Overture Point of Interest data for the United Kingdom
A comprehensive, queryable open data product, validated against Geolytix supermarket data
Bibliographic Data
| ID | 21247643 |
|---|---|
| Authors | Peri Ballantyne (0000-0001-8980-2912, University of Liverpool, corresponding author), Cillian Berragan (0000-0003-2198-2245, Clinical Practice Research Datalink) |
| Year | 2024 |
| Volume | 51 |
| Issue | 8 |
| Pages | 1974-1980 |
| Publication date | 2024-10-01 |
| 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 | 10.1177/23998083241263124 |
| OpenAlex | W4400922089 |
| Language | EN |
| Citations received | 2 |
| References cited | 17 |
Point of Interest data that is globally available, open access and of good quality is sparse, despite being important inputs for research in a number of application areas. New data from the Overture Maps Foundation offers significant potential in this arena, but accessing the data relies on computational resources beyond the skillset and capacity of the average researcher. In this article, we provide a processed version of the Overture places (POI) dataset for the UK, in a fully queryable format, and provide accompanying code through which to explore the data, and generate other national subsets. In the article, we describe the construction and characteristics of this new open data product, before evaluating its quality in relation to ISO standards, through direct comparison with Geolytix supermarket data. This dataset can support new and important research projects in a variety of different thematic areas, and foster a network of researchers to further evaluate its advantages and limitations, through validation against other well-established datasets from domains external to retail
Business · Data science · Computer Science · Data Management and Algorithms · Geographic Information Systems Studies · Human Mobility and Location-Based Analysis · Mathematics
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| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |