667 per centimeter : climate science, quantitative biology, statistics, and energy policy
“Linnaeus, letting fall his hand on a bunch of Moss at his side, exclaimed, ‘Underneath this palm is material for the study of a lifetime’; and if this is true of a handful of Moss, the treasures of a township must be inexhaustible. We need not seek for new worlds to conquer.“ — Timothy Otis Fuller, “A Sketch of the Flora of Needham”, 1886
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Category Archives: American Bryological and Lichenological Society

Bryophyta and the Importance of Sphagnum for the Carbon Cycle

Posted on 14 April 2021 by ecoquant
Posted in American Bryological and Lichenological Society, biology, bryology, bryophytes, Carbon Cycle, carbon dioxide, climate disruption, climate emergency, ecological disruption, ecology, global warming, mosses | Tagged bryophyta, Carbon Cycle, mosses, sphagnum | Leave a comment

New Meetup: Massachusetts Mosses and Lichens

Posted on 26 February 2021 by ecoquant

I have started a new Meetup group: Massachusetts Mosses and Lichens. I am inviting anyone with an interest in mosses and lichens to join in, particularly if you live in the “greater Massachusetts area”. Because of pandemic, there’ll be no … Continue reading →

Posted in ABLS, American Bryological and Lichenological Society, American Statistical Association, biology, Botany, Brent Mishler, bryology, bryophytes, citizen data, citizen science, ecology, field biology, field research, field science, Hale Reservation, Janice Glime, Jerry Jenkins, lichenology, lichens, longitudinal survey of mosses, macrophotography, maths, mesh models, mosses, Nancy G Slack, National Phenology Network, population biology, population dynamics, Ralph Pope, science, spatial statistics, statistical ecology, Sue Williams, the right to know, Westwood | Leave a comment
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  • Goodreads

  • Kalman filtering and smoothing; dynamic linear models



    Also, see datasets and R examples to accompany this excellent text.





    I have used dlm almost exclusively, except when extreme efficiency was required. Since Jouni Helske's KFAS was rewritten, though, I'm increasingly drawn to it, because the noise sources it supports are more diverse than dlm's. KFAS uses the notation and approaches of Durbin, Koopman, and Harvey.

    ``The real problem is that programmers have spent far too much time worrying about efficiency in the wrong places and at the wrong times; premature optimization is the root of all evil (or at least most of it) in programming.''
    Professor Donald Knuth, 1974
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