Graph theory applications for advanced geospatial modelling and decision-making

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cg.contributor.affiliationInternational Water Management Instituteen
cg.contributor.affiliationTechno Main Salt Lake, Kolkata, West Bengal, Indiaen
cg.contributor.affiliationBirla Institute of Technologyen
cg.contributor.affiliationNational Institute of Technology Durgapuren
cg.contributor.affiliationAberystwyth Universityen
cg.contributor.affiliationIndian Institute Technologyen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeDigital Innovation
cg.creator.identifierSurajit Ghosh: 0000-0002-3928-2135en
cg.identifier.doihttps://doi.org/10.1007/s12518-024-00586-3en
cg.identifier.iwmilibraryH053196en
cg.identifier.projectIWMI - C-0016en
cg.isijournalISI Journalen
cg.issn1866-928Xen
cg.issue4en
cg.journalApplied Geomaticsen
cg.reviewStatusPeer Reviewen
cg.volume16en
dc.contributor.authorGhosh, Surajiten
dc.contributor.authorMallick, A.en
dc.contributor.authorChowdhury, A.en
dc.contributor.authorDe Sarkar, K.en
dc.contributor.authorMukherjee, J.en
dc.date.accessioned2024-10-31T21:25:11Zen
dc.date.available2024-10-31T21:25:11Zen
dc.identifier.urihttps://hdl.handle.net/10568/158366
dc.titleGraph theory applications for advanced geospatial modelling and decision-makingen
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
dcterms.accessRightsLimited Access
dcterms.available2024-09-25en
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
dcterms.extent16(4):799-812.en
dcterms.issued2024-12en
dcterms.languageen
dcterms.licenseCopyrighted; all rights reserved
dcterms.publisherSpringeren
dcterms.subjectspatial dataen
dcterms.subjectmodellingen
dcterms.subjectdecision makingen
dcterms.subjectalgorithmsen
dcterms.subjectgeographical information systemsen
dcterms.subjectsustainable development goalsen
dcterms.subjecturban planningen
dcterms.subjectrural planningen
dcterms.subjectenvironmental managementen
dcterms.subjectcase studiesen
dcterms.typeJournal Article

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