Citizen science: best practices to remove observer bias in trend analysis

作者: Alemu Gonsamo , Petra D’Odorico

DOI: 10.1007/S00484-014-0806-8

关键词: Quality (business)Range (statistics)RegressionGeographyCitizen scienceObserver (quantum physics)Anomaly (natural sciences)Trend analysisPerceptionEconometricsMeteorology

摘要: Citizen science, time series records over long periods of time, and wide geographic areas offer many opportunities for scientists to answer questions that would otherwise be impractical investigate. currently play active roles in a range ecological projects; however, observer biases such as varying perception events or objects being observed quality observations present challenges successfully derive interannual variability trend statistics from records. It is recommended citizen science records, particularly those involving plant phenology, should not directly averaged across sites. The expressed an anomaly regression slope calculated each site. Only the site level slopes suppress biases.

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