevant technical methods to recognize geographical environment and geospatial objects. Most existing studies focus on preliminary stages, such as the concept, research framework, expression of spatial objects, and geographical knowledge in the virtual environment. On the contrary, further exploration is conducted, thereby obtaining the actual cognitive results through the application of relevant technologies.Under the support of overall framework and technical system, the realization approach and the practice results of geographical ontology cognition, geographical process cognition, and geographical behavior cognition are presented. This approach provides new ideas and solution for in-depth development and technical implementation of VGE- based geo-spatial cognition, and transforms the research from the conceptual discussion stage to the technical practice stage.

ключеви́че слова́

virtual geographic environments;geo-spatial cognition;cognition contents;cognition techniques;structured semantic modeling;urban computing;geographic knowledge graph;behavior pattern recognition

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