English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Geospatial sciences include a wide range of applications, from environmentalmonitoring transportation to infrastructure planning, as well as location-basedanalysis and services. Graph theory algorithms in mathematics have emerged asindispensable tools in these domains due to their capability to model andanalyse spatial relationships efficiently. This article explores theapplications of graph theory algorithms in geospatial sciences, highlightingtheir role in network analysis, spatial connectivity, geographic informationsystems, and various other spatial problem-solving scenarios like digital twin.The article provides a comprehensive idea about graph theory's key concepts andalgorithms that assist the geospatial modelling processes and insights intoreal-world geospatial challenges and opportunities. It lists the extensiveresearch, innovative technologies and methodologies implemented in this domain.

Graph Theory Applications in Advanced Geospatial Research