2009
DOI: 10.1017/s0002731600048733
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Measuring Time, Population, and Residential Mobility from the Surface at San Marcos Pueblo, North Central New Mexico

Abstract: To understand the effects of European contact on the organization, size, and mobility of Pueblo populations in the Southwest requires detailed knowledge of the occupational histories of the aggregated settlements that typify the late prehistoric and early historic record. Unfortunately, such understanding is generally lacking because the methods used to document occupational histories of settlements tend to either obscure fine-grained temporal distinctions or necessitate costly, and politically objectionable, … Show more

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Cited by 18 publications
(10 citation statements)
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“…The statistic then transforms the data to capture the next highest amount of variance in the next principal component, and so on. 19 This results in reduction of noise and clustering of data points that share similar properties. 19 …”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The statistic then transforms the data to capture the next highest amount of variance in the next principal component, and so on. 19 This results in reduction of noise and clustering of data points that share similar properties. 19 …”
Section: Methodsmentioning
confidence: 99%
“…19 This results in reduction of noise and clustering of data points that share similar properties. 19 …”
Section: Methodsmentioning
confidence: 99%
“…As is the case for traditional frequency seriation, the direction of temporal change within the CA space is arbitrary. In areas where the production span of ceramic types is reasonably well known, the success of the CA in producing a temporal ordering can be evaluated by comparing the order of points along the first axis of the CA to the order of mean ceramic dates (MCD) calculated for each site assemblage (see also Ramenofsky et al, 2009). The MCD of an assemblage is calculated by multiplying the number of sherds of a given type by the mid-point of the date range for that type, summing those values for all types, and then dividing by the total ceramic count (South, 1977).…”
Section: Correspondence Analysismentioning
confidence: 99%
“…In the absence of such information, researchers have often assumed that the deposition histories of pottery types follow normal or Gaussian distributions and have used this model to assess the relative intensity of occupation through time following an approach known as mean ceramic dating (Christenson 1994;Duwe 2011;Ramenofsky et al 2009;South 1972;Steponaitis and Kintigh 1993). Recent studies have developed methods for testing whether the Gaussian assumption is reasonable in a given situation (Bellanger and Husi 2012), and in some cases it clearly is.…”
Section: Previous Methods For Estimating Populationmentioning
confidence: 99%
“…However, instead of using empirical probability density distributions derived from calibration data, or theoretical distributions as in mean ceramic dating (Christenson 1994;Peeples and Schachner 2012;Ramenofsky et al 2009), this method begins by apportioning the probability of deposition of a potsherd of a given type uniformly over the entire production span of that type, with the production span being defined by absolute dates and stratigraphic evidence from a given region. In statistical jargon, such distributions are referred to as uniform distributions.…”
Section: Uniform Probability Density Analysismentioning
confidence: 99%