| Records |
Author  |
Heikinheimo, V.; Toivonen, T., |
| Title |
Critical comparison of social media and other user-generated geographic information as a source of visitor information – lessons learned in the SoMeCon-project |
Type |
|
| Year |
2021 |
Publication |
The 10th MMV Conference: Managing outdoor recreation experiences in the Anthropocene – Resources, markets, innovations |
Abbreviated Journal |
|
| Volume |
MINA fagrapport |
Issue |
|
Pages |
294-295 |
| Keywords |
MMV10 |
| Abstract |
Up-to-date information about outdoor recreation experiences is important for the planning and management of national parks and other outdoor destinations. User-generated data such as geotagged social media posts and GPS-tracks shared via sports applications have emerged as potential new data sources to complement on-site counters and surveys. There are considerable amounts of geographic information available from digital platforms and mobile devices representing the movements, activities and preferences of visitors, and these data have been increasingly used for studying visits to national parks and green spaces..This presentation draws together our findings from the Social Media Data for Conservation Science -project SoMeCon (2016-2021). Our main objectives were to 1) gain methodological understanding about social media and other user-generated data sets as a source of geographic information, and 2) to provide new information about the spatial and temporal patterns of human activities in national parks and green spaces. We compared social media data to official visitor statistics from Finnish and South African national parks, and social media to other sources of user-generated geographic information (sports app data, mobile network data, PPGIS data) from urban green spaces in Helsinki, Finland. |
| Call Number |
|
Serial |
4331 |
| Permanent link to this record |
| |
|
| |
| Author |
Vaisanen, T.; Heikinheimo, V.; Hiippala, T.; Toivonen, T., |
| Title |
Exploring human-nature interactions in national parks with social media photo-graphs and computer vision |
Type |
|
| Year |
2021 |
Publication |
The 10th MMV Conference: Managing outdoor recreation experiences in the Anthropocene – Resources, markets, innovations |
Abbreviated Journal |
|
| Volume |
MINA fagrapport |
Issue |
|
Pages |
248-249 |
| Keywords |
MMV10 |
| Abstract |
Understanding the activities and preferences of visitors is crucial for managing protected areas and planning conservation strategies. User-generated geographic information such as photographs shared on social media have emerged as new data sources to complement more traditional visitor information such as on-site surveys. However, analyzing large volumes of photographs manually is a laborious task. Automated analysis of the rich textual and visual content on social media data offers new opportunities for understanding human presence and activities in nature (Toivonen et al. 2019). Approaches for textual and content analysis have been widely developed under the umbrella of conservation culturomics (Ladle et al. 2016). They have been recognized as a useful data source for nature conservation. At the same time, automated analysis visual content has remained rather underexplored when mapping human activities in nature. In this presentation we present our findings of using computer vision methods to explore human-nature interactions from social media photographs and their applicability to visitor monitoring of protected areas. Our main questions are: What types of information can off-the-shelf computer vision methods extract from social media photographs, in terms of activities and preferences of people? Do different visitor groups share different types of photographs from national parks? How does photographic content vary between different types of national parks? |
| Call Number |
|
Serial |
4311 |
| Permanent link to this record |
