Distributed Solar: The Democratizaton of Energy
Blogroll
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- Why It’s So Freaking Hard To Make A Good COVID-19 Model Five Thirty Eight’s take on why pandemic modeling is so difficult
- American Statistical Association
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- "Perpetual Ocean" from NASA GSFC
- "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.
- BioPython A collection of Python tools for quantitative Biology
- Beautiful Weeds of New York City
- Gabriel's staircase
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- What If
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- SASB Sustainability Accounting Standards Board
- Pat's blog While it is described as “The mathematical (and other) thoughts of a (now retired) math teacher”, this is false humility, as it chronicles the present and past life and times of mathematicians in their context. Recommended.
- Leadership lessons from Lao Tzu
- Los Alamos Center for Bayesian Methods
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- Healthy Home Healthy Planet
- "Talking Politics" podcast David Runciman, Helen Thompson
- 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/
- In Monte Carlo We Trust The statistics blog of Matt Asher, actually called the “Probability and Statistics Blog”, but his subtitle is much more appealing. Asher has a Manifesto at http://www.statisticsblog.com/manifesto/.
- James' Empty Blog
- "The Expert"
- Awkward Botany
- Subsidies for wind and solar versus subsidies for fossil fuels
- NCAR AtmosNews
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- Comprehensive Guide to Bayes Rule
- Mrooijer's Numbers R 4Us
- Ted Dunning
- Karl Broman
- Professor David Draper
- Dr James Spall's SPSA
- 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.
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Woods Hole Oceanographic Institution (WHOI)
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- Logistic curves in market disruption From DollarsPerBBL, about logistic or S-curves as models of product take-up rather than exponentials, with notes on EVs
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- The Alliance for Securing Democracy dashboard
- Giant vertical monopolies for energy have stopped making sense
climate change
- "Getting to the Energy Future We Want," Dr Steven Chu
- Documenting the Climate Deniarati at work
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- 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.
- "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
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- "A field guide to the climate clowns"
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- History of discovering Global Warming From the American Institute of Physics.
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- "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.
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- Exxon-Mobil statement on UNFCCC COP21
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- Jacobson WWS literature index
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- Jacobson WWS literature index
- Agendaists Eli Rabett’s coining of a phrase
- Grid parity map for Solar PV in United States
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- Social Cost of Carbon
- “Ways to [try to] slow the Solar Century''
- Climate at a glance Current state of the climate, from NOAA
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- The Keeling Curve The first, and one of the best programs for creating a spatially significant long term time series of atmospheric concentrations of CO2. Started amongst great obstacles by one, smart determined guy, Charles David Keeling.
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- MIT's Climate Primer
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- An open letter to Steve Levitt
- “The discovery of global warming'' (American Institute of Physics)
- Simple models of climate change
- Ice and Snow
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- Berkeley Earth Surface Temperature
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- Earth System Models
- "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.
- weather blocking patterns
- Interview with Wally Broecker Interview with Wally Broecker
- Nick Bower's "Scared Scientists"
- Wally Broecker on climate realism
- "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.)
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- Reanalyses.org
- `Who to believe on climate change': Simple checks By Bart Verheggen
- 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
- Thriving on Low Carbon
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
Archives
Jan Galkowski
Category Archives: big data
There’s Big Data, Tiny Data, and now Dead Data
You’ve heard of Big Data. You may have heard of Tiny Data. But now, presented in the Harvard Data Science Review, Professor Steve Stigler presents Dead Data See: S. M. Stigler, “Data have a limited shelf life”, Harvard Data Science … Continue reading
Posted in big data, dead data, statistics, tiny data
Leave a comment
“Hadoop is NOT ‘Big Data’ is NOT Analytics”
Arun Krishnan, CEO & Founder at Analytical Sciences comments on this serious problem with the field. Short excerpt: … A person who is able to write code using Hadoop and the associated frameworks is not necessarily someone who can understand … Continue reading
A new feature: Technical publications of the week
I’m beginning a new style of column, called technical publications of the week. While I can’t promise these will be weekly, I will, from time to time, highlight technical publications I’ve recently read which I consider to be noteworthy. I … Continue reading
Posted in Anthropocene, big data, climate change, climate disruption, data science, data streams, earthquakes, geophysics, global warming, Hyper Anthropocene, Locality Sensitive Hashing, LSH, MinHash, numerical algorithms, numerical analysis, random projections, seismology, subspace projection methods, SVD, the right to be and act stupid, the tragedy of our present civilization, the value of financial assets
1 Comment
NextGen VOICES: `On data’, `On setbacks’, and `On discovery’
Science Magazine has a periodic column called Science in brief and occasionally that column features a set of what they call “NextGen VOICES”, meaning young scientists. They gather the survey using Twitter (of course) via the hashtag #NextGenSci. For the … Continue reading
data.table
R provides a helpful data structure called the “data frame” that gives the user an intuitive way to organize, view, and access data. Many of the functions that you would us… Source: Intro to The data.table Package
On Smart Data
One of the things I find surprising, if not astonishing, is that in the rush to embrace Big Data, a lot of learning and statistical technique has been left apparently discarded along the way. I’m hardly the first to point … Continue reading
Posted in Akaike Information Criterion, Bayes, Bayesian, Bayesian inversion, big data, bigmemory package for R, changepoint detection, data science, data streams, dlm package, dynamic generalized linear models, dynamic linear models, dynamical systems, Generalize Additive Models, generalized linear models, information theoretic statistics, Kalman filter, linear algebra, logistic regression, machine learning, Markov Chain Monte Carlo, mathematics, mathematics education, maths, maximum likelihood, MCMC, Monte Carlo Statistical Methods, multivariate statistics, numerical analysis, numerical software, numerics, quantitative biology, quantitative ecology, rationality, reasonableness, sampling, smart data, state-space models, statistical dependence, statistics, the right to know, time series
Leave a comment
K-Nearest Neighbors: dangerously simple
Originally posted on mathbabe:
I spend my time at work nowadays thinking about how to start a company in data science. Since there are tons of companies now collecting tons of data, and they don’t know what do to do…
Posted in big data, data science, evidence, machine learning
Leave a comment
R and “big data”
On 2nd November 2015, Wes McKinney, the developer of the highly useful Python pandas module (and other things, including books), wrote an amusing blog post, “The problem with the data science language wars“. I by no means disagree with him. … Continue reading
ecoquant
667 per centimeter : climate science, quantitative biology, statistics, and energy policy 