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"Whether we and our politicians know it or not, Nature is party to all our deals and decisions, and she has more votes, a longer memory, and a sterner sense of justice than we do." — Wendell Berry
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Category Archives: Hale Reservation

a variety of bryophyte macrophotographs

Posted on 28 April 2024 by ecoquant
Posted in ABLS, amateur science, American Bryological and Lichenological Society, biology, Botany, bryology, bryophytes, citizen data, citizen science, Commonwealth of Massachusetts, ecology, field biology, Hale Reservation, macrophotography, mosses, National Phenology Network, quantitative biology, quantitative ecology, sampling algorithms, statistical ecology | 1 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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    • Slice Sampling
    • Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
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    • Darren Wilkinson's introduction to ABC Darren Wilkinson’s introduction to approximate Bayesian computation (“ABC”). See also his post about summary statistics for ABC https://darrenjw.wordpress.com/2013/09/01/summary-stats-for-abc/
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    • "Impacts of Green New Deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries" (Jacobson, Delucchi, Cameron, et al) Global warming, air pollution, and energy insecurity are three of the greatest problems facing humanity. To address these problems, we develop Green New Deal energy roadmaps for 143 countries.
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    • Why "naive Bayes" is not Bayesian Explains why the so-called “naive Bayes” classifier is not Bayesian. The setup is okay, but estimating probabilities by doing relative frequencies instead of using Dirichlet conjugate priors or integration strays from The Path.
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    • AIP's history of global warming science: impacts The American Institute of Physics has a fine history of the science of climate change. This link summarizes the history of impacts of climate change.
    • Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
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    • Climate Change: A health emergency … New England Journal of Medicine Caren G. Solomon, M.D., M.P.H., and Regina C. LaRocque, M.D., M.P.H., January 17, 2019 N Engl J Med 2019; 380:209-211 DOI: 10.1056/NEJMp1817067
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    • "Impacts of Green New Deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries" (Jacobson, Delucchi, Cameron, et al) Global warming, air pollution, and energy insecurity are three of the greatest problems facing humanity. To address these problems, we develop Green New Deal energy roadmaps for 143 countries.
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    • The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
    • "Warming Slowdown?" (part 2 of 2) The idea of a global warming slowdown or hiatus is critically examined, emphasizing the literature, the datasets, and means and methods for telling such. The second part.
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    • "Betting strategies on fluctuations in the transient response of greenhouse warming" By Risbey, Lewandowsky, Hunter, Monselesan: Betting against climate change on durations of 15+ years is no longer a rational proposition.
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    • Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
    • Isaac Held's blog In the spirit of Ray Pierrehumbert’s “big ideas come from small models” in his textbook, PRINCIPLES OF PLANETARY CLIMATE, Dr Held presents quantitative essays regarding one feature or another of the Earth’s climate and weather system.
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    • Bloomberg interactive graph on “What's warming the world''
    • `Who to believe on climate change': Simple checks By Bart Verheggen
    • Jacobson WWS literature index
    • The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
    • Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
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    • Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
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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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