Category Archives: population biology

“Human activity has nothing big enough to affect Earth”

“Human activity has nothing big enough to affect Earth.” That’s disingenuous and, usually, the speaker knows better but is trying to dissuade an audience from thinking human activity does. Or they parrot someone who is trying to do that. But … Continue reading

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Richard Muller: “I Was Wrong On Global Warming, But It Didn’t Convince The ‘Sceptics'”

Update. 26th February 2015 This is not directly related to the BEST project described in the YouTube video above, but the Berkeley National Laboratory has experimentally linked increases in radiative forcing with increases in atmospheric concentrations of CO2 due to … Continue reading

Posted in astrophysics, Bayes, carbon dioxide, citizenship, civilization, climate, climate change, climate education, differential equations, ecology, environment, geoengineering, geophysics, IPCC, mathematics, maths, meteorology, model comparison, NASA, NCAR, NOAA, oceanography, physics, population biology, rationality, Ray Pierrehumbert, reasonableness, reproducible research, risk, science, science education, sea level rise, the right to know | Leave a comment

David Suzuki on the 59th minute and exponential growth

Posted in astronomy, astrophysics, biology, bridge to nowhere, carbon dioxide, carbon dioxide capture, Carl Sagan, citizenship, civilization, climate, climate change, climate education, demand-side solutions, ecology, economics, engineering, environment, ethics, forecasting, geophysics, IPCC, mathematics, maths, meteorology, physics, population biology, rationality, reasonableness, risk, science, science education, sociology, statistics | 3 Comments

The designers of our climate

The blog … And Then There’s Physics wades deeply into the recent Monckton-Soon-Legates-Briggs paper. And, they conclude, what it is saying is that, conditional upon no feedbacks, equilibrium climate sensitivity (“ECS”) needs to be small. Except that they don’t say … Continue reading

Posted in astrophysics, bridge to nowhere, carbon dioxide, carbon dioxide capture, carbon dioxide sequestration, Carbon Tax, Carl Sagan, citizenship, civilization, climate, climate change, climate education, differential equations, ecology, economics, engineering, environment, ethics, forecasting, fossil fuel divestment, geoengineering, geophysics, humanism, IPCC, mathematics, mathematics education, maths, meteorology, methane, NASA, NCAR, Neill deGrasse Tyson, NOAA, oceanography, open data, open source scientific software, physics, politics, population biology, Principles of Planetary Climate, probabilistic programming, R, rationality, reasonableness, reproducible research, risk, science, science education, scientific publishing, sociology, solar power, statistics, testing, the right to know | 1 Comment

Hestia: A glimpse at greenhouse gas emissions enforcement

Posted in bridge to nowhere, carbon dioxide, Carbon Tax, citizen science, citizenship, civilization, climate, climate change, climate education, conservation, consumption, decentralized electric power generation, demand-side solutions, ecology, economics, education, efficiency, energy reduction, engineering, environment, ethics, fossil fuel divestment, geophysics, investing, investment in wind and solar energy, IPCC, meteorology, methane, natural gas, NOAA, oceanography, physics, politics, population biology, Principles of Planetary Climate, rationality, reasonableness, science, science education, sociology, solar power, statistics, wind power | Tagged | Leave a comment

On nested equivalence classes of climate models, ordered by computational complexity

I’m digging into the internals of ABC, for professional and scientific reasons. I’ve linked a great tutorial elsewhere, and argued that this framework, advanced by Wood, and Wilkinson (Robert), and Wilkinson (Darren), and Hartig and colleagues, and Robert and colleagues, … Continue reading

Posted in approximate Bayesian computation, Bayes, Bayesian, biology, ecology, environment, forecasting, geophysics, IPCC, mathematics, maths, MCMC, meteorology, NCAR, NOAA, oceanography, optimization, population biology, Principles of Planetary Climate, probabilistic programming, R, science, stochastic algorithms, stochastic search | Leave a comment

“[W]e want to model the process as we would simulate it.”

Professor Darren Wilkinson offers a pithy insight on how to go about constructing statistical models, notably hierarchical ones: “… we want to model the process as we would simulate it ….” This appears in his blog post One-way ANOVA with … Continue reading

Posted in approximate Bayesian computation, Bayes, Bayesian, biology, ecology, engineering, forecasting, mathematics, mathematics education, maths, model comparison, optimization, population biology, probabilistic programming, rationality, reasonableness, risk, science, science education, sociology, statistics, stochastic algorithms | Tagged | Leave a comment

struggling with problems already partly solved by others

Climate modelers and models see as their frontier the problem of dealing with spontaneous dynamics in systems such as atmosphere or ocean which are not directly forced by boundary conditions such as radiative forcing due to increased greenhouse gas (“GHG”) … Continue reading

Posted in approximate Bayesian computation, Bayes, Bayesian, biology, climate, climate education, differential equations, ecology, engineering, environment, geophysics, IPCC, mathematics, mathematics education, meteorology, model comparison, NCAR, NOAA, oceanography, physics, population biology, probabilistic programming, rationality, reasonableness, risk, science, science education, statistics, stochastic algorithms, stochastic search | 1 Comment

illustrating particle filters and Bayesian fusion using successive location estimates on the unit circle

Introduction Modern treatments of Bayesian integration to obtain posterior densities often use some form of Markov Chain Monte Carlo (“MCMC”), typically Gibbs sampling. Gibbs works well with many Bayesian hierarchical models. The standard problem-solving situation with these is that a … Continue reading

Posted in Bayes, Bayesian, biology, mathematics, maths, population biology, probabilistic programming, R, statistics, stochastic algorithms | 1 Comment

Species abundances, raw abundances, and species composition

From Climate Change Ecology, An intuitive explanation for the 'double-zeroes' problem with Euclidean distances.

Posted in biology, climate, conservation, ecology, environment, mathematics, mathematics education, population biology, Schnabel census, science, science education, statistics | 3 Comments