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Jun 23, 2020
Runge, Claire A.; Daigle, Remi; Hausner, Vera H.; Monz, Christopher A., 2020, "Replication data for: Pan-Arctic analysis of cultural ecosystem services using social media and automated content analysis", https://doi.org/10.18710/DUANRP, DataverseNO, V1, UNF:6:ZahdAHYFWhoYLYqxvnk4bQ== [fileUNF]
In the Arctic, as in many parts of the world, interactions with the natural world are an important part of people’s experience and are often recorded in photographs. Emerging methods for automated content analysis of social media data offers opportunities to discover information... |
Jun 23, 2020 -
Replication data for: Pan-Arctic analysis of cultural ecosystem services using social media and automated content analysis
Plain Text - 10.1 KB -
MD5: 3b1e6c3418afcca636589e2e55a86932
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Jun 23, 2020 -
Replication data for: Pan-Arctic analysis of cultural ecosystem services using social media and automated content analysis
Tabular Data - 28.6 KB - 9 Variables, 368 Observations - UNF:6:aghwHPw5Ur35ztZApQuVHg==
Data on the percentage of photos that fall inside and outside protected areas, by country and ecosystem service group. |
Jun 23, 2020 -
Replication data for: Pan-Arctic analysis of cultural ecosystem services using social media and automated content analysis
Tabular Data - 264.6 KB - 7 Variables, 6660 Observations - UNF:6:UqVJdclN5tT5yVIg2FjlfQ==
List of the labels assigned to photos by Google Cloud Vision and the corresponding ecosystem service group that we classified each into. |
