Code: 06824600
As the nature of geographic environment is a complex§system, researches in this field are anticipated. In§particular, the urban street networks as complex§networks are brought forth in this study with help of§the Geographic Inform ... more
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As the nature of geographic environment is a complex§system, researches in this field are anticipated. In§particular, the urban street networks as complex§networks are brought forth in this study with help of§the Geographic Information System (GIS). This book§explored the topological patterns of a sample of 40§US urban street networks, from both analytical and§visual perspectives. The scale free properties for§the connectivity degree and length of the urban§streets networks were examined. Moreover, the new§methods based on Maximum Likelihood Estimation§together with goodness-of-fit test were performed, in§order to brought solid and accurate results.§Simultaneously, thanks to the large network§visualization tool (LaNet-vi), which is based on§k-core decomposition algorithm, the topological§networks of the urban streets were able to be§presented visually. With help of the platform from§GIS, the spatial information can be successfully§retrieved to offer more meaningful visualization§effects.
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