van Zanten Boris T, Van Berkel Derek B, Meentemeyer Ross K, Smith Jordan W, Tieskens Koen F, Verburg Peter H
Environmental Geography Group, Faculty of Earth and Life Sciences, VU University Amsterdam, 1081 HV Amsterdam, The Netherlands;
Center for Geospatial Analytics, College of Natural Resources, North Carolina State University, Raleigh, NC 27695.
Proc Natl Acad Sci U S A. 2016 Nov 15;113(46):12974-12979. doi: 10.1073/pnas.1614158113. Epub 2016 Oct 31.
Individuals, communities, and societies ascribe a diverse array of values to landscapes. These values are shaped by the aesthetic, cultural, and recreational benefits and services provided by those landscapes. However, across the globe, processes such as urbanization, agricultural intensification, and abandonment are threatening landscape integrity, altering the personally meaningful connections people have toward specific places. Existing methods used to study landscape values, such as social surveys, are poorly suited to capture dynamic landscape-scale processes across large geographic extents. Social media data, by comparison, can be used to indirectly measure and identify valuable features of landscapes at a regional, continental, and perhaps even worldwide scale. We evaluate the usefulness of different social media platforms-Panoramio, Flickr, and Instagram-and quantify landscape values at a continental scale. We find Panoramio, Flickr, and Instagram data can be used to quantify landscape values, with features of Instagram being especially suitable due to its relatively large population of users and its functional ability of allowing users to attach personally meaningful comments and hashtags to their uploaded images. Although Panoramio, Flickr, and Instagram have different user profiles, our analysis revealed similar patterns of landscape values across Europe across the three platforms. We also found variables describing accessibility, population density, income, mountainous terrain, or proximity to water explained a significant portion of observed variation across data from the different platforms. Social media data can be used to extend our understanding of how and where individuals ascribe value to landscapes across diverse social, political, and ecological boundaries.
个人、社区和社会赋予景观各种各样的价值。这些价值受到这些景观所提供的美学、文化、娱乐效益及服务的影响。然而在全球范围内,城市化、农业集约化和土地废弃等进程正威胁着景观的完整性,改变着人们与特定地点之间具有个人意义的联系。现有的用于研究景观价值的方法,如社会调查,不太适合捕捉大范围地理区域内动态的景观尺度过程。相比之下,社交媒体数据可用于在区域、大陆乃至全球尺度上间接测量和识别景观的有价值特征。我们评估了不同社交媒体平台——Panoramio、Flickr和Instagram——的实用性,并在大陆尺度上量化景观价值。我们发现,Panoramio、Flickr和Instagram的数据可用于量化景观价值,Instagram的特征尤其合适,因为其用户数量相对较多,且具备让用户为上传的图片添加具有个人意义的评论和标签的功能。尽管Panoramio、Flickr和Instagram的用户群体不同,但我们的分析揭示了欧洲在这三个平台上景观价值的相似模式。我们还发现,描述可达性、人口密度、收入、山地地形或与水的距离的变量解释了不同平台数据中很大一部分观测到的变化。社交媒体数据可用于拓展我们对个人如何以及在何处跨越不同社会、政治和生态界限赋予景观价值的理解。