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By Philip Verhagen

Dutch archaeology has skilled profound alterations in recent times. This has resulted 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 could have been situated. Case experiences in Archaeological Predictive Modelling is the made from a decade of labor by means of Philip Verhagen as a expert in geographical details structures at RAAP Archeologisch Adviesbureau BV, one of many best businesses within the box; the case reports awarded right here supply an outline of the sector and aspect to strength destiny components of study.

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Extra resources for Case Studies in Archaeological Predictive Modeling

Example text

5. Distribution of the archaeological sites over the analysis windows. Underlined figures indicate situations where the results of the analysis will be unreliable (n < 40). Windows: FULL(VIS) – whole study region, visible sites; SURV(VIS) – surveyed zones, visible sites; FULL(ALL) – whole study region, all sites; SURV(ALL) – surveyed and trenched zones, all sites. Periods: E/M – Epipalaeolithic/Mesolithic; EN – early Neolithic; MN – middle Neolithic; LN – late Neolithic; BA – Bronze Age; IA – Iron Age.

It was the only survey that RAAP ever did in France, and it combined traditional field walking, geophysical survey, and core sampling on an unprecedented scale. The project was also remarkable because it used predictive modelling for selecting the areas that needed to be surveyed to improve the model. In terms of increasing the archaeological knowledge of the area, the project was very successful. However, in terms of influencing the attitude of the French archaeological community towards a more positive view of predictive modeling, it failed to be a success.

The effort put into the survey clearly resulted in a more accurate and more precise model. 79 for the high probability zone, which is extremely high. However, the costs for survey were very high, and it is not realistic to expect survey projects of this size being carried out to improve a predictive model in the current Dutch situation. The model was also about the last inductive/correlative model made by RAAP. Around 1998, RAAP switched its methodology to 'expert judgment' mapping (see also chapter 4).

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