Name
Abstract | ||
|---|---|---|
Social and interpersonal connections are attached to the built environment: people require physical infrastructure to meet and telecommunicate, and then populate these infrastructures with movement and information dynamics. In GIS analysis, actions are often represented as a unit of spatial information called the social flow–a linear geographic feature that evidences an individual's decision to connect places through travel, telecommunications and/or declaring personal relationships. These flows differ from traditional spatial networks (roads, etc.) because they are often non-planar, and unlike networks in operations systems (such as flight networks), provide evidence of personal intentionality to interact with the built environment and/or to perpetuate relationships with others. En masse, these flows sum to illustrate how humans, information and thoughts spread between and within places. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compenvurbsys.2018.03.008 | Computers, Environment and Urban Systems |
Keywords | Field | DocType |
GIS,Social networks,Spatial data,Origin/destination data,Spatial interaction | Data science,Spatial analysis,Built environment,Data mining,Interpersonal communication,Intentionality,Social distance,Data type,Geography,Social research | Journal |
Volume | ISSN | Citations |
70 | 0198-9715 | 1 |
PageRank | References | Authors |
0.36 | 29 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Clio Andris | 1 | 117 | 9.67 |
| Xi Liu | 2 | 22 | 2.56 |
| Joseph Ferreira | 3 | 146 | 8.72 |