Description
Volunteered Geographic Information (VGI) has been used to complement or substitute authoritative data in flood management domain. The main issue regarding the use of volunteered information is to estimate its quality, mainly because it may suffer from heterogeneous quality. Therefore, several methods have been developed in the past few years in order to assess VGI quality. However, existing works lack in assessing VGI quality for the purpose of flood management. To overcome this gap, we propose a method for assessing the quality of VGI for this purpose. This method uses a set of quality metrics that were developed for measuring VGI plausibility. A multiple linear regression was carried out in order to demonstrate the relationship between VGI plausibility and the quality metrics. The results showed that plausibility can be explained by 5 quality metrics. Thus, the proposed method is able to estimate the plausibility of VGI in flood management domain.
Recommended Citation
Castro Degrossi, Lívia; Porto de Albuquerque, João; Restrepo-Estrada, Camilo Ernesto; Mobasheri, Amin; and Zipf, Alexander, "Exploring the geographical context for quality assessment of VGI in flood management domain" (2017). AMCIS 2017 Proceedings. 6.
https://aisel.aisnet.org/amcis2017/DataScience/Presentations/6
Exploring the geographical context for quality assessment of VGI in flood management domain
Volunteered Geographic Information (VGI) has been used to complement or substitute authoritative data in flood management domain. The main issue regarding the use of volunteered information is to estimate its quality, mainly because it may suffer from heterogeneous quality. Therefore, several methods have been developed in the past few years in order to assess VGI quality. However, existing works lack in assessing VGI quality for the purpose of flood management. To overcome this gap, we propose a method for assessing the quality of VGI for this purpose. This method uses a set of quality metrics that were developed for measuring VGI plausibility. A multiple linear regression was carried out in order to demonstrate the relationship between VGI plausibility and the quality metrics. The results showed that plausibility can be explained by 5 quality metrics. Thus, the proposed method is able to estimate the plausibility of VGI in flood management domain.