AGMT3-D: A software for 3-D landmarks-based geometric morphometric shape analysis of archaeological artifacts
RESEARCH ARTICLE
AGMT3-D: A software for 3-D landmarks-based
geometric morphometric shape analysis of
archaeological artifacts
Gadi Herzlinger ID1,2*, Leore Grosman1
1 Institute of Archaeology, Mount Scopus, The Hebrew University of Jerusalem, Jerusalem, Israel, 2 The
Jack, Joseph and Morton Mandel School for Advanced Studies in the Humanities, Mount Scopus, The
Hebrew University of Jerusalem, Jerusalem, Israel
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OPEN ACCESS
Citation: Herzlinger G, Grosman L (2018) AGMT3D: A software for 3-D landmarks-based geometric
morphometric shape analysis of archaeological
artifacts. PLoS ONE 13(11): e0207890. https://doi.
org/10.1371/journal.pone.0207890
Editor: Michael D. Petraglia, Max Planck Institute
for the Science of Human History, GERMANY
Received: August 26, 2018
Accepted: November 7, 2018
Published: November 20, 2018
Copyright: © 2018 Herzlinger, Grosman. This is an
open access article distributed under the terms of
the Creative Commons Attribution License, which
permits unrestricted use, distribution, and
reproduction in any medium, provided the original
author and source are credited.
Data Availability Statement: All 3-D landmarks
data files are available from the Open Science
Framework repository: https://osf.io/sdbjk/, DOI
10.17605/OSF.IO/SDBJK.
Funding: This study was funded by the Israel
Science Foundation grant no. 27/12 (https://isf.org.
il/#/) given to Naama Goren-Inbar; Wilson
Foundation grant (http://wilsonfdn.org/) given to
Leore Grosman; and Yad Hanadiv Foundation grant
(http://www.yadhanadiv.org.il/) given to Leore
Grosman. The funders had no role in study design,
*
Abstract
We present here a newly developed software package named Artifact GeoMorph Toolbox 3D (AGMT3-D). It is intended to provide archaeologists with a simple and easy-to-use tool for
performing 3-D landmarks-based geometric morphometric shape analysis on 3-D digital
models of archaeological artifacts. It requires no prior knowledge of programming or proficiency in statistics. AGMT3-D consists of a data-acquisition procedure for automatically
positioning 3-D models in space and fitting them with grids of 3-D semi-landmarks. It also
provides a number of analytical tools and procedures that allow the processing and statistical analysis of the data, including generalized Procrustes analysis, principal component
analysis, a warp tool, automatic calculation of shape variabilities and statistical tests. It provides an output of quantitative, objective and reproducible results in numerical, textual and
graphic formats. These can be used to answer archaeologically significant questions relating to morphologies and morphological variabilities in artifact assemblages. Following the
presentation of the software and its functions, we apply it to a case study addressing the
effects of different types of raw material on the morphologies and morphological variabilities
present in an experimentally produced Acheulian handaxe assemblage. The results show
that there are statistically significant differences between the mean shapes and shape variabilities of handaxes produced on flint and those produced on basalt. With AGMT3-D, users
can analyze artifact assemblages and address questions that are deducible from the morphologies and morphological variabilities of material culture assemblages. These questions
can relate to issues of, among others, relative chronology, cultural affinities, tool function
and production technology. AGMT3-D is aimed at making 3-D landmarks-based geometric
morphometric shape analysis more accessible to archaeologists, in the hope that this
method will become a tool commonly used by archaeologists.
Introduction
Landmarks-based geometric morphometric shape analysis is a powerful tool for the quantitative description of shape variability within and between groups. More than a decade ago,
PLOS ONE | https://doi.org/10.1371/journal.pone.0207890 November 20, 2018
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AGMT3-D: A software for 3-D geometric morphometric shape analysis
data collection and analysis, decision to publish, or
preparation of the manuscript.
Competing interests: The authors have declared
that no competing interests exist.
Lycett and colleagues [1] published a seminal paper that initiated a continuous rise in the
application of geometric morphometric (GM) shape analysis methods to archaeological
objects of material culture. Although some authors had previously attempted to apply morphometric methods, these pioneering attempts had little impact due to the limited computing
power and 3-D scanning possibilities available at that time (e.g. [2, 3]). Since the work by
Lycett and colleagues, several calls have been made to encourage wider adoption of these
methods for the shape analysis of lithic artifacts and other objects of material culture [4,5].
These calls, which were indeed answered by an ever-growing volume of works [6–18], outlined
some of the problems and difficulties entailed in the application of landmarks-based GM
methods to material culture objects. The main problem was the lack of readily identifiable
homologous landmarks on such artifacts, among others [5].
While solutions have been suggested for some of the problems, such as landmark homology, another substantial problem has been overlooked: the actual process of positioning landmarks and recording their coordinates [19]. In their original work, Lycett and colleagues [1]
presented a protocol and an instrument, which they called a crossbeam co-ordinate caliper
(CCC), for the positioning and recording of 3-D homologous semi-landmarks on lithic artifacts. While the instrument and protocol were the first to enable the application of the landmarks-based 3-D geometric morphometric (3-DGM) method to lithic artifacts, the procedure
has two main disadvantages. The first is that the instrument is manually operated, and as such
its operation is extremely costly in time and resources, raises serious concerns about accuracy
and inter-analyst bias, and practically limits the resolution (i.e. number of landmarks) at
which analysis can be conducted. The second is the physical nature of the instrument and protocol; a researcher wishing to use this method must acquire the instrument and have physical
access to the studied material.
These problems had a substantial effect on the number of researchers and studies [1, 7, 14,
15, 18] applying the landmarks-based 3-DGM method. Although there are a few alternatives
to the CCC for positioning and recording of landmarks, none of them provides a complete
and comprehensive solution to the problems embedded in the process. One of these uses a
3-D digitizer like those produced by Microscribe [6]. However, as this too is a physical and
manually operated instrument, it basically has the same disadvantages as the CCC. There are
also several freely available computer programs designed for landmarks based GM analysis,
such as MorphoJ or tpsDig. However, these lack 3D (...truncated)