A Study On Big Data and Geo-Informatics: Shaping The Future of Spatial Analysis in Indian Context

• Author(s): Dr. Balakullayappa Madar
• Paper ID: 1702502
• Page: 181-193
• Published Date: 31-10-2020
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 4 Issue 4 October-2020

Abstract

This conceptual study explores the transformative intersection of Big Data and Geo-Informatics within the Indian context, focusing on their theoretical underpinnings and potential impact on spatial analysis, wherein the proliferation of Big Data characterized by its high velocity, volume, and variety converges with Geo-Informatics, defined by its ability to collect, process, and analyze spatially-referenced data, to offer novel solutions for challenges in urban planning, environmental sustainability, resource management, and disaster resilience, while simultaneously addressing critical barriers such as data standardization, infrastructure inadequacies, privacy concerns, and the need for scalable analytical frameworks, thereby fostering innovative practices that integrate real-time analytics, machine learning, and geospatial modeling to develop dynamic, data-driven applications tailored to India's unique socio-economic and ecological landscapes, which are marked by rapid urbanization, population density, resource constraints, and vulnerability to natural disasters, with this integration demonstrating the potential to refine disaster early warning systems, optimize urban land use, enhance rural resource allocation, and facilitate sustainable development strategies, yet the challenges posed by fragmented governance frameworks, inadequate skill development, and the digital divide demand a cohesive, interdisciplinary policy approach that includes the establishment of national data standards, investment in resilient infrastructure, and capacity-building initiatives to bridge the gap between technical possibilities and practical implementation, ultimately contributing to the global discourse on harnessing data science and spatial technologies for public good, and this theoretical framework asserts the importance of fostering collaboration among academic institutions, industry stakeholders, and government agencies to drive innovation in spatial data applications and address India's complex socio-economic challenges in ways that are scalable, equitable, and environmentally sustainable, emphasizing the need for a robust ethical foundation and forward-looking regulatory mechanisms to ensure that technological advancements in Big Data and Geo-Informatics not only enhance analytical precision and decision-making capacity but also safeguard individual privacy and promote inclusive growth, with future research directions identified to include examining the scalability of Geo-Informatics applications in high-density urban centers, exploring the integration of indigenous knowledge with advanced spatial technologies, and analyzing the long-term impacts of spatially-driven policy interventions on India's economic and ecological resilience, thereby solidifying the role of Big Data and Geo-Informatics as central to the future of spatial sciences and sustainable development in India.

Keywords

Big Data, Geo-Informatics, Spatial Analysis, Urban Planning, Disaster Resilience, Sustainable Development

Citations

IRE Journals:
Dr. Balakullayappa Madar "A Study On Big Data and Geo-Informatics: Shaping The Future of Spatial Analysis in Indian Context" Iconic Research And Engineering Journals Volume 4 Issue 4 2020 Page 181-193

IEEE:
Dr. Balakullayappa Madar "A Study On Big Data and Geo-Informatics: Shaping The Future of Spatial Analysis in Indian Context" Iconic Research And Engineering Journals, 4(4)