Identifying Fuzzy Land Use from Network and graph Theoretical Approaches

Alexis Comber1, Masahiro Umezaki2 and Chris Brunsdon1
1. Department of Geography, University of Leicester, Leicester, LEI 7RH, UK
2. Department of Human Ecology, Tokyo University, Tokyo, Japan

1.{ajc36, cb179}; 

Abstract: This paper describes the application of network science community finding techniques to networks of land cover objects in order to identify areas of land use. The results show that areas of homogenous land use can be identified and fuzzy land use determined using training data generated from a linear discriminant analysis. Further work will explore the application of different parameters and attributes to community identification algorithms.

Keywords: network, graph, communities, land use, land cover

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