Graph theory applications for advanced geospatial modelling and decision-making

IF 2.3 Q2 REMOTE SENSING

Applied Geomatics Pub Date : 2024-09-25 DOI:10.1007/s12518-024-00586-3

Surajit Ghosh, Archita Mallick, Anuva Chowdhury, Kounik De Sarkar, Jayesh Mukherjee

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引用次数: 0

Abstract

Geospatial sciences (GS) include a wide range of applications, from environmental monitoring to infrastructure development, as well as location-based analysis and services. Notably, graph theory algorithms have emerged as indispensable tools in GS because of their capability to model and analyse spatial relationships efficiently. This article underscores the critical role of graph theory applications in addressing real-world geospatial challenges, emphasising their significance and potential for future innovations in advanced spatial analytics, including the digital twin concept. The analysis shows that researchers from 58 countries have contributed to exploring graph theory and its application over 37 years through more than 700 research articles. A comprehensive collection of case studies has been showcased to provide an overview of graph theory’s diverse and impactful applications in advanced geospatial research across various disciplines (transportation, urban planning, environmental management, ecology, disaster studies and many more) and their linkages to the United Nations Sustainable Development Goals (UN SDGs). Thus, the interdisciplinary nature of graph theory can foster an understanding of the association among different scientific domains for sustainable resource management and planning.

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图论在高级地理空间建模和决策中的应用

地理空间科学（GS）包括广泛的应用，从环境监测到基础设施开发，以及基于位置的分析和服务。值得注意的是，图论算法因其高效建模和分析空间关系的能力，已成为地理空间科学中不可或缺的工具。这篇文章强调了图论应用在应对现实世界地理空间挑战中的关键作用，强调了图论在未来高级空间分析（包括数字孪生概念）创新中的意义和潜力。分析表明，37 年来，来自 58 个国家的研究人员通过 700 多篇研究文章为探索图论及其应用做出了贡献。我们还展示了一系列全面的案例研究，以概述图论在不同学科（交通、城市规划、环境管理、生态学、灾害研究等）的高级地理空间研究中的多样化和有影响力的应用，以及它们与联合国可持续发展目标（UN SDGs）的联系。因此，图论的跨学科性质可以促进人们了解不同科学领域之间的关联，从而促进可持续资源管理和规划。

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来源期刊

Applied Geomatics REMOTE SENSING-

CiteScore

5.40

自引率

3.70%

发文量

期刊介绍： Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements