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Seriation (archaeology)

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91:. Petrie listed the contents of each grave on a strip of cardboard and swapped the papers around until he arrived at a sequence he was satisfied with. He reasoned that the most accurate sequence would be the one where concentrations of certain design styles had the shortest duration across the sequence of papers (Renfrew and Bahn 1996, p. 116; Kendall 1971, p. 215; Shennan 1997, p. 341). Whereas Petrie is considered the inventor of contextual seriation, Brainerd (1951) and Robinson (1951) were the first to address the problem of frequency seriation (Shennan 1997, p. 342). 195:. The sequence of the first axis of a correspondence analysis is considered the best seriation order (Shennan 1997, p. 342; Lock 2003, p. 127; Jensen & Høilund Nielsen 1997). Using this technique, not only the sequence of the objects but also those of the design styles is established. Note that external evidence is needed to establish the direction of the sequence calculated, i.e. the method does not tell whether the first object in the sequence is the oldest or the youngest object. 68:, frequency seriation relies on measuring the proportional abundance or frequency of a design style. Contextual seriation is often used for reconstructing the chronological sequence of graves as only the presence or absence of a design style or type is important. Frequency seriation is applied in cases of large quantities of objects belonging to the same style. An example of this being assemblages of pottery shards that include roughly the same range of types, though in different proportions. 311: 307:
chronological sequence as it does not provide a link to another context. Similarly, contexts containing one object only are irrelevant for seriation. Therefore, the contexts with one or no object and types represented by one object or not at all were eliminated. The resulting raw simulated data consisting of 43 contexts and 34 types are shown on the left. As expected, the dots indicating the occurrence of a type in a context are close to the diagonal of the table.
387: 395: 413: 331: 319: 129:), this design style is not appropriate for seriation and its inclusion in the analysis may result in strange results. Some design styles were used for a very long time as the shape constructed was handy and no improvement or ornament was added. Of course, these design styles are not eligible for chronological seriation. For example, knives in early medieval times in Europe are said to show no chronological variation. 351: 262: 254: 246: 174:(1971), Petrie's paper showed already a deep understanding of the mathematics of the seriation problem (Quote: "..in my view Petrie should be ranked with the greatest applied mathematicians of the nineteenth century"). In Baxter's (2003, p. 8) list of landmarks of statistics in archaeology the paper of Robinson (1951) is the first entry. Robinson based his frequency seriation method on a 382:
of the scores on the first axis on the basis of some known absolute dates will create good estimates for the unknown absolute dates, and this approach is the basis of the method presented by Groenen and Poblome (see above) to combine relative and absolute dates. This ideal example shows that a linear
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The assumption that design styles follow a bell curve of popularity – starting slowly, growing to a peak and then dying away as another style becomes popular – provides the basis for frequency seriation. It also assumes that design popularity will be broadly similar from site to
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Note that the distances of the scores for adjacent contexts on the first axis vary: At the beginning and the end, the distances are extremely small, the largest distances in the centre is about 30 times as large as the smallest distance. Hill and Gauch (1979) created a similar contingency table with
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is contained in contexts 1 and 2. Contextual seriation sorts the design styles and the contexts in such a way that the star symbols are found as close as possible to the diagonal of the table. Of course, for a small examples like this, no computer programs are needed to find the best ordering, but
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The correspondence analysis results shown in the figures below were calculated on the basis of 49 contexts with ideal seriation data. The scatterplot of the first two correspondence analysis axes shows the typical parabola shape. The display of the scores on the first and the third axes exhibits
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The image on the right hand side shows the result of the seriation for this data set. Note that the dots are even more compact along the diagonal of the table compared to the raw data. This shows a minor problem of seriation: In fact, the intervals of production may be somewhat longer than those
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techniques for seriation problems, and this approach has also been used by some other scientists (see Baxter 2003, pp. 202–203). Baxter also presents a review of statistical methods for seriation and a description of these approaches (pp. 202–207). In 1975, Doran and Hodson
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methods to date archaeological finds and features. Seriation is a standard method of dating in archaeology. It can be used to date stone tools, pottery fragments, and other artifacts. In Europe, it has been used frequently to reconstruct the chronological sequence of graves in a cemetery (e.g.
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by WinBasp. Initially 60 contexts (called units in WinBasp) were created along with 50 types. The contexts were labeled in chronological order by numbers 01 to 60, the types are labeled in the form T00001 to T00050. If a type is represented by one object only this object is not relevant for the
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The contingency table shows 29 contexts with ideal seriation data as created by Kendall and Jensen & Høilund Nielsen (see above). With each new context a new type appears and another type disappears. For this regular data, it seems reasonable to assume constant time intervals for contexts
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Janssen, U.: Die frühbronzezeitlichen Gräberfelder von Halawa, Shamseddin, Djerniye, Tawi und Wreide am Mittleren Euphrat. Versuch einer Datierung und Deutung sozialer Strukturen anhand multivariater statistischer Verfahren (Korrespondenzanalyse und Seriation). Ugarit Forschungen 34, Münster
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In addition to temporal organization, seriation results may reflect assemblage differences in social status, age, sex or those resulting from regional variation (or a combination of two or more of these factors). Shennan (1997, p. 343) presents a seriation result of Danish
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Groenen, P. J. F. and J. Poblome (2003). Constrained correspondence analysis for seriation in archaeology applied to Sagalassos ceramic tablewares. In: Schwaiger, M. and O. Opitz (eds.), Exploratory Data Analysis in Empirical Research. Springer, Berlin:
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by Hill and Gauch (1980). Both Kendall and Jensen & Høilund Nielsen (1997) created artificial data sets to show that the parabola results in ideal circumstances. Therefore, it is recommended inspecting the scatterplot of the first two axes of
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Poblome, J. and P. J . F. Groenen (2003). Constrained correspondence analysis for seriation of Sagalassos tablewares. In M. Doerr and A. Sarris (eds.), Computer Applications and Quantitative Methods in Archaeology. Hellinic Ministry of Culture,
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a regular structure with each context containing six types. They note, too, that the within-context distances are smaller at the ends than in the middle. This was one of the reasons why they proposed an adjustment which is called
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as well as to the stratigraphy of a site. Also, the terms Archaeological sequence and Archaeological stratigraphy are closely related and somewhat interchangeable. These colloquial uses of the term are normal in conversation
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based on artefact types like daggers, axes, and swords. The result is not a chronological sequence due to the selection of types, the ordering seems to start with extremely male hoards and ends with extremely female ones.
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Two different variants of seriation have been applied: contextual seriation and frequency seriation (Renfrew and Bahn 1996, pp. 116–117). Whereas contextual seriation is based on the presence or absence of a
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in the late nineteenth century. He found that the graves he was uncovering contained no evidence of their dates and their discrete nature meant that a sequence could not be constructed through their
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transformation might not be appropriate in all cases, though a simulation study by van de Velden, Groenen and Poblome comes to the conclusion that the predictions of the approach are quite good.
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showed the form of a horse-shoe where the graves were arranged on the curve according to their chronological order. Similarly, a mapping of the component scores for the first two axes of the
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calculated by the algorithm. In general, the sequences of contexts and types calculated by a seriation algorithm are not the correct chronological sequences but they are fairly close.
513:. In other words, the events causing the stratigraphic contexts to be deposited happened one after another, in an order which can be determined from study of the several 183:(pp. 269–281) summarized the state of the art of seriation methods thoroughly, giving detailed descriptions of Kendall's and Robinson's approaches. 125:
frequently is the basis of a seriation. Errors in typology result in errors in seriation: For example, if a certain design style had two peaks in popularity (
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indicating which design style can be found in which context by a star symbol. For example, consider the first column: context 3 contains the design styles
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of objects can be placed into sequence so that sites with the most similar proportions of certain styles are always together (Lock 2003, p. 125).
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The small example below was inspired by Flinders Petrie's serial ordering of Egyptian pottery as published by Renfrew and Bahn (1996, p. 117).
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In 2003, Groenen and Poblome adapted the correspondence analysis algorithm to combine seriation with absolute dates and stratigraphic relationships.
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If more than one factor is important, the arch effect may distort the results. Hill and Gauch (1980) presented a method to remove this effect.
