With its focus on the practical application of the techniques of multivariate statistics, this book shapes the powerful tools of statistics for the specific needs of ecologists and makes statistics more applicable to their course of study. It gives readers a solid conceptual understanding of the role of multivariate statistics in ecological applications and the relationships among various techniques, while avoiding detailed mathematics and the underlying theory. More importantly, the reader will gain insight into the type of research questions best handled by each technique and the important considerations in applying them. Whether used as a textbook for specialised courses or as a supplement to general statistics texts, the book emphasises those techniques that students of ecology and natural resources most need to understand and employ in their research. While targeted for upper-division and graduate students in wildlife biology, forestry, and ecology, and for professional wildlife scientists and natural resource managers, this book will also be valuable to researchers in any of the biological sciences.
Multivariate Statistics for Wildlife and Ecology Research. New York: Springer, 2000. (Introduction to multivariate statics in ecology and wildlife management, focusing on practical applications). Palmer M.W. “Putting things in even ...
Journal of Ecology ecological analysis. Vegetatio 80(2):107–138. ... Multivariate- analysis in ecology and systematics— Panacea or for covariance structure modeling. ... Multivariate statistics for wildlife and ecology research.
The goal of this important volume is to link management, evaluation, and conservation to modeling, estimation, and decision-making methods. Four major sections review these methods and applications in science-based conservation.
MacArthur, R. H., and J. W. MacArthur. 1961. On bird species diversity. Ecology 42:594–598. MacArthur, R. H., and E. O. ... Marcot, B. G., and J. Gardetto. 1980. Status of the spotted owl in Six Rivers National Forest, California.
Currently, many ecologists do not utilize machine learning as a part of the scientific process. This volume highlights how machine learning techniques can complement the traditional methodologies currently applied in this field.
A canopy-coverage method of vegetational analysis. ... A meta-analysis of Greater Sage-Grouse Centrocercus urophasianus nesting and brood-rearing habitats. Wildlife Biology ... Multivariate statistics for wildlife and ecology research.
SMART uses ratings and rankings with alternatives (usually sites) and attributes (criteria). Decision analysis originated in calculus, based on the pioneering works of Edwards, Howard, Keeney, and Raiffa in the 1960s.
Lepš, J. and Šmilauer, P. (2003) Multivariate Analysis of Ecological Data using CANOCO. Cambridge University Press ... McGarigal, K., Cushman, S. and Stafford, S. (2000) Multivariate Statistics for Wildlife and Ecology Research.
He has co-authored books on Multivariate Statistics for Wildlife and Ecology Research (Springer 2000) and Measuring Landscapes (Island Press 2006). He is most noted for the development of FRAGSTATS: spatial pattern analysis program for ...
The principal aim of this book is to present the reader with a broad overview of Earth and Environmental Sciences.