Distributed Solar: The Democratizaton of Energy
Blogroll
- Mertonian norms
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- Professor David Draper
- BioPython A collection of Python tools for quantitative Biology
- Los Alamos Center for Bayesian Methods
- distributed solar and matching location to need
- American Association for the Advancement of Science (AAAS)
- 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
- Tim Harford's “More or Less'' Tim Harford explains – and sometimes debunks – the numbers and statistics used in political debate, the news and everyday life
- 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
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- SASB Sustainability Accounting Standards Board
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- 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/.
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- 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.
- American Statistical Association
- "Perpetual Ocean" from NASA GSFC
- Slice Sampling
- Ives and Dakos techniques for regime changes in series
- Beautiful Weeds of New York City
- International Society for Bayesian Analysis (ISBA)
- "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.
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- James' Empty Blog
- Giant vertical monopolies for energy have stopped making sense
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- Karl Broman
- Number Cruncher Politics
- Woods Hole Oceanographic Institution (WHOI)
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Earle Wilson
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- 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.”
- Higgs from AIR describing NAO and EA Stephanie Higgs from AIR Worldwide gives a nice description of NAO and EA in the context of discussing “The Geographic Impact of Climate Signals on European Winter Storms”
- 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
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- Harvard's Project Implicit
- NCAR AtmosNews
- 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
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Carl Safina's blog One of the wisest on Earth
- John Cook's reasons to use Bayesian inference
- London Review of Books
- What If
climate change
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- Grid parity map for Solar PV in United States
- weather blocking patterns
- The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
- 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
- MIT's Climate Primer
- "Getting to the Energy Future We Want," Dr Steven Chu
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- Reanalyses.org
- `Who to believe on climate change': Simple checks By Bart Verheggen
- “Ways to [try to] slow the Solar Century''
- Social Cost of Carbon
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- History of discovering Global Warming From the American Institute of Physics.
- Risk and Well-Being
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- Dessler's 6 minute Greenhouse Effect video
- Jacobson WWS literature index
- An open letter to Steve Levitt
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- Documenting the Climate Deniarati at work
- Climate Change Reports By John and Mel Harte
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- Climate Change Denying Organizations
- On Thomas Edison and Solar Electric Power
- David Appell's early climate science
- Earth System Models
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- And Then There's Physics
- Climate impacts on retail and supply chains
- "Climate science is setttled enough"
- “The discovery of global warming'' (American Institute of Physics)
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- Exxon-Mobil statement on UNFCCC COP21
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- "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.
- "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.
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- Solar Gardens Community Power
- US$165/tonne CO2: Sweden Sweden has a Carbon Dioxide tax of US$165 per tonne at present. CO2 tax was imposed in 1991. GDP has grown 60%.
- The Sunlight Economy
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- The Scientific Case for Modern Human-caused Global Warming
- "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.
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- SolarLove
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
Archives
Jan Galkowski
Category Archives: statistical series
“Trump supporters go to Washington”
People don’t only have to worry about a government tracking them by their smartphones. In this case, the social effects of this capability were beneficial, because “some very bad dudes” were able to be found and identified. But most people … Continue reading
“Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions”
J. Dehning et al., Science 369, eabb9789 (2020). DOI: 10.1126/science.abb9789 Source code and data. Note: This is not a classical approach to assessing strength of interventions using either counterfactuals or other kinds of causal inference. Accordingly, the argument for the … Continue reading
Posted in American Association for the Advancement of Science, American Statistical Association, Bayesian, Bayesian computational methods, causal inference, causation, changepoint detection, coronavirus, counterfactuals, COVID-19, epidemiology, SARS-CoV-2, state-space models, statistical series, time series
Leave a comment
Calculating Derivatives from Random Forests
(Comment on prediction intervals for random forests, and links to a paper.) (Edits to repair smudges, 2020-06-28, about 0945 EDT. Closing comment, 2020-06-30, 1450 EDT.) There are lots of ways of learning about mathematical constructs, even about actual machines. One … Continue reading
Posted in bridge to somewhere, Calculus, dependent data, dynamic generalized linear models, dynamical systems, ensemble methods, ensemble models, filtering, forecasting, hierarchical clustering, linear regression, model-free forecasting, Monte Carlo Statistical Methods, non-mechanistic modeling, non-parametric model, non-parametric statistics, numerical algorithms, prediction, R statistical programming language, random forests, regression, sampling, splines, statistical learning, statistical series, statistics, time derivatives, time series
Leave a comment
Great podcast: “Confronting uncertainty with Tamsin Edwards”
Dr Tamsin Edwards visits Professor David Spiegelhalter on his “Risky Talk” podcast. Dr Edwards is a climate scientist with the title Senior Lecturer in Physical Geography at Kings College, London. There’s much good talk about climate and its associated uncertainties, … Continue reading
Posted in alternatives to the Green New Deal, American Association for the Advancement of Science, climate change, climate denial, climate education, climate policy, climate science, David Spiegelhalter, dynamical systems, fluid dynamics, games of chance, global warming, global weirding, IPCC, model comparison, risk, Risky Talk, statistical models, statistical series
