A detailed introduction to the methods used by ecologists--classification and ordination--to clarify and interpret large, unwieldy masses of multivariate field data. Permits ecologists to understand, not just mechanically use, pre-packaged programs for multivariate analysis. Demonstrates these techniques using artificial data simple enough for every analytical step to be understood.
The Interpretation of Ecological Data
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A detailed introduction to the methods used by ecologists--classification and ordination--to clarify and interpret large, unwieldy masses of multivariate field data. Permits ecologists to understand, not just mechanically use, pre-packaged programs for multivariate analysis. Demonstrates these techniques using artificial data simple enough for every analytical step to be understood.
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1 of 1 people found the following review helpful:
5.0 out of 5 stars
Understanding Multivariate Statistics,
This review is from: The Interpretation of Ecological Data: A Primer on Classification and Ordination (Hardcover)
Many multivariate statistical books emphasize calculations and examples, withour providing much understanding of the linear algebra underneath, and many others are high-level mathematics texts. Striking the right balance is difficult. In my experience, Pielou's book is the best in this sense. If you would like to get an entry-level understanding of what classification and ordination methods do, I mean, the maths behind, without getting all the way into proving theorems, this is a great book.
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Inside This Book
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First Sentence:
Probably all ecologists are familiar with field notebooks whose pages look something like Figure 1.1. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
quadrat scores, unsymmetric square matrices, data swarm, several data matrices, unipolar axis, divisive classification, percentage dissimilarity, species scores, ecological ordination, other sampling units, centroid clustering, intercluster distance, weighted average distance, reciprocal averaging, distance between two clusters, data matrix, jth point, species quantities, principal component scores, square symmetric matrix, hollow dots, ordination method, agglomerative methods, clustering criterion, dissimilarity measure Key Phrases - Capitalized Phrases (CAPs): (learn more)
Athabasca River, Cap Gris Nez, South America New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Probably all ecologists are familiar with field notebooks whose pages look something like Figure 1.1. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
quadrat scores, unsymmetric square matrices, data swarm, several data matrices, unipolar axis, divisive classification, percentage dissimilarity, species scores, ecological ordination, other sampling units, centroid clustering, intercluster distance, weighted average distance, reciprocal averaging, distance between two clusters, data matrix, jth point, species quantities, principal component scores, square symmetric matrix, hollow dots, ordination method, agglomerative methods, clustering criterion, dissimilarity measure Key Phrases - Capitalized Phrases (CAPs): (learn more)
Athabasca River, Cap Gris Nez, South America New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 9
books:
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16
books
cite this book:
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- Ordination of Plant Communities (Handbook of Vegetation Science) by R.H. Whittaker in Copyright, Back Matter (1), and Back Matter (2)
- Classification of Plant Communities (Handbook of Vegetation Science) by R.H. Whittaker in Copyright, and Back Matter
- Multivariate Analysis in Community Ecology (Cambridge Studies in Ecology) by Hugh G. Gauch in Copyright, and Back Matter
- Interpreting Multivariate Data (Probability & Mathematical Statistics) by Vic Barnett in Back Matter
- Cluster Analysis for Applications (Probability & Mathematical Statistics Monograph) by Michael R. Anderberg in Back Matter
See all 9 books this book cites
- Empirical Model-Building and Response Surfaces (Wiley Series in Probability and Statistics) by George E. P. Box in Back Matter
- Multivariate Analysis: Methods and Applications (Wiley Series in Probability and Statistics) by William R. Dillon in Back Matter
- Design of Water Quality Monitoring Systems by Robert C. Ward in Back Matter
- Robust Statistics: The Approach Based on Influence Functions (Wiley Series in Probability and Statistics) by Frank R. Hampel in Back Matter
- Exploring Data Tables, Trends, and Shapes by David C. Hoaglin in Back Matter
See all 16 books citing this book
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