New Paradigm of Geographic Information Systems Research

被引：0
作者：
Hua Y. [1 ]
Zhao X. [1 ]
Zhang J. [1 ]
机构：
[1] Institute of Geographic Space Information, PLA Strategic Support Force Information Engineering University, Zhengzhou
来源：
Journal of Geo-Information Science | 2023年 / 25卷 / 01期
关键词：
digital world; geographic information system; pan-spatial information system; research paradigm; spatio-temporal entity; spatio-temporal information; spatio-temporal object;
D O I：
10.12082/dqxxkx.2023.220300
中图分类号：
学科分类号：
摘要：
In the era of big data, the spatio-temporal category, information content, and application scenarios of Geographic Information Systems(GIS) have expanded unprecedentedly. GIS needs to transform from the passive adaptation mode of exception processing into an active kernel-supported mode, forming a new generation of spatio-temporal information system. Given that the essence of GIS is an information system with cartographic data model as the core, this paper summarizes the research paradigm of GIS from three aspects: research objects, basic principles, and technical methods, and analyzes the new requirements of spatio-temporal information expansion on the GIS research paradigm. Secondly, by analyzing the cognitive model of Pan-Spatial Information System (PSIS) and the multi-granularity spatio-temporal object data model, the theoretical and technical routes of the PSIS based on spatio-temporal entities are concluded, and its practice and application in many fields are summarized. Then, it systematically analyzes the specific extension mode of PSIS in GIS research object, basic principles, and technical methods, respectively, and proposes the PSIS research paradigm. Finally, this paper summarizes the basic content of the PSIS research paradigm, compares the core content with the GIS research paradigm, and looks forward to the impacts and changes that the advanced research paradigm of GIS would bring. © 2023 Journal of Geo-Information Science. All rights reserved.
引用
收藏
页码：15 / 24
页数：9
相关论文
共 45 条
[1]  
Zhou C H., Prospects on pan-spatial information system, Progress in Geography, 34, 2, pp. 129-131, (2015)
[2]  
Li L N, Goodchild M F, Xu B., Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr[J], Cartography and Geographic Information Science, 40, 2, pp. 61-77, (2013)
[3]  
Wang S W, Anselin L, Bhaduri B, Et al., CyberGIS software: A synthetic review and integration roadmap[J], International Journal of Geographical Information Science, 27, 11, pp. 2122-2145, (2013)
[4]  
Liu H, Xue M., Exploring the use of virtual geographic environments for geo-spatial cognition research[J], National Remote Sensing Bulletin, 25, 10, pp. 2027-2039, (2021)
[5]  
Wan G, Wu Y T., On the mathematical basis of map spatial cognition[J], Acta Geodaetica et Cartographica Sinica, 50, 6, pp. 726-738, (2021)
[6]  
Li W W, Batty M, Goodchild M F., Real-time GIS for smart cities[J], International Journal of Geographical Information Science, 34, 2, pp. 311-324, (2020)
[7]  
Usmani R S A, Hashem I A T, Pillai T R, Et al., Geographic information system and big spatial data: A review and challenges[J], International Journal of Enterprise Information Systems, 16, 4, pp. 101-145, (2020)
[8]  
Elwood S, Goodchild M F, Sui D Z., Researching volunteered geographic information: Spatial data, geographic research, and new social practice[J], Annals of the Association of American Geographers, 102, 3, pp. 571-590, (2012)
[9]  
Senaratne H, Mobasheri A, Ali A L, Et al., A review of volunteered geographic information quality assessment methods[J], International Journal of Geographical Information Science, 31, 1, pp. 139-167, (2017)
[10]  
Lu F, Zhang H C., Big data and generalized GIS[J], Geomatics and Information Science of Wuhan University, 39, 6, pp. 645-654, (2014)
12345