  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.
