Crowdsourcing Without Data Bias: Building a Quality Assurance System for Air Pollution Symptom Mapping Toward an SDG Indicator

Autor: Marta Samulowska, Szymon Chmielewski, Edwin Raczko, Michał Lupa, Dorota Myszkowska, Bogdan Zagajewski

The United Nations (UN) sustainable development goals (SDGs), a strategy to guide the world’s social and economic transformation, highlight the issue of urban air pollution in SDG 11. Open data, as an output of citizen science (CS), are needed to s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b89cb02c9ff7fd1ac49d041f3f622722
https://doi.org/10.21203/rs.3.rs-61581/v1

Crowdsourcing without Data Bias: Building a Quality Assurance System for Air Pollution Symptom Mapping

Autor: Szymon Chmielewski, Edwin Raczko, Bogdan Zagajewski, Michał Lupa, Marta Samulowska, Dorota Myszkowska

Publikováno v: ISPRS International Journal of Geo-Information
Volume 10
Issue 2
ISPRS International Journal of Geo-Information, Vol 10, Iss 46, p 46 (2021)

Crowdsourcing is one of the spatial data sources, but due to its unstructured form, the quality of noisy crowd judgments is a challenge. In this study, we address the problem of detecting and removing crowdsourced data bias as a prerequisite for bett

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5f59fde3c21443e8acbbca6237a72fe
https://doi.org/10.3390/ijgi10020046