Strategies to access web-enabled urban spatial data for socioeconomic research using R functions
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad Autónoma de Madrid |
| Repositorio: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.uam.es:10486/709503 |
| Acceso en línea: | http://hdl.handle.net/10486/709503 https://dx.doi.org/10.1007/s10109-019-00309-y |
| Access Level: | acceso abierto |
| Palabra clave: | Spain Spatial microdata URL parsing Web scraping Economía |
| Sumario: | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10109-019-00309-y |
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