A tale of two matrices: multivariate approaches in evolutionary biology

MW Blows - Journal of evolutionary biology, 2007 - academic.oup.com
Two symmetric matrices underlie our understanding of microevolutionary change. The first is
the matrix of nonlinear selection gradients (γ) which describes the individual fitness surface …

The three major axes of terrestrial ecosystem function

M Migliavacca, T Musavi, MD Mahecha, JA Nelson… - Nature, 2021 - nature.com
The leaf economics spectrum, and the global spectrum of plant forms and functions revealed
fundamental axes of variation in plant traits, which represent different ecological strategies …

Governance effects on deforestation in the tropics: A review of the evidence

R Fischer, L Giessen, S Günter - Environmental Science & Policy, 2020 - Elsevier
In view of a continuing global decrease of forest cover, many authors mention forest
governance as a basic concept contributing to reduced deforestation, specifically in the …

Financial health as a measurable social determinant of health

EB Weida, P Phojanakong, F Patel, M Chilton - PloS one, 2020 - journals.plos.org
Objectives Financial health, understood as one's ability to manage expenses, prepare for
and recover from financial shocks, have minimal debt, and ability to build wealth, underlies …

[CARTE][B] Experimental design and data analysis for biologists

GP Quinn, MJ Keough - 2002 - books.google.com
An essential textbook for any student or researcher in biology needing to design
experiments, sample programs or analyse the resulting data. The text begins with a revision …

[CARTE][B] Randomization, bootstrap and Monte Carlo methods in biology

BFJ Manly - 2018 - taylorfrancis.com
Modern computer-intensive statistical methods play a key role in solving many problems
across a wide range of scientific disciplines. This new edition of the bestselling …

PCAtest: testing the statistical significance of Principal Component Analysis in R

A Camargo - PeerJ, 2022 - peerj.com
Abstract Principal Component Analysis (PCA) is one of the most broadly used statistical
methods for the ordination and dimensionality-reduction of multivariate datasets across …

How many principal components? Stop** rules for determining the number of non-trivial axes revisited

PR Peres-Neto, DA Jackson, KM Somers - Computational Statistics & Data …, 2005 - Elsevier
Principal component analysis is one of the most widely applied tools in order to summarize
common patterns of variation among variables. Several studies have investigated the ability …

Analysis and map** of geochemical anomalies using logratio-transformed stream sediment data with censored values

EJM Carranza - Journal of Geochemical Exploration, 2011 - Elsevier
There is lack of research and documentation of actual (as opposed to theoretical) benefits
(eg, mineral deposit discovery) of developments in compositional data analysis and …

Bootstrap** Q methodology to improve the understanding of human perspectives

A Zabala, U Pascual - PloS one, 2016 - journals.plos.org
Q is a semi-qualitative methodology to identify typologies of perspectives. It is appropriate to
address questions concerning diverse viewpoints, plurality of discourses, or participation …