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667 per centimeter : climate science, quantitative biology, statistics, and energy policy

“Linnaeus, letting fall his hand on a bunch of Moss at his side, exclaimed, ‘Underneath this palm is material for the study of a lifetime’; and if this is true of a handful of Moss, the treasures of a township must be inexhaustible. We need not seek for new worlds to conquer.“ — Timothy Otis Fuller, “A Sketch of the Flora of Needham”, 1886

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← The Southern California fires, courtesy of NASA Earth Observatory

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Posted on 15 December 2017 by ecoquant

(Hat tip to Yale Climate Connections)

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This entry was posted in Anthropocene, climate, climate change, climate disruption, climate economics, flooding, floods, Florida, hydrology, Hyper Anthropocene, sea level rise. Bookmark the permalink.

← The Southern California fires, courtesy of NASA Earth Observatory

The Internet was not created “because of an intelligence effort” →

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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

667 per centimeter : climate science, quantitative biology, statistics, and energy policy

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