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Using community detection for spatial networks

Authors :
Borut Žalik
Krista Rizman Žalik
Source :
CF
Publication Year :
2019
Publisher :
ACM, 2019.

Abstract

This paper describes the use of graph analysis for spatial networks. The use of community detection algorithms for detecting communities- groups of similar objects within networks of land cover objects to determine the land use is evaluated. Land cover to land use transformation requires some knowledge to merge land cover objects. Community detection algorithms merge objects of the formed spatial network into communities. Community detection algorithms are efficient analysis tool for spatial graphs and can identify land use communities but with different characteristics, although spatial networks with topological relationships between objects can cause some problems.

Details

Database :
OpenAIRE
Journal :
Proceedings of the 16th ACM International Conference on Computing Frontiers
Accession number :
edsair.doi...........890f37415cfe1ad863df8e14de0d67b9
Full Text :
https://doi.org/10.1145/3310273.3323429