THE SYNERGY OF GIS AND SMART TECHNOLOGIES: REVOLUTIONIZING SPATIAL INTELLIGENCE
Keywords:
Geographic Information Systems (GIS), Internet Of Things (IoT), Artificial Intelligence, Big Data Analytics, Smart CitiesAbstract
Integrating Geographic Information Systems (GIS) with smart technologies revolutionizes spatial intelligence across various sectors. This article explores the synergistic convergence of GIS with the Internet of Things (IoT), Artificial Intelligence (AI), and Big Data, examining their collective impact on urban planning, environmental conservation, public health, and disaster management. Through case studies such as Singapore's smart traffic management system and the Global Land Analysis and Discovery (GLAD) system for deforestation detection, we demonstrate the transformative potential of these integrated technologies. The article also discusses future developments, including enhanced real-time analytics through edge computing, advanced predictive models utilizing quantum computing, and seamless integration with AR/VR interfaces. By highlighting both the current applications and future possibilities, this research underscores the critical role of GIS and smart technology integration in shaping more efficient, sustainable, and responsive systems across society.
References
M. F. Goodchild, "Geographic information systems and science: today and tomorrow," Annals of GIS, vol. 15, no. 1, pp. 3-9, 2009. https://www.sciencedirect.com/science/article/pii/S1878522009001611
H. Chourabi et al., "Understanding Smart Cities: An Integrative Framework," in 2012 45th Hawaii International Conference on System Sciences, 2012, pp. 2289-2297. https://ieeexplore.ieee.org/document/6149291
J. A. Castanedo, "A Review of Data Fusion Techniques," The Scientific World Journal, vol. 2013, pp. 1-19, 2013. https://onlinelibrary.wiley.com/doi/10.1155/2013/704504?msockid=228aad31782d6ce406e9b9de79c56d17
L. Atzori, A. Iera, and G. Morabito, "The Internet of Things: A survey," Computer Networks, vol. 54, no. 15, pp. 2787-2805, 2010. https://www.sciencedirect.com/science/article/abs/pii/S1389128610001568
T. Kh. Chan, C. S. Chin, and X. Chen, "Urban Traffic Flow Analysis Based on Deep Learning Car Detection from CCTV Image Series," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 3, pp. 1423-1434, 2021. https://isprs-archives.copernicus.org/articles/XLII-4/499/2018/isprs-archives-XLII-4-499-2018.pdf
Y. Liu et al., "Artificial Intelligence in the 21st Century," IEEE Access, vol. 6, pp. 34403-34421, 2018. https://www.researchgate.net/publication/324023933_Artificial_Intelligence_in_the_21st_Century
M. C. Hansen et al., "High-Resolution Global Maps of 21st-Century Forest Cover Change," Science, vol. 342, no. 6160, pp. 850-853, 2013. https://www.science.org/doi/10.1126/science.1244693
E. Dong, H. Du, and L. Gardner, "An interactive web-based dashboard to track COVID-19 in real time," The Lancet Infectious Diseases, vol. 20, no. 5, pp. 533-534, 2020. https://www.thelancet.com/journals/laninf/article/PIIS1473-3099(20)30120-1/fulltext
W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu, "Edge Computing: Vision and Challenges," IEEE Internet of Things Journal, vol. 3, no. 5, pp. 637-646, 2016. https://ieeexplore.ieee.org/abstract/document/7488250
