Exploration of Intelligent Geographic Information System Development in Big Data Era
DOI:
https://doi.org/10.71222/0fezeb05Keywords:
big data, intelligent geographic information system, system development, artificial intelligence, data miningAbstract
With the advent of the big data era, the field of geographic information systems (GIS) has ushered in new opportunities and challenges. An intelligent GIS framework should be built to match the characteristics of big data, covering the collection of diverse geographic information, storage of large-scale geographic data, data preprocessing, supply of service ports following common protocols, and development of customized application software for various industries. Research has shown that big data and GIS technology can enhance the processing speed of geographic information and the efficiency of information services, promote the in-depth application of GIS in smart city construction, disaster warning, and resource optimization, and contribute to the sustainable and balanced development of the social economy.
References
1. C. Liang, X. Wang, D. Gu, P. Li, H. Chen, and Z. Xu, "Smart management information systems (Smis): concept, evolution, research hotspots and applications," Data Intell., vol. 5, no. 4, pp. 857–884, 2023, doi: 10.1162/dint_a_00231.
2. P. Emami and A. Marzban, "The synergy of artificial intelligence (AI) and geographic information systems (GIS) for enhanced disaster management: opportunities and challenges," Disaster Med. Public Health Prep., vol. 17, p. e507, 2023, doi: 10.1017/dmp.2023.174.
3. A. Chaiprasert, N. Taweekarn, and J. Chongwatpol, "Applications of a geographic information system–based business in-telligence system for decision making at Coffee Refresh," J. Inf. Technol. Teach. Cases, vol. 13, no. 1, pp. 16–29, 2023, doi: 10.1177/20438869211040514.
4. V. Lytvyn, O. Lozynska, D. Uhryn, M. Vovk, Y. Ushenko, and Z. Hu, "Information technologies for decision support in industry-specific geographic information systems based on swarm intelligence," Int. J. Mod. Educ. Comput. Sci., vol. 15, no. 2, pp. 62–69, 2023, doi: 10.5815/ijmecs.2023.02.06.
5. B. Wu, X. Lv, A. Alghamdi, H. Abosaq, and M. Alrizq, "Advancement of management information system for discovering fraud in master card based intelligent supervised machine learning and deep learning during SARS-CoV2," Inf. Process. Manag., vol. 60, no. 2, p. 103231, 2023, doi: 10.1016/j.ipm.2022.103231.
6. P. Zhang, C. Lv, Q. Li, B. Cong, and J. Liu, "Research on intelligent platform construction and pavement management of expressway operation and maintenance based on BIM+ GIS technology," J. Cases Inf. Technol., vol. 26, no. 1, pp. 1–19, 2024, doi: 10.4018/JCIT.332879.
7. M. M. Abd-AlHai, S. A. S. Araffa, M. M. Mekkawi, and A. A. M. ElGalladi, "A reconnaissance study for tracing and ordering new mineralisation zones using integrated remote sensing, GIS, and aeromagnetic techniques, west Allaqi-Heiani-Suture, Egypt," NRIAG J. Astron. Geophys., vol. 12, no. 1, pp. 19–44, 2023, doi: 10.1080/20909977.2022.2156068.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Junyu Chen (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
