Evaluation of GNSS-based Volunteered Geographic Information for assessing visitor spatial distribution within protected areas: A case study of the Bavarian Forest National Park, Germany. (January 2023)
- Record Type:
- Journal Article
- Title:
- Evaluation of GNSS-based Volunteered Geographic Information for assessing visitor spatial distribution within protected areas: A case study of the Bavarian Forest National Park, Germany. (January 2023)
- Main Title:
- Evaluation of GNSS-based Volunteered Geographic Information for assessing visitor spatial distribution within protected areas: A case study of the Bavarian Forest National Park, Germany
- Authors:
- Horst, Laura
Taczanowska, Karolina
Porst, Florian
Arnberger, Arne - Abstract:
- Abstract: Systematic monitoring of recreational use in vulnerable ecosystems is crucial to balance human needs and site capacities. Recently, publicly available digital data, including Global Navigation Satellite System-based Volunteered Geographic Information, gained attention as a potential resource depicting visitor movement. However, there is a need to critically assess its reliability for visitor monitoring across countries, regions and available databases. Our research evaluates the usability of GNSS-based VGI-data obtained from three common platforms: GPSies, Outdooractive, and Komoot for assessing the spatial distribution of hikers in the Bavarian Forest National Park. A total sample of 1742 GNSS-tracks uploaded between 2013 and 2018 were compared across data platforms. Additionally, available systematic field counts, carried out between 2013 and 2014 (11 Eco-Counter sensors), were compared to GNSS-based VGI data uploaded within the corresponding period. The comparisons at individual and collective levels (route lengths, kernel density, optimized hotspot analysis along with fishnet-based counts of GNSS-tracks) showed similarities between VGI data platforms. Data obtained from GPSies and Outdooractive displayed a higher correlation with each other than with those obtained from Komoot. Also, for GPSies, there was a significant positive correlation between VGI-data and field count data. Data sample of Outdooractive and Komoot within the specified spatio-temporal frameAbstract: Systematic monitoring of recreational use in vulnerable ecosystems is crucial to balance human needs and site capacities. Recently, publicly available digital data, including Global Navigation Satellite System-based Volunteered Geographic Information, gained attention as a potential resource depicting visitor movement. However, there is a need to critically assess its reliability for visitor monitoring across countries, regions and available databases. Our research evaluates the usability of GNSS-based VGI-data obtained from three common platforms: GPSies, Outdooractive, and Komoot for assessing the spatial distribution of hikers in the Bavarian Forest National Park. A total sample of 1742 GNSS-tracks uploaded between 2013 and 2018 were compared across data platforms. Additionally, available systematic field counts, carried out between 2013 and 2014 (11 Eco-Counter sensors), were compared to GNSS-based VGI data uploaded within the corresponding period. The comparisons at individual and collective levels (route lengths, kernel density, optimized hotspot analysis along with fishnet-based counts of GNSS-tracks) showed similarities between VGI data platforms. Data obtained from GPSies and Outdooractive displayed a higher correlation with each other than with those obtained from Komoot. Also, for GPSies, there was a significant positive correlation between VGI-data and field count data. Data sample of Outdooractive and Komoot within the specified spatio-temporal frame was too small to compare with available field count data. We highlight the necessity of systematic validation of GNSS-based VGI data resources, being complementary rather than the primary data source in visitor monitoring and recreation planning. Also, systematic long-term visitor monitoring using other methods is crucial to assess the validity of novel data resources, such as GNSS-based VGI. Highlights: This study evaluates usability of GNSS-based VGI-data for monitoring human spatial behaviour in outdoor recreational areas. We compared data obtained from three platforms(GPSies, Outdooractive, Komoot) and field counts available for Bavarian Forest NP There was a significant positive correlation in GNSS-tracks distribution across all investigated VGI platforms. There was a significant positive correlation between VGI-data and field counts in case of GPSies. We highlight the necessity of systematic validation of GNSS-based VGI data resources in recreation monitoring. … (more)
- Is Part Of:
- Applied geography. Volume 150(2023)
- Journal:
- Applied geography
- Issue:
- Volume 150(2023)
- Issue Display:
- Volume 150, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 150
- Issue:
- 2023
- Issue Sort Value:
- 2023-0150-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-01
- Subjects:
- GNSS -- GPS -- VGI -- Social media -- Protected area -- Recreation -- Tourism -- Visitor monitoring -- Bavarian Forest National Park -- Hiking -- Recreational trails -- GPS tracking -- Big data -- GPSies -- Outdooractive -- Komoot -- Nature protection -- Visitor management -- Spatial behaviour
GNSS Global Navigation Satellite System -- VGI Volunteered Geographic Information
Geography -- Periodicals
Human geography -- Periodicals
Human ecology -- Periodicals
910 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.apgeog.2022.102825 ↗
- Languages:
- English
- ISSNs:
- 0143-6228
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.590000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24712.xml