How to be a Quantitative Ecologist: The ‘A to R’ of Green by Jason Matthiopoulos

By Jason Matthiopoulos

Ecological examine is changing into more and more quantitative, but scholars usually choose out of classes in arithmetic and statistics, unwittingly restricting their skill to hold out examine sooner or later. This textbook presents a realistic creation to quantitative ecology for college kids and practitioners who've realised that they want this chance.

The textual content is addressed to readers who have not used arithmetic in view that university, who have been maybe extra harassed than enlightened via their undergraduate lectures in statistics and who've by no means used a working laptop or computer for a lot greater than notice processing and knowledge access. From this place to begin, it slowly yet definitely instils an knowing of arithmetic, facts and programming, enough for beginning study in ecology. The book’s sensible price is improved via broad use of organic examples and the pc language R for photographs, programming and knowledge research.

Key gains:

  • Provides an entire creation to arithmetic information and computing for ecologists.
  • Presents a wealth of ecological examples demonstrating the utilized relevance of summary mathematical techniques, exhibiting how a bit method can pass a ways in answering fascinating ecological questions.
  • Covers straight forward themes, together with the principles of algebra, logarithms, geometry, calculus, descriptive information, likelihood, speculation trying out and linear regression.
  • Explores extra complex subject matters together with fractals, non-linear dynamical structures, chance and Bayesian estimation, generalised linear, combined and additive types, and multivariate information.
  • R bins offer step by step recipes for enforcing the graphical and numerical strategies defined in each one part.

How to be a Quantitative Ecologist presents a entire creation to arithmetic, facts and computing and is the right textbook for past due undergraduate and postgraduate classes in environmental biology.

"With a publication like this, there's no excuse for individuals to be fearful of maths, and to be blind to what it will probably do."
Professor Tim Benton, college of organic Sciences, college of Leeds, UKContent:
Chapter 1 the right way to Make Mathematical Statements (pages 15–65):
Chapter 2 easy methods to Describe standard Shapes and styles (pages 67–106):
Chapter three tips on how to swap issues, One Step at a Time (pages 107–136):
Chapter four tips on how to switch issues, regularly (pages 137–175):
Chapter five the right way to paintings with amassed swap (pages 177–212):
Chapter 6 find out how to continue Stuff Organised in Tables (pages 213–250):
Chapter 7 how one can Visualise and Summarise info (pages 251–277):
Chapter eight how you can positioned a price on Uncertainty (pages 279–297):
Chapter nine the way to determine other kinds of Randomness (pages 299–344):
Chapter 10 the best way to See the woodland from the bushes (pages 345–380):
Chapter eleven find out how to Separate the sign from the Noise (pages 381–423):
Chapter 12 tips to degree Similarity (pages 425–440):

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Additional resources for How to be a Quantitative Ecologist: The ‘A to R’ of Green Mathematics and Statistics

Sample text

Coordinate systems Comparison between two real numbers m and n can have one of three outcomes (m > n, m = n, m < n). Such comparisons enable us to order numbers. 41 The small set of integers S = {5, 3, 9, 4, −4, 1, 7, 10, −2} can be rewritten in ordered form as S = {−4, −2, 1, 3, 4, 5, 7, 9, 10}. 41 because there is an infinity of real numbers before, after and between any two real numbers. We therefore need a different way to visualise such noncountable sets. If there are infinite real numbers between any two real numbers, then we need something that is so small that an infinity of it would fit in the gap.

This is done by enclosing the labels in quotation marks: "An", "Pl", "Fn", "Pr", "Ar", "Mo" The labels can be collected together using the concatenation command c(): c("An", "Pl", "Fn", "Pr", "Ar", "Mo") and the taxonomy is declared using the command factor() which says to R that a collection of specimens can be classified according to this scheme of labels (more on factors in Chapter 7): factor(c("An", "Pl", "Fn", "Pr", "Ar", "Mo")) so, to classify a collection of organisms according to kingdom, each specimen needs to be associated with one of the six categories in this factor.

The number of decimal places in a numerical result is the number of digits after the decimal point. 30719 has five decimal places. 3072. Similarly, rounding off to an integer gives 1. 5 can be treated in several different ways. We may, for example, decide to round off to the nearest integer up, to get the result 2. However, this introduces a consistent tendency to obtain numerically larger results. Alternatively, we may toss a coin every time we need to make a decision, but doing this mentally is likely not to be random.

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