Exploring Georeferenced Mobile Phone Datasets - A Survey and Reference Framework
Bibliographic Data
| ID | 5697366 |
|---|---|
| Authors | Yihong Yuan (0000-0001-6266-9744, Texas State University, corresponding author), Martin Raubal (0000-0001-5951-6835, ETH Zurich) |
| Year | 2016 |
| Volume | 10 |
| Issue | 6 |
| Pages | 239-252 |
| Publication date | 2016-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Geography Compass (JOURNAL) |
| Journal identifiers | ISSN: 1749-8198 • E-ISSN: 1749-8198 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/gec3.12269 |
| OpenAlex | W2419649885 |
| Language | EN |
| Citations received | 2 |
| References cited | 37 |
Nowadays, mobile phones and other information and communication technology (ICT) devices collect large numbers of measurements about their users. This review paper provides an overview of georeferenced mobile phone datasets by exploring and summarizing the metadata of multiple datasets based on a literature review. It also presents an abstract model to depict the connections of these datasets, serving as the basis for potential spatio-temporal data mining and geographic knowledge discovery tasks. The summarized metadata table and proposed research topics can be applied as a reference framework to future studies in the area of mobile computing, geospatial data mining, and mobile data collection in the age of instant access
Cartography · Data mining · Data science · Geography · Georeference · Geospatial analysis · Information retrieval · Metadata · Mobile device · Mobile phone · Phone · Telecommunications · World Wide Web · Computer Science · Data-Driven Disease Surveillance · Geographic Information Systems Studies · Human Mobility and Location-Based Analysis
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| Unique citing works | 2 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |