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F James Rohlf

Biographic Data

ID96967
NAMEF James Rohlf
GIVEN NAMESF James
FAMILY NAMERohlf
SIGNATUREROHLF F J
AFFILIATIONSState University of New York
ORCID0000-0003-0522-3679
VERIFIEDYes
TOTAL WORKS12
TOTAL CITATIONS67
AUTHOR COUNT12
EDITOR COUNT0
FIRST PUBLICATION YEAR1975
LATEST PUBLICATION YEAR2019
H-INDEX4
  • Efficacy of diffeomorphic surface matching and 3D geometric morphometrics for taxonomic discrimination of Early Pleistocene hominin mandibular molars

    Open Access•J Braga, Zimmer et al.•ARTICLE•Journal of Human Evolution•2019•Cited by: 10•References: 71

  • The shape of human evolution: A geometric morphometrics perspective

    Open Access•K L Baab, Kieran P Mcnulty et al.•ARTICLE•Evolutionary Anthropology Issues…•2012•Cited by: 33•References: 63

    Study of morphological form is fundamental to the discipline of paleoanthropology. The size and shape of our ancestors' anatomical features have long been the focus of research on hominin systematics, phylogeny, functional morphology, ontogeny, variation, and evolutionary change. Early physical anthropologists relied on both qualitative descriptions of anatomical shape and linear measurements to assess variation among hominins. The seminal works …

  • Morphometrics and phylogenetics: Principal components of shape from cranial modules are neither appropriate nor effective cladistic characters

    Open Access•Dean C Adams, Andrea Cardini et al.•ARTICLE•Journal of Human Evolution•2011•Cited by: 7•References: 23

  • Geometric morphometrics: Ten years of progress following the ‘revolution’

    Dean C Adams, F James Rohlf et al.•ARTICLE•Italian Journal of Zoology•2004

    The analysis of shape is a fundamental part of much biological research. As the field of statistics developed, so have the sophistication of the analysis of these types of data. This lead to multivariate morphometrics in which suites of measurements were analyzed together using canonical variates analysis, principal components analysis, and related methods. In the 1980s, a fundamental change began in the nature of the data gathered and analyzed. …

  • Bias and error in estimates of mean shape in geometric morphometrics

    Open Access•F James Rohlf•ARTICLE•Journal of Human Evolution•2003•Cited by: 17•References: 21

  • Use of Two-Block Partial Least-Squares to Study Covariation in Shape

    F James Rohlf, Marco Corti et al.•ARTICLE•Systematic Biology•2000

    The relatively new two-block partial least-squares method for analyzing the covariance between two sets of variables is described and contrasted with the well-known method of canonical correlation analysis. Their statistical properties, type of answers, and visualization techniques are discussed. Examples are given to show its usefulness in comparing two sets of variables--especially when one or both of the sets of variables are shape variables f…

  • Statistical power comparisons among alternative morphometric methods

    Open Access•F James Rohlf•ARTICLE•American Journal of Physical…•2000•References: 21

    This paper compares the statistical power of various tests that have been proposed to test for equality of shape in two populations. Power surfaces are computed with emphasis on the simplest case of three points in the plane (i.e., landmarks at the vertices of a triangle). Goodall's ([1991] J Roy Stat Soc Serb 53:285-339) F-test was found to have the highest power followed by T(2)-tests using Kendall tangent space coordinates. Power for T(2)-test…

  • Shape Statistics: Procrustes Superimpositions and Tangent Spaces

    Open Access•F James Rohlf•ARTICLE•Journal of Classification•1999

  • Extensions of the Procrustes Method for the Optimal Superimposition of Landmarks

    F James Rohlf, Dennis E Slice et al.•ARTICLE•Systematic Zoology•1990

    Superimposition methods for comparing configurations of landmarks in two or more specimens are reviewed. These methods show differences in shape among specimens as residuals after rotation, translation, and scaling them so that they align as well as possible. A new method is presented that generalizes Siegel and Benson's (1982) resistant-fit theta-rho analysis so that more than two objects can be compared at the same time. Both least-squares and …

  • Biometry: The Principles and Practice of Statistics in Biological Research

    F James Rohlf, Robert R Sokal•BOOK•Biometry•1981

  • Reification In Factor Analysis: A Plasmode Based On Human Physiology-Of-Exercise Variables

    Robert R Sokal, F James Rohlf et al.•ARTICLE•Multivariate Behavioral Research•1980

    This study investigates the validity of multiple factor analysis in a known model in biology, and -- by extension -- in other fields. A plasmode was constructed by subjecting three test subjects to 100 different combinations of temperature, humidity and exercise levels, and measuring 45 physiological response variables, some of these three times during the experiment. Factor analysis of the correlation matrix among response variables with the put…

  • Primary Product Functionplane: An Oblique Rotation to Simple Structure

    Jeffrey Owen Katz, F James Rohlf•ARTICLE•Multivariate Behavioral Research•1975

    A new method of factor rotation to an oblique simple structure is proposed and compared to the Harris and Kaiser (1964) independend cluster method and the Katz and Rohlf (1974) functionplane method for several sets of data. The new method yields simple structure solutions with larger numbers of variables in the primary pattern hyperplanes and also lower obliiquity

  • The shape of human evolution: A geometric morphometrics perspective

    Open Access•K L Baab, Kieran P Mcnulty et al.•ARTICLE•Evolutionary Anthropology Issues…•2012•Cited by: 33•References: 63

    Study of morphological form is fundamental to the discipline of paleoanthropology. The size and shape of our ancestors' anatomical features have long been the focus of research on hominin systematics, phylogeny, functional morphology, ontogeny, variation, and evolutionary change. Early physical anthropologists relied on both qualitative descriptions of anatomical shape and linear measurements to assess variation among hominins. The seminal works …

  • Bias and error in estimates of mean shape in geometric morphometrics

    Open Access•F James Rohlf•ARTICLE•Journal of Human Evolution•2003•Cited by: 17•References: 21

  • Efficacy of diffeomorphic surface matching and 3D geometric morphometrics for taxonomic discrimination of Early Pleistocene hominin mandibular molars

    Open Access•J Braga, Zimmer et al.•ARTICLE•Journal of Human Evolution•2019•Cited by: 10•References: 71

  • Morphometrics and phylogenetics: Principal components of shape from cranial modules are neither appropriate nor effective cladistic characters

    Open Access•Dean C Adams, Andrea Cardini et al.•ARTICLE•Journal of Human Evolution•2011•Cited by: 7•References: 23

  • Primary Product Functionplane: An Oblique Rotation to Simple Structure

    Jeffrey Owen Katz, F James Rohlf•ARTICLE•Multivariate Behavioral Research•1975

    A new method of factor rotation to an oblique simple structure is proposed and compared to the Harris and Kaiser (1964) independend cluster method and the Katz and Rohlf (1974) functionplane method for several sets of data. The new method yields simple structure solutions with larger numbers of variables in the primary pattern hyperplanes and also lower obliiquity

  • Reification In Factor Analysis: A Plasmode Based On Human Physiology-Of-Exercise Variables

    Robert R Sokal, F James Rohlf et al.•ARTICLE•Multivariate Behavioral Research•1980

    This study investigates the validity of multiple factor analysis in a known model in biology, and -- by extension -- in other fields. A plasmode was constructed by subjecting three test subjects to 100 different combinations of temperature, humidity and exercise levels, and measuring 45 physiological response variables, some of these three times during the experiment. Factor analysis of the correlation matrix among response variables with the put…

  • Biometry: The Principles and Practice of Statistics in Biological Research

    F James Rohlf, Robert R Sokal•BOOK•Biometry•1981

  • Extensions of the Procrustes Method for the Optimal Superimposition of Landmarks

    F James Rohlf, Dennis E Slice et al.•ARTICLE•Systematic Zoology•1990

    Superimposition methods for comparing configurations of landmarks in two or more specimens are reviewed. These methods show differences in shape among specimens as residuals after rotation, translation, and scaling them so that they align as well as possible. A new method is presented that generalizes Siegel and Benson's (1982) resistant-fit theta-rho analysis so that more than two objects can be compared at the same time. Both least-squares and …

  • Shape Statistics: Procrustes Superimpositions and Tangent Spaces

    Open Access•F James Rohlf•ARTICLE•Journal of Classification•1999

  • Use of Two-Block Partial Least-Squares to Study Covariation in Shape

    F James Rohlf, Marco Corti et al.•ARTICLE•Systematic Biology•2000

    The relatively new two-block partial least-squares method for analyzing the covariance between two sets of variables is described and contrasted with the well-known method of canonical correlation analysis. Their statistical properties, type of answers, and visualization techniques are discussed. Examples are given to show its usefulness in comparing two sets of variables--especially when one or both of the sets of variables are shape variables f…

  • Statistical power comparisons among alternative morphometric methods

    Open Access•F James Rohlf•ARTICLE•American Journal of Physical…•2000•References: 21

    This paper compares the statistical power of various tests that have been proposed to test for equality of shape in two populations. Power surfaces are computed with emphasis on the simplest case of three points in the plane (i.e., landmarks at the vertices of a triangle). Goodall's ([1991] J Roy Stat Soc Serb 53:285-339) F-test was found to have the highest power followed by T(2)-tests using Kendall tangent space coordinates. Power for T(2)-test…

  • Bias and error in estimates of mean shape in geometric morphometrics

    Open Access•F James Rohlf•ARTICLE•Journal of Human Evolution•2003•Cited by: 17•References: 21

  • Geometric morphometrics: Ten years of progress following the ‘revolution’

    Dean C Adams, F James Rohlf et al.•ARTICLE•Italian Journal of Zoology•2004

    The analysis of shape is a fundamental part of much biological research. As the field of statistics developed, so have the sophistication of the analysis of these types of data. This lead to multivariate morphometrics in which suites of measurements were analyzed together using canonical variates analysis, principal components analysis, and related methods. In the 1980s, a fundamental change began in the nature of the data gathered and analyzed. …

  • Morphometrics and phylogenetics: Principal components of shape from cranial modules are neither appropriate nor effective cladistic characters

    Open Access•Dean C Adams, Andrea Cardini et al.•ARTICLE•Journal of Human Evolution•2011•Cited by: 7•References: 23

  • The shape of human evolution: A geometric morphometrics perspective

    Open Access•K L Baab, Kieran P Mcnulty et al.•ARTICLE•Evolutionary Anthropology Issues…•2012•Cited by: 33•References: 63

    Study of morphological form is fundamental to the discipline of paleoanthropology. The size and shape of our ancestors' anatomical features have long been the focus of research on hominin systematics, phylogeny, functional morphology, ontogeny, variation, and evolutionary change. Early physical anthropologists relied on both qualitative descriptions of anatomical shape and linear measurements to assess variation among hominins. The seminal works …

  • Efficacy of diffeomorphic surface matching and 3D geometric morphometrics for taxonomic discrimination of Early Pleistocene hominin mandibular molars

    Open Access•J Braga, Zimmer et al.•ARTICLE•Journal of Human Evolution•2019•Cited by: 10•References: 71

Mathematics (10 works) · Morphological variations and asymmetry (9 works) · Statistics (7 works) · Computer Science (6 works) · Biology (5 works) · Geometry (5 works) · Morphometrics (5 works) · Combinatorics (4 works) · Evolutionary biology (4 works) · Evolution and Paleontology Studies (3 works)

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