Multi-, Inter- And Transdisciplinary Research in Landscape Archaeology 2016
DOI: 10.5463/lac.2014.61
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Predictive Modelling of Younger Dryas Archaeological Remains in Southern Flevoland (Central Netherlands)

Abstract: In this research locations are selected in Southern Flevoland (Central Netherlands) which are most likely to contain archaeological remains dating to the Younger Dryas (YD) (12,900-11,700 cal BP). To map and determine these locations two steps are performed: 1) The Pleistocene surface of Southern Flevoland is classified into landforms using a GIS application based on Topographic Position Index. 2) Data on the geomorphological setting and the distance to the nearest freshwater source of well-dated YD archaeolog… Show more

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“…Baales, 1996); another view moderated to shorter distance migration between the SE Netherlands in summer and the Ardennes in winter (Arts & Deeben, 1981). The Federmesser and Ahrensburg habitation occurred predominantly on well-drained coversand ridges near lakes, fens and oxbow lakes (Deeben & Arts, 2005; Deeben & Rensink, 2005; De Bie & Van Gils, 2006; Crombé et al, 2011, 2013; Van den Biggelaar & Kluiving, 2015; Van den Biggelaar et al, 2016 for an overview of Younger Dryas archaeological sites and dates in NW Europe).…”
Section: Introductionmentioning
confidence: 99%
“…Baales, 1996); another view moderated to shorter distance migration between the SE Netherlands in summer and the Ardennes in winter (Arts & Deeben, 1981). The Federmesser and Ahrensburg habitation occurred predominantly on well-drained coversand ridges near lakes, fens and oxbow lakes (Deeben & Arts, 2005; Deeben & Rensink, 2005; De Bie & Van Gils, 2006; Crombé et al, 2011, 2013; Van den Biggelaar & Kluiving, 2015; Van den Biggelaar et al, 2016 for an overview of Younger Dryas archaeological sites and dates in NW Europe).…”
Section: Introductionmentioning
confidence: 99%
“…"Inductive" in this context refers to the use of a model that is based on the relationship between known archaeological sites and other attributes, as determined by machine learning methods, to predict locations of equal suitability. However, this widespread approach (as used in [3][4][5][6]) only describes first-order effects and is based on the premise that the sites are representative of the actual distribution. This is especially problematic for locations with sparse findings [7] (p. 17).…”
Section: Introductionmentioning
confidence: 99%