EXPLORATORY ANALYSIS OF GEO-LOCATIONAL DATA
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Prof. Suhas Kothavle
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Department of Computer Engineering, Marathwada Mitra Mandal’s Institute of Technology, Pune, India
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Abstract
Geospatial data has emerged as a crucial component in the digital age, encompassing geographic coordinates and location-based information related to people, vehicles, objects, and natural phenomena. Its rapid growth is fuelled by the widespread use of smartphones, GPS, social media, and various location-based applications, leading to a significant shift in how data is applied across industries. As a result, geospatial data has become indispensable in understanding complex spatial relationships, driving development, and fostering transformation in various sectors. This article delves into the multifaceted role of geospatial data in modern society, emphasizing its importance in shaping industries and addressing contemporary challenges. As a fundamental element of the Internet of Things (IoT), geospatial data enables seamless navigation and supports industries in optimizing resource allocation, enhancing decision-making, and improving overall operational efficiency. From monitoring traffic patterns to tracking environmental changes, geospatial data provides real-time insights that empower organizations to respond swiftly and adapt to evolving needs. The report further explores the expanding role of geospatial data in critical domains, including urban planning, transportation, environmental monitoring, marketing, and public safety. In urban planning, it aids in identifying infrastructure needs and optimizing land use, while in transportation, it helps streamline logistics, reduce congestion, and improve route planning. Environmental monitoring benefits from geospatial data through its ability to track climate changes, deforestation, and pollution, providing valuable information for sustainability initiatives. In marketing, businesses leverage geospatial data to understand consumer behavior, target advertisements, and enhance customer experiences. Lastly, in public safety, geospatial data is instrumental in disaster response, crime mapping, and emergency management. In conclusion, geospatial data is a powerful tool driving innovation and efficiency in today’s world. As technology continues to evolve, the applications and importance of geospatial data will only grow, shaping the future of industries and society.
Keywords
Geolocational Analysis Geospatial Data Environmental Monitoring Streamline Logistics Disaster Response Crime Mapping Emergency Management Industries And Society.
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0
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CC BY-NC 4.0
Volume/Issue:
Volume Volume 10, Issue 01
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2
Article Type:
Research Article
Publication Date:
Feb 23 2026
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Vedpathak, S. A. ,. A. R. K. J. S. (2026). Exploratory Analysis of Geo-Locational Data. International Journal of Science, Strategic Management and Technology, Volume 10(01). https://doi.org/10.55041/ijsmt.v2i2.125
Vedpathak, Sanket. "Exploratory Analysis of Geo-Locational Data." International Journal of Science, Strategic Management and Technology, vol. Volume 10, no. 01, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i2.125.
Vedpathak, Sanket. "Exploratory Analysis of Geo-Locational Data." International Journal of Science, Strategic Management and Technology Volume 10, no. 01 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i2.125.
References
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2.Mayra A. Zurbarán; Augusto Salazar; Maria Antonia Brovelli; Pedro M. Wightman “An Evaluation Framework for Assessing the Impact of Location Privacy on Geospatial Analysis”- Date of Publication: 26 August 2020
3.Kuo Zhang; Xiaolong Dong; Di Zhu; Risheng Yun “Estimation and Correction of Geolocation Errors of the CFOSAT Scatterometer Using Coastline Backscatter Coefficients”- Date of Publication: 02 November 2020
4.Gustavo Adulfo López-Ramírez; Alejandro Aragón-Zavala; Cesar Vargas-Rosales “Exploratory Data Analysis for Path Loss Measurements: Unveiling Patterns and Insights Before Machine Learning”-Date of Publication: 29 April 2024
5.Shichang Ding; Xiangyang Luo; Jinwei Wang; Xiaoming Fu “GNN-Geo: A Graph Neural Network-Based Fine-Grained IP Geolocation Framework”- Date of Publication: 13 April 2023
6.\Zhang, Kuo, Xiaolong Dong, Di Zhu, and Risheng Yun. "Estimation and correction of geolocation errors of the CFOSAT scatterometer using coastline backscatter coefficients." IEEE journal of selected topics in applied earth observations and remote sensing 14 (2020): 53-61.
7.Zurbarán, Mayra A., Augusto Salazar, Maria Antonia Brovelli, and Pedro M. Wightman. "An evaluation framework for assessing the impact of location privacy on geospatial analysis." IEEE Access 8 (2020): 158224-158236.
8.Kishan, S. Ravi, Krishna Sahithi Kakunuri, Akshitha Raj Parasa, Vamsipriya Patlolla, and Prathap Gamini. "Exploratory Analysis on Geo-Locational Data." In 2022 International Conference on Automation, Computing and Renewable Systems (ICACRS), pp. 1-4. IEEE, 2022.
9.Vinora, A., S. Afrin, Lavina Roshni Manoj, and A. Alagu Gomathi. "Exploratory Data Analysis of Geolocation Data using Machine Learning." In 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), pp. 19-25. IEEE, 2025.
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