02693nas a2200253 4500008004100000022001400041245016900055210007000224260001600294300001400310490000800324520182800332653001502160653002002175653001902195653001802214653002602232653001802258100001402276700001902290700002102309700001602330856009302346 2019 eng d a0016-756800aComment on: Álvaro, J. J., Esteve, J. & Zamora, S. 2019. Morphological assessment of the earliest paradoxidid trilobites (Cambrian Series 3) from Morocco and Spain0 aComment on Álvaro J J Esteve J Zamora S 2019 Morphological asses cApr-03-2019 a1691-17070 v1563 a

Álvaro et al. (2018) argued that at least six species of Acadoparadoxides described from the lower–middle Cambrian boundary interval successions in the Anti-Atlas of Morocco all belong to Acadoparadoxides mureroensis (Sdzuy, 1958), which was first described from the Iberian Chains, Spain. Their study is based entirely on a morphometric analysis, which ignores the stratigraphic occurrences of particular morphotypes, deformation-related compaction of individual sclerites and their original relief, and thus underestimates some of the earlier
described differences between these species. Their synonymization of a number of named Acadoparadoxides species is based on the morphometric approach that they rely on to distinguish between a number of congeneric species. A morphometric approach as applied by Álvaro et al. will lead to an apparent synonymy based on sclerites of similar taxa. Thus, morphometric study must be complemented by an analysis of which morphologically distinctive sclerites (i.e. cranidia and pygidia) are stratigraphically associated, and evaluation of which measurements are more critical to distinguishing sclerites that may represent distinct taxa, and the recognition of related character sets. Apart from demonstrating problems in the conclusion of Álvaro et al., our more inclusive approach of morphologic and stratigraphic analysis works to reassert the diagnostic characters and differences between six earlier named species of Acadoparadoxides. Our conclusions also emphasize the taxonomic problems associated with the identification and morphological variation of A. mureroensis owing to tectonic deformation of its topotype material and to questionable taxonomic assignment of Acadoparadoxides specimens from the Iberian sections.

10aAnti- Atla10aBiostratigraphy10aIberian Chains10amorphometrics10atrilobite systematics10aWest Gondwana1 aGeyer, G.1 aNowicki, Jakub1 aŻylińska, Anna1 aLanding, E. uhttps://www.cambridge.org/core/product/identifier/S0016756818000961/type/journal_article01668nas a2200193 4500008004100000245013800041210006900179260002100248300001200269520099900281653002001280653002101300653001801321653001301339100001601352700001901368700002101387856006601408 2010 eng d00aTowards Automating Artifact Analysis: A Study Showing Potential Application in Computer Vision and Morphometrics to Artifact Typology0 aTowards Automating Artifact Analysis A Study Showing Potential A aBerlinbSpringer a289-3053 a

First released in 1961, William A. Ritchie’s A Typology and Nomenclature of New York State Projectile Points remains an influential resource for archaeologists working in the northeastern US. Ritchie examined a large and diverse sample of stone projectile points, but not all fit neatly into his typology. In this chapter, we propose that alternative approaches afforded by computer vision and morphometrics can shed light on this and other problems of traditional stone tool typology. With the advent of computer vision, we can now examine the entire morphological continuum of projectile points through statistical shape analysis. Following automated image capture, three analytical methods were evaluated using silhouette, outline, and landmark data. Biased free capture methods to record the form of an individual projectile point, together with using invariant shape descriptors to quantify the data, may result in more objective analysis than was possible in the past.

10acomputer vision10alithics typology10amorphometrics10aNew York1 aLenardi, M.1 aMerwin, D., E.1 aElewa, A., M. T. uhttp://link.springer.com/chapter/10.1007/978-3-540-95853-6_13