Using community detection for spatial networks: POSTER

Krista Rizman Žalik, B. Žalik
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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.
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利用社区检测空间网络:POSTER
本文描述了图分析在空间网络中的应用。使用社区检测算法来检测社区-在土地覆盖对象网络中相似对象的群体以确定土地利用进行了评估。土地覆盖到土地利用的转换需要一些知识来合并土地覆盖对象。社区检测算法将形成的空间网络中的对象合并为社区。群落检测算法是空间图的有效分析工具,可以识别出具有不同特征的土地利用群落,但具有拓扑关系的空间网络会产生一些问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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