.png){kind=icon}
.png){kind=icon}
Return
From Graphs to Spatial Graphs
.png){kind=icon}
PRE
AI
DOI：10.1146/annurev-ecolsys-102209-144718.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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
Keywords:
connectivity
network
spatial structure
subgraph
tree
Journal
No journal information available