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Species abundances, raw abundances, and species composition

Posted on 23 December 2014 by ecoquant

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

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About ecoquant

See http://www.linkedin.com/in/deepdevelopment/ and https://667-per-cm.net/about

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This entry was posted in biology, climate, conservation, ecology, environment, mathematics, mathematics education, population biology, Schnabel census, science, science education, statistics. Bookmark the permalink.

← Bayesian inference works even in a chaotic or deterministic world

“… making a big assumption …” →

3 Responses to Species abundances, raw abundances, and species composition

navasolanature says:

24 December 2014 at 10:10

Not sure I can follow all the maths. Any idiots guide to how this links to climate change and supervise search!

Reply
- hypergeometric says:
  
  24 December 2014 at 10:20
  
  I just reblogged the piece. Ask Nathan at Climate Change Ecology. He did recommend lectures by Joe Blitzstein of Harvard, although those lectures from what I have seen (I have not watched them) are not specific to population biology. I might also recommend the book Bayesian Analysis for Population Ecology by King, Morgan, Gimenez, and Brooks, which I am currently working through.
  
  Reply
  - navasolanature says:
    
    24 December 2014 at 10:28
    
    Ok thanks!
    
    Reply

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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
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