Reconstruction of the occupation layer of archaeological sites based on statistical analysis of soil materials

2022 ◽  
Vol 41 ◽  
pp. 103347
Author(s):  
Igor Zhurbin ◽  
Alexander Borisov ◽  
Anna Zlobina
Keyword(s):  
Statistical Analysis ◽  
Archaeological Sites

Calculating ceramic vessel volume: an assessment of methods

Antiquity ◽  
2013 ◽  
Vol 87 (338) ◽  
pp. 1182-1190 ◽  
Author(s):  
Erin Christine Rodriguez ◽  
Christine A. Hastorf
Keyword(s):  
Statistical Analysis ◽  
Social Activity ◽  
Archaeological Sites ◽  
Plan View ◽  
Circular Form ◽  
Elliptical Shape ◽  
Ceramic Vessel ◽  
Vessel Volume ◽  
Ceramic Vessels

Calculating the volume of ceramic vessels found whole or in fragments on archaeological sites is a key analytical endeavour that can have implications for economic and social activity, including storage and feasting. Established methods for estimating volumes are mostly based on the assumption that vessel shapes approximate to a circular form in plan-view. This new study shows that such an assumption may not be warranted and that methods that assume circularity produce less accurate volumetric estimates than approaches which accept that a less regular elliptical shape may be closer to reality. Statistical analysis allows the accuracy of the different methods to be compared and evaluated.

The Early Dynastic-Akkadian transition, Part 1. When did the Akkadian period begin?

Iraq ◽  
1997 ◽  
Vol 59 ◽  
pp. 1-7
Author(s):  
Donald Matthews
Keyword(s):  
Statistical Analysis ◽  
Social Structure ◽  
Present State ◽  
Reference Sequence ◽  
Archaeological Sites ◽  
Early Dynastic ◽  
First Empire ◽  
Administrative Innovations ◽  
Historical Periods ◽  
Southern Iraq

We may want to recognise an “Akkadian period” in archaeology for two reasons. A sequence of periods is used as a system of chronological reference, and the Akkadian period conventionally represents the time from 2334–2154 BC (Walker 1995, 234). Periods are also used to define fields of analysis in which studies of social structure or other synchronic investigations may be conducted. The Akkadian period is known as the “first empire” which saw major political and administrative innovations. In archaeology periods have to be defined from the changes in artefact types, so a concordance is needed between the historical and artefactual phases. During the last thirty years McG. Gibson has persistently addressed questions of chronology, and has made an especially important contribution to the chronology of the Akkadian period. A new article (Gibson and McMahon 1995) represents the present state of this issue, based on excavations in the Diyala and Hamrin regions, and in the vicinity of Nippur. Dr McMahon has subjected thousands of sherds from stratified occupation surfaces to statistical analysis, and publication of their distribution and comparanda is expected. The resulting pottery sequence, exhaustively constructed, and summarised in that article, will constitute the principal reference sequence for archaeological sites of this period in southern Iraq. In this article, while accepting the validity and importance of this achievement, I will examine how the Akkadian period should be defined and how pottery sequences should be calibrated with respect to historical periods. I will suggest that the Akkadian pottery should be calibrated by ultimate reference to the glyptic sequence, and that this results in a different dating for the strata in question.

scholarly journals Capillaria spp. eggs in Patagonian archaeological sites: statistical analysis of morphometric data

2008 ◽  
Vol 103 (1) ◽  
pp. 104-105 ◽  
Author(s):  
Martín H Fugassa ◽  
Verónica Taglioretti ◽  
Marcelo LC Gonçalves ◽  
Adauto Araújo ◽  
Norma H Sardella ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Archaeological Sites ◽  
Morphometric Data

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

The use of scanning electron microscopy in interpreting chenopodium remains from three archaeological sites in northwestern Iowa

1992 ◽  
Vol 50 (2) ◽  
pp. 1112-1113
Author(s):  
Douglas William Jones
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Archaeological Sites ◽  
Late Prehistoric ◽  
Eastern United States ◽  
Chenopodium Berlandieri ◽  
Seed Identification ◽  
Level 2 ◽  
Scanning Electron

Within the past 20 years, archaeobotanical research in the Eastern United States has documented an early agricultural complex before the dominance of the Mesoamerican domesticates (corn, beans, and squash) in late prehistoric and historic agricultural systems. This early agricultural complex consisted of domesticated plants such as Iva annua var.macrocarpa (Sumpweed or Marshelder), Hellanthus annuus (Sunflower) and Chenopodium berlandieri, (Goosefoot or Lasbsquarters), and heavily utilized plants such as Polygonum erectum (Erect Knotweed), Phalaris caroliniana (May grass), and Hordeum pusillum (Little Barley).Recent research involving the use of Scanning Electron Microscopy (SEM) specifically on Chenopodium has established diagnostic traits of wild and domesticated species seeds. This is important because carbonized or uncarbonized seeds are the most commonly recovered Chenopodium material from archaeological sites. The diagnostic seed traits assist archaeobotanists in identification of Chenopodium remains and provide a basis for evaluation of Chenopodium utilization in a culture's subsistence patterns. With the aid of SEM, an analysis of Chenopodium remains from three Late Prehistoric sites in Northwest Iowa (Blood Run [Oneota culture], Brewster [Mill Creek culture], and Chan-Ya-Ta [Mill Creek culture]) has been conducted to: 1) attempt seed identification to a species level, 2) evaluate the traits of the seeds for classification as either wild or domesticated, and 3) evaluate the role of Chenopodium utilization in both the Oneota and Mill Creek cultures.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

Preparation And elemental analysis of ancient fibers

1987 ◽  
Vol 45 ◽  
pp. 410-411
Author(s):  
Allen Angel ◽  
Kathryn A. Jakes
Keyword(s):  
Cross Sections ◽  
Physical Structure ◽  
Energy Dispersive ◽  
Archaeological Sites ◽  
X Ray ◽  
Long Term Storage ◽  
Backscattered Electron ◽  
Electron Imaging

Fabrics recovered from archaeological sites often are so badly degraded that fiber identification based on physical morphology is difficult. Although diagenetic changes may be viewed as destructive to factors necessary for the discernment of fiber information, changes occurring during any stage of a fiber's lifetime leave a record within the fiber's chemical and physical structure. These alterations may offer valuable clues to understanding the conditions of the fiber's growth, fiber preparation and fabric processing technology and conditions of burial or long term storage (1).Energy dispersive spectrometry has been reported to be suitable for determination of mordant treatment on historic fibers (2,3) and has been used to characterize metal wrapping of combination yarns (4,5). In this study, a technique is developed which provides fractured cross sections of fibers for x-ray analysis and elemental mapping. In addition, backscattered electron imaging (BSI) and energy dispersive x-ray microanalysis (EDS) are utilized to correlate elements to their distribution in fibers.

Sign in / Sign up

Export Citation Format

Share Document