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From Graphs to Spatial Graphs

机译:从图到空间图

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摘要

Graph theory is a powerful body of mathematical knowledge, based on simple concepts, in which structural units are depicted as nodes with relationships between them depicted as lines. The nodes may have qualitative and quantitative characteristics, and the edges may have properties such as weights and directions. Graph theory provides a flexible conceptual model that can clarify the relationship between structures and processes, including the mechanisms of configuration effects and compositional differences. Graph concepts apply to many ecological and evolutionary phenomena, including interspecific associations, spatial structure, dispersal in landscapes, and relationships within metapopulations and metacommunities. We review applications of graph theory in biology, emphasizing graphs with spatial contexts. We show how spatial graph properties can be used for description and comparison as well as to test specific hypotheses. We suggest that future applications should include explicit spatial elements for landscape studies of ecological, genetic and epidemiological phenomena.
机译:图论是基于简单概念的强大的数学知识体系,其中结构单元被描述为节点,它们之间的关系被描述为线。节点可以具有定性和定量特征,并且边缘可以具有诸如权重和方向的属性。图论提供了一种灵活的概念模型,可以阐明结构与过程之间的关系,包括构型效应和成分差异的机制。图的概念适用于许多生态和进化现象,包括种间关联,空间结构,在景观中的散布以及在种群和元社区之间的关系。我们回顾了图论在生物学中的应用,强调了具有空间上下文的图。我们展示了如何将空间图属性用于描述和比较以及检验特定假设。我们建议,未来的应用应包括用于生态学,遗传学和流行病学现象的景观研究的明确空间元素。

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