A carregar...
Publicação
Mining big data for tourist hot spots: geographical patterns of online footprints
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 1.17 MB | Adobe PDF |
Orientador(es)
Resumo(s)
Understanding the complex, and often unequal, spatiality of tourist
demand in urban contexts requires other methodologies, among which the information base available online and in social networks has gained prominence. Innovation
supported by Information and Communication Technologies in terms of data access
and data exchange has emerged as a complementary supporting tool for the more traditional data collection techniques currently in use, particularly, in urban destinations
where there is the need to more (near)real-time monitoring. The capacity to collect
and analise massive amounts of data on individual and group behaviour is leading to
new data-rich research approaches. This chapter addresses the potential for discovering geographical insights regarding tourists’ spatial patterns within a destination,
based on the analysis of geotagged data available from two social networks.
·
Descrição
Palavras-chave
Geotagged photos Geography Social networks Big data Data mining Spatial analytics
Contexto Educativo
Citação
Encalada, L., Ferreira, C. C., Boavida-Portugal, I., & Rocha, J. (2019). Mining big data for tourist hot spots: geographical patterns of online footprints. In Geospatial Challenges in the 21st Century (pp. 99-123). Springer. https://doi.org/10.1007/978-3-030-04750-4_6
Editora
Springer