A nationwide dataset of de-identified activity spaces derived from geotagged social media data
Bibliographic Data
| ID | 21248166 |
|---|---|
| Authors | Ate Poorthuis (0000-0002-3808-7493, KU Leuven, corresponding author), Qingqing Chen (0000-0002-3787-3134, University at Buffalo, State University of New York), Matthew Zook (0000-0002-6034-3262, University of Kentucky) |
| Year | 2024 |
| Volume | 51 |
| Issue | 9 |
| Pages | 2264-2275 |
| Publication date | 2024-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning B Urban Analytics and City Science (JOURNAL) |
| Journal identifiers | ISSN: 2399-8083 • E-ISSN: 2399-8091 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/23998083241264051 |
| OpenAlex | W4400778067 |
| Language | EN |
| Citations received | 3 |
| References cited | 21 |
In this article, we present a historical dataset of activity spaces, originally based on publicly posted and geotagged social media sent within the United States from 2012 to 2019. The dataset, which contains approximately 2 million users and 1.2 billion data points, is de-identified and spatially aggregated to enable ethical and broad sharing across the research community. By publishing the dataset, we hope to help researchers to quickly access and filter data to study people’s activity spaces across a range of places. In this article, we first describe the construction and characteristics of this dataset and then highlight certain limitations of the data through an illustrative analysis of potential bias—an important consideration when using data not collected through representative sampling. Our goal is to empower researchers to create novel, insightful research projects of their own design based on this dataset
Data science · Geography · Social media · World Wide Web · Computer Science · Geographic Information Systems Studies · Human Mobility and Location-Based Analysis · Urban Transport and Accessibility
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| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |