The Ecological Detective: Confronting Models with Data

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The present day ecologist usually functions in both field and laboratory, uses figures and computers, and frequently works with ecological ideas that are model-structured, if not model-driven. Just how do we make the field and laboratory coherent? Just how do we link versions and data? Just how do we confront multiple hypotheses with data and assign levels of belief to different hypotheses?

Ray Hilborn and Marc Mangel investigate ecological data very much as a detective would investigate a criminal offense scene by attempting different hypotheses until a coherent picture emerges. Just how do we use figures to help experimentation? Just how do we cope with time series (where data are linked in one measurement to another) or put multiple resources of data into one inferential framework? They are the types of queries asked and answered by The Ecological Detective . Just how do we integrate modeling and stats? The book isn’t a couple of pat statistical techniques but instead an approach. The backdrop required is minimal, in order that learners with an undergraduate program in figures and ecology can profitably add this function to their tool-package for solving ecological complications. The authors’ attitude is certainly among exploration, both statistical and graphical. The Ecological Detective makes liberal usage of education for the era of hypotheses, exploration of data, and the assessment of the latest models of.

See also

• Bayesian Models: A Statistical Primer for Ecologists
• Comparative Biomechanics: Life's Physical World
• Chronobiology: Biological Timekeeping