Landscape characterization using photographs from crowdsourced platforms: content analysis of social media photographs
Landscape characterisation using social media photographs from popular platforms has been proposed as a landscape and ecosystem services approach. However, popular crowdsourced websites provide uncharacterized data and are only representative of the general public. Photographs from crowdsourced spor...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2019-10-01
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| Series: | Open Geosciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/geo-2019-0046 |
| _version_ | 1818670760725577728 |
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| author | Callau Aitor Àvila Albert María Yolanda Pérez Rota Joan Jurado Giné David Serrano |
| author_facet | Callau Aitor Àvila Albert María Yolanda Pérez Rota Joan Jurado Giné David Serrano |
| author_sort | Callau Aitor Àvila |
| collection | DOAJ |
| description | Landscape characterisation using social media photographs from popular platforms has been proposed as a landscape and ecosystem services approach. However, popular crowdsourced websites provide uncharacterized data and are only representative of the general public. Photographs from crowdsourced sports platforms, whose users are more homogeneous, could help to characterise landscape more uniformly. In this study we use automated content analysis from photographs on Wikiloc, a crowd-sourced sports platform, to characterize landscape in the Ebro Delta Natural Park, a protected area in Spain. Our approach applies big data procedures and spatial analysis to provide in-depth information regarding what draws visitors’ attention to a landscape and to ascertain their intrasite flow. Our results show that sports users are keen on natural landscapes and pay less attention to rural and degraded landscapes, and that areas closer to paths are more photographed than more distant areas. |
| first_indexed | 2024-12-17T07:13:14Z |
| format | Article |
| id | doaj.art-bb8c86d3cfc64a68bf1110c52b422ce5 |
| institution | Directory Open Access Journal |
| issn | 2391-5447 |
| language | English |
| last_indexed | 2024-12-17T07:13:14Z |
| publishDate | 2019-10-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Geosciences |
| spelling | doaj.art-bb8c86d3cfc64a68bf1110c52b422ce52022-12-21T21:58:59ZengDe GruyterOpen Geosciences2391-54472019-10-0111155857110.1515/geo-2019-0046geo-2019-0046Landscape characterization using photographs from crowdsourced platforms: content analysis of social media photographsCallau Aitor Àvila0Albert María Yolanda Pérez1Rota Joan Jurado2Giné David Serrano3Universitat Rovira i Virgili, c/ Joanot Martorell, 15, 43480 Vila-seca, Tarragona, SpainUniversitat Rovira i Virgili, c/ Joanot Martorell, 15, 43480 Vila-seca, Tarragona, SpainUniversitat Rovira i Virgili, c/ Joanot Martorell, 15, 43480 Vila-seca, Tarragona, SpainUniversitat Rovira i Virgili, c/ Joanot Martorell, 15, 43480 Vila-seca, Tarragona, SpainLandscape characterisation using social media photographs from popular platforms has been proposed as a landscape and ecosystem services approach. However, popular crowdsourced websites provide uncharacterized data and are only representative of the general public. Photographs from crowdsourced sports platforms, whose users are more homogeneous, could help to characterise landscape more uniformly. In this study we use automated content analysis from photographs on Wikiloc, a crowd-sourced sports platform, to characterize landscape in the Ebro Delta Natural Park, a protected area in Spain. Our approach applies big data procedures and spatial analysis to provide in-depth information regarding what draws visitors’ attention to a landscape and to ascertain their intrasite flow. Our results show that sports users are keen on natural landscapes and pay less attention to rural and degraded landscapes, and that areas closer to paths are more photographed than more distant areas.https://doi.org/10.1515/geo-2019-0046landscape characterisationecosystem servicessports crowdsourced photographswikilocoutdoor activities |
| spellingShingle | Callau Aitor Àvila Albert María Yolanda Pérez Rota Joan Jurado Giné David Serrano Landscape characterization using photographs from crowdsourced platforms: content analysis of social media photographs Open Geosciences landscape characterisation ecosystem services sports crowdsourced photographs wikiloc outdoor activities |
| title | Landscape characterization using photographs from crowdsourced platforms: content analysis of social media photographs |
| title_full | Landscape characterization using photographs from crowdsourced platforms: content analysis of social media photographs |
| title_fullStr | Landscape characterization using photographs from crowdsourced platforms: content analysis of social media photographs |
| title_full_unstemmed | Landscape characterization using photographs from crowdsourced platforms: content analysis of social media photographs |
| title_short | Landscape characterization using photographs from crowdsourced platforms: content analysis of social media photographs |
| title_sort | landscape characterization using photographs from crowdsourced platforms content analysis of social media photographs |
| topic | landscape characterisation ecosystem services sports crowdsourced photographs wikiloc outdoor activities |
| url | https://doi.org/10.1515/geo-2019-0046 |
| work_keys_str_mv | AT callauaitoravila landscapecharacterizationusingphotographsfromcrowdsourcedplatformscontentanalysisofsocialmediaphotographs AT albertmariayolandaperez landscapecharacterizationusingphotographsfromcrowdsourcedplatformscontentanalysisofsocialmediaphotographs AT rotajoanjurado landscapecharacterizationusingphotographsfromcrowdsourcedplatformscontentanalysisofsocialmediaphotographs AT ginedavidserrano landscapecharacterizationusingphotographsfromcrowdsourcedplatformscontentanalysisofsocialmediaphotographs |