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The task of identifying design styles i.e. to form groups of objects belonging to the same design style is by no means trivial. Creating a
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Nowadays, seriation results are no longer produced manually as in Petrie's times but by appropriate algorithms. Though according to
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Jensen, C.K. and K. Høilund Nielsen (1997). Burial Data and Correspondence Analysis. In Jensen, C.K. and K. Høilund Nielsen (eds.)
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Doran and Hodson (1975, p. 269) list three conditions that must be satisfied to obtain a chronological seriation result:
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A free software by Øyvind Hammer (Oslo), which calculates a correspondence analysis, a detrended CA, or a canonical CA.
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Jørgensen, L. (ed.) (1992). Chronological Studies of Anglo-Saxon England, Lombard Italy and Vendel Period Sweden.
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The traits or attributes included in the seriation must depend on cultural aspects (rather than on function).
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Hill, M.O. and Gauch, H.G. (1980). Detrended Correspondence Analysis: An Improved Ordination Technique.
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if the design styles considered are controlled by one factor only (like chronology). This is called the
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Regional variation must be kept to a minimum, i.e. assemblages must best be drawn from one locality.
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The term 'sequence' when narrowly defined, and used in a serious piece of writing, refers to the
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The image above shows the scatterplot with the typical parabola shape of the first two axes of a
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Today, the most popular seriation method both for contextual and frequency problems is based on
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Chronologie der merowingerzeitlichen Grabfunde vom linken Niederrhein bis zur nördlichen Eifel.
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for larger data sets like the 900 graves studied by Petrie they are extremely helpful.
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Burial and Society: The Chronological and Social Analysis of Archaeological Burial Data
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Brainerd, G.W. (1951). The place of chronological ordering in archaeological analysis.
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Materialien zur Bodendenkmalpflege im Rheinland, Heft 15. Köln: Rheinland-Verlag GmbH.
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Robinson, W.S. (1951). A method for chronologically ordering archaeological deposits.
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How to perform a correspondence analysis. A short guide to archaeological practice
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Seriation, Stratigraphy, and Index Fossils: The Backbone of Archaeological Dating
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from numerous sites in the same culture are placed in chronological order. Where
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methods, such as radio carbon, cannot be applied, archaeologists have to use
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to find out if other factors play a role as well (see Examples 2 and 3).
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Seriation by constrained correspondence analysis: a simulation study.
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The objects analyzed must all come from a single cultural tradition.
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The archaeological sequence (or sequence) for short, on a specific
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Another way of presenting the raw data for contextual seriation:
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Example 2: Simulated data, seriation and correspondence analysis
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Müssemeier, U., Nieveler, E., Plum, R., Pöppelmann, H. (2003).
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Kendall, D.G. (1971). "Seriation from abundance matrices". In
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Example 3: Ideal data, seriation and correspondence analysis
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Petrie, F. W. M. (1899). Sequences in prehistoric remains.
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van de Velden, M., Groenen, P. J. F., Poblome, J. (2007).
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Mathematics in the Archaeological and Historical Sciences
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Pages displaying short descriptions of redirect targets
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CAPCA – Excel based seriation program (Windows)
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Using Computers in Archaeology: towards virtual pasts
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Pages displaying wikidata descriptions as a fallback
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Jørgensen 1992; Müssemeier, Nieveler et al. 2003).
