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Spatial Analysis on Networks: Towards identifying similarity of routes

Panagiotis Agourogiannis | Dimitris Kavroudakis | Marios Batsaris Downloads: 533

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Published: 2021/12/21 DOI:

Open Access

Keywords: Network Analysis, Spatial Networks, Points of Interest, Spatial Similarity, GIS, Spatial Analysis


Finding an optimal path in a road network is a method of planning and decision-making that is mainly related to transportations and emergency response. The paper presents an algorithm for finding optimal paths in spatial networks, through the utilization of open source GIS and mathematical analysis of Networks using Graph Theory as well as using geographical proximity attributes of network nodes. The geometric and spatial information of the network as well as its relations with points of interest (POI) of the study areas located at the nodes and edges of the network, are transformed into spatial information, which by applying spatial queries in a geographical database (Postgis/Pgrouting) give query-enabled paths. The case study for the application of the algorithm and finding a route based on spatial queries is the island of Lesvos. This island combines intense topography and a complex road network with multiple geometric relationships. The area also has points of interest such as cultural, tourist and social. The final route will be a synthesis of morphological, tourist and cultural elements similar to the spatial search queries. Finally, the methodology as well as the search algorithm can be applied to any Spatial Network (transportations, environment, energy) described by its geographical features, considering all kinds of geographical issues, thus solving spatial problems and contributing to local development.

Highlights:-Search algorithm to find paths in spatial network using GIS and Graph Theory. -Decision making about local development using spatial networks analysis. -Network analysis to find similar paths with the same spatial characteristics.

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Volume 13, No 2, 2022 (Special Issue in memory of Prof. Yorgos N. Photis)
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