Graph theory applications for advanced geospatial modelling and decision-making

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cg.contributor.affiliationInternational Water Management Instituteen_US
cg.contributor.affiliationTechno Main Salt Lake, Kolkata, West Bengal, Indiaen_US
cg.contributor.affiliationBirla Institute of Technologyen_US
cg.contributor.affiliationNational Institute of Technology Durgapuren_US
cg.contributor.affiliationAberystwyth Universityen_US
cg.contributor.affiliationIndian Institute Technologyen_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.initiativeDigital Innovationen_US
cg.creator.identifierSurajit Ghosh: 0000-0002-3928-2135en_US
cg.identifier.doihttps://doi.org/10.1007/s12518-024-00586-3en_US
cg.identifier.iwmilibraryH053196en_US
cg.identifier.projectIWMI - C-0016en_US
cg.isijournalISI Journalen_US
cg.issn1866-928Xen_US
cg.issue4en_US
cg.journalApplied Geomaticsen_US
cg.reviewStatusPeer Reviewen_US
cg.volume16en_US
dc.contributor.authorGhosh, Surajiten_US
dc.contributor.authorMallick, A.en_US
dc.contributor.authorChowdhury, A.en_US
dc.contributor.authorDe Sarkar, K.en_US
dc.contributor.authorMukherjee, J.en_US
dc.date.accessioned2024-10-31T21:25:11Zen_US
dc.date.available2024-10-31T21:25:11Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/158366en_US
dc.titleGraph theory applications for advanced geospatial modelling and decision-makingen_US
dcterms.abstractGeospatial 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.en_US
dcterms.accessRightsLimited Accessen_US
dcterms.available2024-09-25en_US
dcterms.bibliographicCitationGhosh, Surajit; Mallick, A.; Chowdhury, A.; De Sarkar, K.; Mukherjee, J. 2024. Graph theory applications for advanced geospatial modelling and decision-making. Applied Geomatics, 16(4):799-812. [doi: https://doi.org/10.1007/s12518-024-00586-3]en_US
dcterms.extent16(4):799-812.en_US
dcterms.issued2024-12en_US
dcterms.languageenen_US
dcterms.licenseCopyrighted; all rights reserveden_US
dcterms.publisherSpringeren_US
dcterms.subjectspatial dataen_US
dcterms.subjectmodellingen_US
dcterms.subjectdecision makingen_US
dcterms.subjectalgorithmsen_US
dcterms.subjectgeographical information systemsen_US
dcterms.subjectsustainable development goalsen_US
dcterms.subjecturban planningen_US
dcterms.subjectrural planningen_US
dcterms.subjectenvironmental managementen_US
dcterms.subjectcase studiesen_US
dcterms.typeJournal Articleen_US

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