Leave a comment
COVID-19 statistics, a caveat : Sources of data matter
There are a number of sources of COVID-19-related demographics, cases, deaths, numbers testing positive, numbers recovered, and numbers testing negative available. Many of these are not consistent with one another. One could hope at least rates would be consistent, but … Continue reading
“Lockdown WORKS”
Originally posted on Open Mind:
Over 2400 Americans died yesterday from Coronavirus. Here are the new deaths per day (“daily mortality”) in the USA since March 10, 2020 (note: this is an exponential plot) As bad as that news is,…
What happens when time sampling density of a series matches its growth
This is the newly updated map of COVID-19 cases in the United States, updated, presumably, because of the new emphasis upon testing: How do we know this is the recent of recent testing? Look at the map of active cases: … Continue reading
Posted in American Association for the Advancement of Science, American Statistical Association, anti-intellectualism, anti-science, climate denial, corruption, data science, data visualization, Donald Trump, dump Trump, epidemiology, experimental science, exponential growth, forecasting, Kalman filter, model-free forecasting, nonlinear systems, open data, penalized spline regression, population dynamics, sampling algorithms, statistical ecology, statistical models, statistical regression, statistical series, statistics, sustainability, the right to know, the stack of lies
1 Comment
Reanalysis of business visits from deployments of a mobile phone app
Updated, 20th October 2020 This reports a reanalysis of data from the deployment of a mobile phone app, as reported in: M. Yauck, L.-P. Rivest, G. Rothman, “Capture-recapture methods for data on the activation of applications on mobile phones“, Journal … Continue reading
Posted in Bayesian computational methods, biology, capture-mark-recapture, capture-recapture, Christian Robert, count data regression, cumulants, diffusion, diffusion processes, Ecological Society of America, ecology, epidemiology, experimental science, field research, Gibbs Sampling, Internet measurement, Jean-Michel Marin, linear regression, mark-recapture, mathematics, maximum likelihood, Monte Carlo Statistical Methods, multilist methods, multivariate statistics, non-mechanistic modeling, non-parametric statistics, numerics, open source scientific software, Pierre-Simon Laplace, population biology, population dynamics, quantitative biology, quantitative ecology, R, R statistical programming language, sampling, sampling algorithms, segmented package in R, statistical ecology, statistical models, statistical regression, statistical series, statistics, stepwise approximation, stochastic algorithms, surveys, V. M. R. Muggeo
1 Comment
A response to a post on RealClimate
(Updated 2342 EDT, 28 June 2019.) This is a response to a post on RealClimate which primarily concerned economist Ross McKitrick’s op-ed in the Financial Post condemning the geophysical community for disregarding Roger Pielke, Jr’s arguments. Pielke, in that link, … Continue reading
Posted in American Association for the Advancement of Science, American Meteorological Association, American Statistical Association, AMETSOC, Bayesian, climate change, ecology, Ecology Action, environment, evidence, experimental design, Frequentist, global warming, Hyper Anthropocene, machine learning, model comparison, model-free forecasting, multivariate statistics, science, science denier, statistical series, statistics, time series
Leave a comment
California Marine Debris Prevention: Banning Plastic Bags is Not Enough
NOAA has a full page of videos on marine debris and how to prevent it. The state of California has a 2018 plan on preventing marine debris. Here are some highlights. There is a good deal more in the report, … Continue reading
Posted in American Statistical Association, Life Cycle Assessment, life cycle sustainability analysis, policy metrics, public welfare, shop, shorelines, solid waste, solid waste management, South Shore Recycling Cooperative, spatial statistics, statistical series, statistics, supply chains, sustainability, the right to know, wishful environmentalism
Leave a comment
Procrustes tangent distance is better than SNCD
I’ve written two posts here on using a Symmetrized Normalized Compression Divergence or SNCD for comparing time series. One introduced the SNCD and described its relationship to compression distance, and the other applied the SNCD to clustering days at a … Continue reading
Posted in data science, dependent data, descriptive statistics, divergence measures, hydrology, Ian Dryden, information theoretic statistics, J.T.Kent, Kanti Mardia, non-parametric statistics, normalized compression divergence, quantitative ecology, R statistical programming language, spatial statistics, statistical series, time series
Leave a comment
Stream flow and P-splines: Using built-in estimates for smoothing
Mother Brook in Dedham Massachusetts was the first man-made canal in the United States. Dug in 1639, it connects the Charles River at Dedham, to the Neponset River in the Hyde Park section of Boston. It was originally an important … Continue reading
Posted in American Statistical Association, citizen data, citizen science, Clausius-Clapeyron equation, Commonwealth of Massachusetts, cross-validation, data science, dependent data, descriptive statistics, dynamic linear models, empirical likelihood, environment, flooding, floods, Grant Foster, hydrology, likelihood-free, meteorological models, model-free forecasting, non-mechanistic modeling, non-parametric, non-parametric model, non-parametric statistics, numerical algorithms, precipitation, quantitative ecology, statistical dependence, statistical series, stream flow, Tamino, the bootstrap, time series, water vapor
2 Comments
A look at an electricity consumption series using SNCDs for clustering
(Slightly amended with code and data link, 12th January 2019.) Prediction of electrical load demand or, in other words, electrical energy consumption is important for the proper operation of electrical grids, at all scales. RTOs and ISOs forecast demand based … Continue reading
Posted in American Statistical Association, consumption, data streams, decentralized electric power generation, dendrogram, divergence measures, efficiency, electricity, electricity markets, energy efficiency, energy utilities, ensembles, evidence, forecasting, grid defection, hierarchical clustering, hydrology, ILSR, information theoretic statistics, local self reliance, Massachusetts, microgrids, NCD, normalized compression divergence, numerical software, open data, prediction, rate of return regulation, Sankey diagram, SNCD, statistical dependence, statistical series, statistics, sustainability, symmetric normalized compression divergence, time series
2 Comments
ecoquant
667 per centimeter : climate science, quantitative biology, statistics, and energy policy 