作者对‘利用公民科学数据评估物种种群变化的有效统计推断方法’讨论的回复

Authors’ reply to the Discussion of ‘Efficient statistical inference methods for assessing changes in species’ populations using citizen science data’ at the ‘Discussion meeting on the analysis of citizen science data’

Journal of the Royal Statistical Society. Series A: Statistics in Society · 2025
被引 0
ABS 3

中文导读

作者回应了关于公民科学数据统计方法的讨论,强调需要高效灵活的方法来分析蝴蝶和蛾类监测数据,这些数据通常只包含少量协变量信息。

Abstract

Emily Dennis is unable to comment on the issues raised by the Discussion due to maternity leave. We are grateful for the wide-ranging comments on our paper, which have given us encouragement and provide pointers to future research. We have focused on providing analyses of data provided by Butterfly Conservation in the UK. For both abundance and distribution data, analyses are repeated regularly on sets of 59 species of butterflies and a subset of the approximately 900 species of larger moths. What we need therefore are efficient, flexible methods, where citizen-science records typically contain minimal covariate information.

公民科学统计推断生态统计蝴蝶监测物种分布