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Global Boundary Stratotype Section and Point (GSSP)
165: 874:. Aarhus University Press, pp. 29–61. 202:to the cemetery data of Münsingen. The resulting 1852: 989:Step by step introduction to frequency seriation 915:O'Brien, Michael J. and R. Lee Lyman (1999). 398:Result of correspondence analysis: axes 1 and 3 390:Result of correspondence analysis: axes 1 and 2 378:Nevertheless, some archaeologists think that a 273:The raw data are stored in an unsorted binary 187:Correspondence analysis for seriation purposes 1009: 932:Archaeology. Theories, Methods, and Practice 577: 497:of a given site or any discrete part of the 342:for the contexts of the simulated data set. 142:Three conditions for chronological seriation 968:WINBASP – Seriation program (Windows) 750: 748: 314:Raw simulated data for contextual seriation 99: 1016: 1002: 726: 724: 707: 705: 402: 732:Mathematics and Computers in Archaeology. 675:. Edinburgh: Edinburgh University Press. 667: 665: 663: 661: 530: – Glossary for archaeological terms 453:Learn how and when to remove this message 1564:Global Standard Stratigraphic Age (GSSA) 978:R-package seriation (Windows/Linux/OS X) 831:Econometric Institute Report EI 2007-40. 745: 650:Journal of the Anthropological Institute 473:Normally it is adequate to equate it to 469:can be defined on two levels of rigour. 393: 385: 349: 329: 317: 309: 260: 252: 244: 27:Archaeological method of relative dating 721: 702: 302:The data presented in this example was 178:. In 1971, Kendall proposed the use of 14: 1853: 821:: CS1 maint: archived copy as title ( 658: 160: 997: 238:Example 1: Small contextual seriation 949:. Charleston SC: CreateSpace. 2015. 730:Doran, J.E. and F.R. Hodson (1975). 435:adding citations to reliable sources 406: 269:0=context does not contain the type 24: 1363:Adoption of the Gregorian calendar 863:. London: Thames & Hudson Ltd. 59:Contextual and frequency seriation 25: 1877: 961: 934:. London: Thames and Hudson Ltd. 930:Renfrew, C. and Bahn, P. (1996). 373:detrended correspondence analysis 334:Result of correspondence analysis 249:Raw data for contextual seriation 411: 166:Development of seriation methods 1245:English and British regnal year 784: 774: 422:needs additional citations for 363:points lying on a third degree 1023: 764: 686: 642: 621: 597: 257:Result of contextual seriation 13: 1: 1358:Old Style and New Style dates 838: 1310:Pre-Julian / Julian 734:Edinburgh University Press. 94: 7: 1543:Geological history of Earth 1413:Astronomical year numbering 919:. New York: Plenum Press. 521: 481:and other evidence such as 267:1=context contains the type 232: 116: 10: 1882: 1861:Archaeological terminology 528:Archaeological association 71: 1797: 1781: 1765: 1723: 1715:Thermoluminescence dating 1633: 1622: 1610:Samarium–neodymium dating 1577: 1556: 1530: 1521: 1483: 1421: 1376: 1340: 1309: 1300: 1263: 1225: 1104: 1079: 1031: 846:Statistics in Archaeology 1429:Chinese sexagenary cycle 590: 505:. It is a succession of 200:multidimensional scaling 180:multidimensional scaling 100:Description of the model 1643:Amino acid racemisation 673:Quantifying Archaeology 567:Ordination (statistics) 507:Archaeological contexts 403:Archaeological sequence 340:correspondence analysis 221:correspondence analysis 208:correspondence analysis 198:Kendall (1971) applied 193:correspondence analysis 18:Archaeological sequence 1866:Methods in archaeology 1648:Archaeomagnetic dating 1160:Era of Caesar (Iberia) 537:Archaeological context 399: 391: 355: 335: 323: 315: 270: 258: 250: 210:result will display a 1548:Geological time units 945:Siegmund, F. (2015). 904:. London: Routledge. 861:Ancient North America 671:Shennan, St. (1997). 605:Arkæologiske Skrifter 499:archaeological record 475:archaeological record 397: 389: 380:linear transformation 353: 333: 321: 313: 264: 256: 248: 105:site within the same 1600:Law of superposition 1595:Isotope geochemistry 573:Reverse stratigraphy 561:Law of superposition 542:Archaeological phase 431:improve this article 354:Ideal seriation data 172:David George Kendall 127:bimodal distribution 1733:Fluorine absorption 1710:Luminescence dating 1605:Luminescence dating 1513:Milankovitch cycles 1353:Proleptic Gregorian 1185:Hindu units of time 844:Baxter, M. (2003). 467:archaeological site 322:Result of seriation 161:Statistical methods 1835:Terminus post quem 1815:Synchronoptic view 1782:Linguistic methods 1743:Obsidian hydration 1678:Radiometric dating 1663:Incremental dating 1585:Chronostratigraphy 859:Fagan, B. (2005). 848:. London: Arnold. 718:, pp.293–301 713:American Antiquity 699:, pp.301–313 694:American Antiquity 400: 392: 359:adjacent in time. 356: 336: 324: 316: 271: 259: 251: 34:, seriation is a 1848: 1847: 1761: 1760: 1618: 1617: 1479: 1478: 1434:Geologic Calendar 1296: 1295: 955:978-1-5153-5347-8 900:Lock, G. (2003). 463: 462: 455: 275:contingency table 176:similarity matrix 16:(Redirected from 1873: 1840:ASPRO chronology 1789:Glottochronology 1705:Tephrochronology 1653:Dendrochronology 1631: 1630: 1528: 1527: 1327:Proleptic Julian 1317:Pre-Julian Roman 1307: 1306: 1102: 1101: 1018: 1011: 1004: 995: 994: 832: 826: 820: 812: 810: 809: 803: 797:. 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1047: 1045: 1042: 1040: 1037: 1036: 1034: 1030: 1026: 1019: 1014: 1012: 1007: 1005: 1000: 999: 996: 990: 987: 984: 981: 979: 976: 974: 971: 969: 966: 965: 956: 952: 948: 944: 941: 940:0-500-27867-9 937: 933: 929: 926: 925:0-306-46152-8 922: 918: 914: 911: 910:0-415-16770-1 907: 903: 899: 896: 895:0-85224-213-1 892: 888: 884: 881: 880:87-7288-686-2 877: 873: 869: 865: 862: 858: 855: 854:0-340-76299-3 851: 847: 843: 842: 830: 824: 818: 804:on 2008-10-03 800: 793: 787: 777: 767: 760: 757: 751: 749: 741: 740:0-85224-250-6 737: 733: 727: 725: 717: 714: 708: 706: 698: 695: 689: 682: 681:0-7486-0791-9 678: 674: 668: 666: 664: 662: 654: 651: 645: 638: 637:3-7927-1894-4 634: 630: 624: 617: 613: 609: 606: 600: 596: 585: 582: 579: 576: 574: 571: 568: 565: 562: 559: 557: 556:Harris matrix 554: 552: 549: 543: 540: 538: 535: 529: 526: 525: 516: 512: 511:relationships 508: 504: 500: 496: 492: 488: 484: 480: 476: 472: 471: 470: 468: 457: 454: 446: 436: 432: 426: 425: 420:This section 418: 414: 409: 408: 396: 388: 384: 381: 376: 374: 368: 366: 360: 352: 343: 341: 332: 328: 320: 312: 308: 305: 295: 292: 288: 284: 280: 276: 263: 255: 247: 243: 230: 227: 224: 222: 217: 213: 209: 205: 201: 196: 194: 184: 181: 177: 173: 155: 152: 149: 148: 147: 139: 136: 130: 128: 124: 114: 112: 108: 92: 90: 86: 82: 79:excavated at 78: 69: 67: 56: 53: 49: 45: 41: 37: 33: 19: 1753:Stratigraphy 1747: 1698:Uranium–lead 1668:Lichenometry 1466:Winter count 1449:Mesoamerican 1377:Astronomical 1195:Mesoamerican 1180:Sothic cycle 1155:Seleucid era 1140:Bosporan era 1128: / 1118: 1066:Paleontology 946: 931: 916: 901: 886: 871: 860: 845: 828: 806:. 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A 433:by 83:in 42:or 30:In 1857:: 1390:, 819:}} 815:{{ 759:42 747:^ 723:^ 716:16 704:^ 697:16 660:^ 653:29 375:. 281:, 1409:) 1405:( 1394:) 1386:( 1191:) 1187:( 1017:e 1010:t 1003:v 957:. 942:. 927:. 912:. 897:. 882:. 856:. 825:) 811:. 742:. 683:. 639:. 618:. 608:5 456:) 450:( 445:) 441:( 427:. 20:)

Index

Archaeological sequence
archaeology
relative dating
assemblages
artifacts
absolute dating
relative dating
design style
Flinders Petrie
Diospolis Parva
Egypt
stratigraphy
culture
assemblage
typology
bimodal distribution
hoards
David George Kendall
similarity matrix
multidimensional scaling
correspondence analysis
multidimensional scaling
scatterplot
correspondence analysis
parabola
correspondence analysis



contingency table

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