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Category Archives: Nancy G Slack

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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    • The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
    • Simon Wood's must-read paper on dynamic modeling of complex systems I highlighted Professor Wood’s paper in https://hypergeometric.wordpress.com/2014/12/26/struggling-with-problems-already-attacked/
    • The Plastic Pick-Up: Discovering new sources of marine plastic pollution
    • Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
    • Thaddeus Stevens quotes As I get older, I admire this guy more and more
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    • Healthy Home Healthy Planet
    • Awkward Botany
    • GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
    • Risk and Well-Being
    • American Statistical Association
    • Prediction vs Forecasting: Knaub “Unfortunately, ‘prediction,’ such as used in model-based survey estimation, is a term that is often subsumed under the term ‘forecasting,’ but here we show why it is important not to confuse these two terms.”
    • Rasmus Bååth's Research Blog Bayesian statistics and data analysis
    • 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/
    • South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
    • All about models
    • Mike Bloomberg, 2020 He can get progress on climate done, has the means and experts to counter the Trump and Republican digital disinformation machine, and has the experience, knowledge, and depth of experience to achieve and unify.
    • Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
    • Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
    • WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
    • Dr James Spall's SPSA
    • Hermann Scheer Hermann Scheer was a visionary, a major guy, who thought deep thoughts about energy, and its implications for humanity’s relationship with physical reality
    • Carl Safina's blog One of the wisest on Earth
    • 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.
    • Ted Dunning
    • John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
    • Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
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    • Dominic Cummings blog Chief advisor to the PM, United Kingdom
    • AP Statistics: Sampling, by Michael Porinchak Twin City Schools
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    • Lenny Smith's CHAOS: A VERY SHORT INTRODUCTION This is a PDF version of Lenny Smith’s book of the same title, also available from Amazon.com
    • Busting Myths About Heat Pumps Heat pumps are perhaps the most efficient heating and cooling systems available. Recent literature distributed by utilities hawking natural gas and other sources use performance figures from heat pumps as they were available 15 years ago. See today’s.
    • Karl Broman
    • Beautiful Weeds of New York City
  • climate change

    • Skeptical Science
    • CLIMATE ADAM Previously from the Science news staff at the podcast of Nature (“Nature Podcast”), the journal, now on YouTube, encouraging climate action through climate comedy.
    • Spectra Energy exposed
    • `Who to believe on climate change': Simple checks By Bart Verheggen
    • ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
    • On Thomas Edison and Solar Electric Power
    • The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
    • “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
    • Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
    • Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
    • `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
    • "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.
    • And Then There's Physics
    • The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
    • "Warming Slowdown?" (part 1 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. In two parts.
    • Rabett Run Incisive analysis of climate science versus deliberate distraction
    • Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
    • History of discovering Global Warming From the American Institute of Physics.
    • Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
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    • Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
    • RealClimate
    • Jacobson WWS literature index
    • NOAA Annual Greenhouse Gas Index report The annual assessment by the National Oceanic and Atmospheric Administration of the radiative forcing from constituent atmospheric greenhouse gases
    • Wally Broecker on climate realism
    • Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
    • Paul Beckwith Professor Beckwith is, in my book, one of the most insightful and analytical observers on climate I know. I highly recommend his blog, and his other informational products.
    • "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.
    • James Powell on sampling the climate consensus
    • "Getting to the Energy Future We Want," Dr Steven Chu
    • "When Did Global Warming Stop" Doc Snow’s treatment of the denier claim that there’s been no warming for the most recent N years. (See http://hubpages.com/@doc-snow for more on him.)
    • Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
    • David Appell's early climate science
    • Nick Bower's "Scared Scientists"
    • Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
    • Grid parity map for Solar PV in United States
    • "Mighty Microgrids" Webinar This is a Webinar on YouTube about Microgrids from the Institute for Local Self-Reliance (ILSR), featuring New York State and Minnesota
    • Mrooijer's Global Temperature Explorer
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    • Bloomberg interactive graph on “What's warming the world''
    • "Climate science is setttled enough"
    • Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
    • Climate impacts on retail and supply chains
    • The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
    • All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
    • Model state level energy policy for New Englad Bob Massie’s proposed energy policy for Massachusetts, an admirable model for energy policy anywhere in New England
    • "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.
    • "A field guide to the climate clowns"
    • Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
    • Steve Easterbrook's excellent climate blog: See his "The Internet: Saving Civilization or Trashing the Planet?" for example Heavy on data and computation, Easterbrook is a CS prof at UToronto, but is clearly familiar with climate science. I like his “The Internet: Saving Civilization or Trashing the Planet” very much.
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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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