Identifying Functional Urban Regions from Bluetooth Data: A Case Study of Austin, Texas
| dc.contributor.advisor | Yuan, Yihong | |
| dc.contributor.author | Combs, Jacob H. | |
| dc.contributor.committeeMember | Currit, Nathan | |
| dc.date.accessioned | 2018-06-12T14:48:31Z | |
| dc.date.available | 2018-06-12T14:48:31Z | |
| dc.date.issued | 2018-05 | |
| dc.description.abstract | Worldwide, the rate of urbanization has increased over the last several decades and the need to adequately identify urban areas are used increases importance with every year. This study applies dynamic time warping and hierarchical clustering methods to a Bluetooth data set to identify functional urban regions in Austin, Texas. Examining the distribution of the functional urban regions and their spatial configuration allows inferences to be made in relation to the way that people use the urban area of Austin. | |
| dc.description.department | Applied Geography | |
| dc.format | Text | |
| dc.format.extent | 28 pages | |
| dc.format.medium | 1 file (.pdf) | |
| dc.identifier.citation | Combs, J. H. (2018). Identifying functional urban regions from bluetooth data: A case study of Austin, Texas. Master of Applied Geography Degree, Texas State University, San Marcos, TX. | |
| dc.identifier.uri | https://hdl.handle.net/10877/7288 | |
| dc.language.iso | en | |
| dc.subject | social sensing | |
| dc.subject | big data analytics | |
| dc.subject | temporal analysis | |
| dc.subject | bluetooth data | |
| dc.subject | functional urban regions | |
| dc.subject | Applied Geography | |
| dc.title | Identifying Functional Urban Regions from Bluetooth Data: A Case Study of Austin, Texas | |
| dc.type | Directed Research Project | |
| thesis.degree.department | Geography | |
| thesis.degree.discipline | Geographic Information Science | |
| thesis.degree.grantor | Texas State University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Applied Geography |