Abstract
We congratulate the authors on an important contribution to temperature reconstruction methodology applicable to pollen data. Pollen data is more challenging to model than other climate proxies, such as measurements on tree rings, because of the categorical nature of pollen assemblage data and the dating uncertainty inherent to any sedimentary proxy. The authors are commended on developing a reconstruction methodology that incorporates Bchron and Bummer. In this discussion, we discuss several ideas prompted by our reading of this interesting and novel paper.
Original language | English (US) |
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Pages (from-to) | 428-430 |
Number of pages | 3 |
Journal | Environmetrics |
Volume | 27 |
Issue number | 7 |
DOIs |
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State | Published - Nov 1 2016 |
Keywords
- memory length
- spatial correlation
- temperature change
ASJC Scopus subject areas
- Statistics and Probability
- Ecological Modeling