ISPRS International Journal of Geo-Information, Volume 10, Issue 2
February 2021 - 63 articles
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Cover Story: Crowdsourcing is widely used for air pollution monitoring with low-cost sensors measuring particulate matter concentration. We introduced social innovation into the air quality assessment area, which is based on citizen-driven air pollution symptom mapping (APSM). With this method, the citizens report their health symptoms related to air quality. They use the mobile survey app incorporated into GeoWeb, presenting the collected data in real time. The main challenge of the crowdsourcing method is unstructured data. Thus, we proposed the data quality assessment (QA) framework for health-symptom-based projects. It consists of several logic-based QA mechanisms implemented into GeoWeb, which make up a QA system reducing data bias. This way, citizens are engaged in creating a spatial model of city wellbeing which is consistent and reliable. View this paper