Download PDF by Philip Verhagen: Case Studies in Archaeological Predictive Modeling

By Philip Verhagen

ISBN-10: 9087280076

ISBN-13: 9789087280079

Dutch archaeology has skilled profound adjustments lately. This has ended in an expanding use of archaeological predictive modelling, a strategy that makes use of information regarding the positioning of identified early human settlements to foretell the place extra settlements can have been situated. Case reviews in Archaeological Predictive Modelling is the fabricated from a decade of labor by way of Philip Verhagen as a consultant in geographical details structures at RAAP Archeologisch Adviesbureau BV, one of many prime organisations within the box; the case reports provided right here offer an summary of the sphere and element to strength destiny components of analysis.

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Extra info for Case Studies in Archaeological Predictive Modeling

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The Kj method decides that in the latter case the model performs better, although the gains obtained are equal. However, for the purposes of archaeological resources management, it seems that a model based on gain values is more useful, as the total surface to be considered is smaller. In the cases that were analysed for this study, we often see categories that contribute strongly to the increase in gain and Kj. Other units will only have a limited effect on the total gain, and there are also units that will strongly decrease the gain of the model.

From this period onward, the geographical expansion of the pottery kilns shows only minor changes until well into the 4th century, even though the products themselves changed completely, moving from Belgic wares to red slip wares and covering a whole range of black slip beakers and common coarse wares as well. 2. Topographical map of the Argonne study area. Source: Institut Géographique National. 32 CHAPTER 2 The success of the Argonne wares has often been explained by the privileged position of the region close to several major Roman roads that connected it to the main communication network of this part of the Roman Empire, putting it at a relatively short distance of several of the larger cities of northern Gaul, such as Reims and Metz, and providing many markets and redistribution centers for its products.

However, χ2 in itself does not say anything about the relative importance of map units for site location, and its application as the only statistical tool for predictive modelling has therefore been criticised on a number of occasions (Wansleeben and Verhart, 1992; van Leusen, 1996; Kamermans and Rensink, 1999). g. 6). Even so, in some cases the statistical requirements could not be met. In these cases, Yates’ correction has been applied to calculate χ2. It should however be pointed out that in the case of less than 40 observations, the application of χ2, even with Yates’ correction, should be regarded with suspicion.

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Case Studies in Archaeological Predictive Modeling by Philip Verhagen

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