Graph Theory Applications in Advanced Geospatial Research
Geospatial sciences include a wide range of applications, from environmental monitoring transportation to infrastructure planning, as well as location-based analysis and services. Graph theory algorithms in mathematics have emerged as indispensable tools in these domains due to their capability to m...
| Autores principales: | , , , |
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
| Publicado: |
Cornell University
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/137533 |
| _version_ | 1855531089068556288 |
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| author | Ghosh, Surajit Mallick, Archita Chowdhury, Anuva De Sarkar, Kounik |
| author_browse | Chowdhury, Anuva De Sarkar, Kounik Ghosh, Surajit Mallick, Archita |
| author_facet | Ghosh, Surajit Mallick, Archita Chowdhury, Anuva De Sarkar, Kounik |
| author_sort | Ghosh, Surajit |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Geospatial sciences include a wide range of applications, from environmental monitoring transportation to infrastructure planning, as well as location-based analysis and services. Graph theory algorithms in mathematics have emerged as indispensable tools in these domains due to their capability to model and analyse spatial relationships efficiently. This article explores the applications of graph theory algorithms in geospatial sciences, highlighting their role in network analysis, spatial connectivity, geographic information systems, and various other spatial problem-solving scenarios like digital twin. The article provides a comprehensive idea about graph theory's key concepts and algorithms that assist the geospatial modelling processes and insights into real-world geospatial challenges and opportunities. It lists the extensive research, innovative technologies and methodologies implemented in this domain. |
| format | Artículo preliminar |
| id | CGSpace137533 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Cornell University |
| publisherStr | Cornell University |
| record_format | dspace |
| spelling | CGSpace1375332024-10-18T13:00:54Z Graph Theory Applications in Advanced Geospatial Research Ghosh, Surajit Mallick, Archita Chowdhury, Anuva De Sarkar, Kounik spatial data network analysis geographical information systems Geospatial sciences include a wide range of applications, from environmental monitoring transportation to infrastructure planning, as well as location-based analysis and services. Graph theory algorithms in mathematics have emerged as indispensable tools in these domains due to their capability to model and analyse spatial relationships efficiently. This article explores the applications of graph theory algorithms in geospatial sciences, highlighting their role in network analysis, spatial connectivity, geographic information systems, and various other spatial problem-solving scenarios like digital twin. The article provides a comprehensive idea about graph theory's key concepts and algorithms that assist the geospatial modelling processes and insights into real-world geospatial challenges and opportunities. It lists the extensive research, innovative technologies and methodologies implemented in this domain. 2023-10-09 2024-01-10T20:17:58Z 2024-01-10T20:17:58Z Working Paper https://hdl.handle.net/10568/137533 en Open Access Cornell University Ghosh, Surajit; Mallick, Archita; Chowdhury, Anuva; and De Sarkar, Kounik. 2023. Graph Theory Applications in Advanced Geospatial Research. ArXiv Labs. Cornell University. |
| spellingShingle | spatial data network analysis geographical information systems Ghosh, Surajit Mallick, Archita Chowdhury, Anuva De Sarkar, Kounik Graph Theory Applications in Advanced Geospatial Research |
| title | Graph Theory Applications in Advanced Geospatial Research |
| title_full | Graph Theory Applications in Advanced Geospatial Research |
| title_fullStr | Graph Theory Applications in Advanced Geospatial Research |
| title_full_unstemmed | Graph Theory Applications in Advanced Geospatial Research |
| title_short | Graph Theory Applications in Advanced Geospatial Research |
| title_sort | graph theory applications in advanced geospatial research |
| topic | spatial data network analysis geographical information systems |
| url | https://hdl.handle.net/10568/137533 |
| work_keys_str_mv | AT ghoshsurajit graphtheoryapplicationsinadvancedgeospatialresearch AT mallickarchita graphtheoryapplicationsinadvancedgeospatialresearch AT chowdhuryanuva graphtheoryapplicationsinadvancedgeospatialresearch AT desarkarkounik graphtheoryapplicationsinadvancedgeospatialresearch |