Author, as appears in the article.: Avila Callau, Aitor; Perez-Albert, Yolanda; Serrano Gine, David;
Department: Geografia
URV's Author/s: Avila Callau, Aitor / Perez Albert, Maria Yolanda / SERRANO GINÉ, DAVID
Keywords: Vgi User segmentation Usability Spatial behavior Reputation Gnss data cleaning Geolocated social media data Data quality Data pre-processing Crowdsourced platforms Crowdsourced gnss traces Cluster analysis
Abstract: 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.
Research group: GRATET. Anàlisi Territorial i Estudis Turístics
Thematic Areas: Zootecnia / recursos pesqueiros Saúde coletiva Remote sensing Medicina veterinaria Geography, planning and development Geography, physical Geografía Geociências Engenharias i Earth and planetary sciences (miscellaneous) Computers in earth sciences Computer science, information systems Ciencias sociales Ciências ambientais Ciências agrárias i Ciência da computação Biodiversidade
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: aitor.avila@urv.cat aitor.avila@urv.cat aitor.avila@urv.cat myolanda.perez@urv.cat
Author identifier: 0000-0003-1634-4986
Record's date: 2024-09-21
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.mdpi.com/2220-9964/9/12/727
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Isprs International Journal Of Geo-Information. 9 (12):
APA: Avila Callau, Aitor; Perez-Albert, Yolanda; Serrano Gine, David; (2020). Quality of GNSS Traces from VGI: A Data Cleaning Method Based on Activity Type and User Experience. Isprs International Journal Of Geo-Information, 9(12), -. DOI: 10.3390/ijgi9120727
Article's DOI: 10.3390/ijgi9120727
Entity: Universitat Rovira i Virgili
Journal publication year: 2020
Publication Type: Journal Publications
Repositori URV