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.

This paper analyses visitor monitoring and the public use of protected areas using volunteered geographic information (VGI) as a source of big data and, as the object of study, the Ebro Delta Natura 2000 site (west Mediterranean basin). Over 5,000 voluntarily recorded tracks spread over 10 years have been analysed, showing a predominance of cycling activities on trails of up to 50 km in length. Using cluster analysis and a hotspot approach, we found that the highest intensities of use are concentrated in less than 1% of the area studied, while a high dispersion of track start/finish points suggests low but scattered pressure all over the site. Spatial analysis reveals a number of spatial interactions, including the use of official trails, trespassing on reserves and potential nuisance to birdlife. This information is useful for site managers and helps them design sustainable practices. By applying the same analysis using VGI and data mining to other Natura 2000 sites, comparisons can be made and thus provide valuable assessment regarding visitor monitoring and public use patterns for the largest network of protected areas in the world.

Mapping cognitive landscape perception is hindered by the difficulty of representing opinions that are spatially distributed in a heterogeneous way or not restricted by the locations of physical elements in the landscape. In recent years, the use of tools based on geographic information techniques has gained momentum in landscape assessment. We propose a methodology for generalizing cognitive landscape opinions on a spatial basis. To this end, we used a public participatory geographic information system to collect data, which is a method based on bipolar adjectives to approach users’ opinions, and the inverse distance weighted spatial interpolator and multi-criteria evaluation to undertake the spatial analysis. The study was conducted in the Ebro Delta, which is a protected wetland in northeastern Spain. The assessment was based on 1593 georeferenced opinions and resulted in a continuous geographic map of 330 km² depicting positive and negative perceptions about the landscape. The area under study was perceived as productive, interesting, attractive, and, for the most part, quiet and peaceful, although it was seen as dirty in some parts. The method successfully mapped cognitive landscape opinions and establishes a novel procedure in landscape approaches.

This paper analyses public use in the Ebro Delta Natural Park using PPGIS (public participation geographic information system) methodology. An online survey was designed using Google Maps API, HTML, and JAVASCRIPT. Respondents were asked to place and rate thirteen items on an interactive map to characterize and georeference public use with regard to accessibility, facilities and services, signposting, safety and security, and leisure activities. In total we collected 209 valid surveys and mapped 2617 georeferenced opinions. Facilities and services were rated highly by users (72.46% were “very satisfied”). These were followed by accessibility (61%, “very satisfied”) and signposting (60.2%, “satisfied” or “quite satisfied”). Safety and security items were hardly rated perhaps because users do not feel insecure in the area. Respondents’ mapping of opinions and experiences, which are heterogeneous and were well rated, enabled us to visualize areas that might be understood as social hotspots. Our results show that PPGIS is an effective procedure for measuring public use in protected areas and may be a valuable tool for park managers and planners.

VGI (Volunteered Geographic Information) refers to spatial data collected, created, and shared voluntarily by users. Georeferenced tracks are one of the most common components of VGI, and, as such, are not free from errors. The cleaning of GNSS (Global Navigation Satellite System) tracks is usually based on the detection and removal of outliers using their geometric characteristics. However, according to our experience, user profile differentiation is still a novelty, and studies delving into the relationship between contributor efficiency, activity, and quality of the VGI produced are lacking. The aim of this study is to design a procedure to filter GNSS traces according to their quality, the type of activity pursued, and the contributor efficiency with VGI. Source data are obtained Wikiloc. The methodology includes tracks classification according mobility types, box plot analysis to identify outliers, bivariate user segmentation according to level of activity and efficiency, and the study of its spatial behavior using kernel-density maps. The results reveal that out of 44,326 tracks, 8096 (18.26%) are considered erroneous, mainly (73.02%) due to contributors’ poor practices and the remaining being due to bad GNSS reception. The results also show a positive correlation between data quality and the author’s efficiency collecting VGI.