Community detection in spatial networks: Inferring land use from a planar graph of land cover objects

Comber, Alexis and Brunsdon, Chris and Farmer, Carson J. Q. (2012) Community detection in spatial networks: Inferring land use from a planar graph of land cover objects. International Journal of Applied Earth Observation and Geoinformation, 18. pp. 274-282. ISSN 0303-2434

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This paper applies three algorithms for detecting communities within networks. It applies them to a network of land cover objects, identified in an OBIA, in order to identify areas of homogenous land use. Previous research on land cover to land use transformations has identified the need for rules and knowledge to merge land cover objects. This research shows that Walktrap, Spinglass and Fastgreedy algorithms are able to identify land use communities but with different spatial properties. Community detection algorithms, arising from graph theory and networks science, offer methods for merging sub-objects based on the properties of the network. The use of an explicitly geographical network also identifies some limitations to network partitioning methods such as Spinglass that introduce a degree of randomness in their search for community structure. The results show such algorithms may not be suitable for analysing geographic networks whose structure reflects topological relationships between objects. The discussion identifies a number of areas for further work, including the evaluation of different null statistical models for determining the modularity of geographic networks. The findings of this research also have implications for the many activities that are considering social networks, which increasingly have a geographical component.

Item Type: Article
Keywords: OBIA; Network; Community detection; Land cover to land use Modularity;
Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
Item ID: 5861
Identification Number: 10.1016/j.jag.2012.01.020
Depositing User: Prof. Chris Brunsdon
Date Deposited: 18 Feb 2015 16:59
Journal or Publication Title: International Journal of Applied Earth Observation and Geoinformation
Publisher: Elsevier
Refereed: Yes

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