| dc.contributor.author | Osth, John | |
| dc.contributor.author | Turk, Umut | |
| dc.contributor.author | Huang, Jie | |
| dc.date.accessioned | 2023-02-24T08:46:31Z | |
| dc.date.available | 2023-02-24T08:46:31Z | |
| dc.date.issued | 2022 | en_US |
| dc.identifier.issn | 1757-7802 | |
| dc.identifier.other | WOS:000860826400014 | |
| dc.identifier.uri | https://doi.org/10.1111/rsp3.12571 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12573/1458 | |
| dc.description.abstract | In recent years, an increasing amount of spatio–temporal data have been made public and openly available forresearch, particularly in online map databases. These new data sources enable researchers to reformulate the way inwhich to measure amenities and design analytical models. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | WILEY | en_US |
| dc.relation.isversionof | 10.1111/rsp3.12571 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | Modelling place attractiveness in the era of big and open data | en_US |
| dc.type | editorial | en_US |
| dc.contributor.department | AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü | en_US |
| dc.contributor.authorID | 0000-0002-8440-7048 | en_US |
| dc.contributor.institutionauthor | Türk, Umut | |
| dc.identifier.volume | 14 | en_US |
| dc.identifier.issue | 4 | en_US |
| dc.identifier.startpage | 914 | en_US |
| dc.identifier.endpage | 915 | en_US |
| dc.relation.journal | REGIONAL SCIENCE POLICY AND PRACTICE | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
