Preface of the series editorsPreface of the author1 Introduction1.1 Study region1.1.1 Coordinates and reference systems1.1.2 Landscape and geomorphology1.2 Technical requirements2 State of the archaeological research in the region2.1 Chronology2.
1.1 The Funnel Beaker Group: Early and Middle Neolithic2.1.1.1 The Early and Middle Neolithic landscape2.1.1.2 Settlements and houses during the TRB2.
1.1.3 Burial practices during the TRB2.1.2 Young Neolithic2.1.3 Late Neolithic2.1.
3.1 Late Neolithic settlement structure2.1.3.2 Late Neolithic funerary practice2.1.4 Bronze Age2.1.
4.1 Metal economy and social organisation2.1.4.2 Barrow construction and demographic estimates3 Data3.1 Archaeological data3.1.1 Germany3.
1.1.1 Mecklenburg - Western Pomerania3.1.1.2 Schleswig-Holstein3.1.2 Sweden3.
1.2.1 Site typologies3.1.3 Denmark3.1.4 Case study selection3.2 Radiocarbon data3.
3 Environmental data3.3.1 Elevation and distance-based variables3.3.2 Soil and geological data4 Demography4.1 State of the art in Palaeodemography4.1.1 Radiocarbon dating4.
1.2 Demographic fluctuations in northern Germany and southern Scandinavia4.2 Household size4.2.1 House size variation in the study area4.2.2 House duration4.3 Case studies4.
3.1 Saxån-Ålabäcken valley, western Scania4.3.1.1 The Early Neolithic4.3.1.2 Early Neolithic II - Middle Neolithic II4.
3.1.3 Middle Neolithic III - V4.3.1.4 Demographic estimates4.3.2 Hyllie area4.
3.2.1 Almhov4.3.2.2 The other settlements4.3.3 Thy4.
3.3.1 Bjerre Enge4.3.3.2 Aas4.3.4 Cumulative results5 Methods5.
1 Chronological Modelling5.1.1 Radiocarbon calibration5.1.2 Summed Probability Distribution5.1.3 Kernel Density Estimation5.2 Point Pattern Analysis5.
2.1 Spatial intensity and Kernel Density Estimation5.2.2 First-Order properties5.2.2.1 Rhohat5.2.
2.2 Point Process Models5.2.3 Second-order properties5.3 Cluster Analysis5.3.1 Cluster analysis in archaeology5.3.
2 Clustering algorithms5.3.2.1 Square Error Clustering5.3.2.2 Density based clustering5.3.
2.3 Model-based clustering6 Results6.1 Chronological Modelling6.2 Point Pattern Analysis6.2.1 Point Process Models6.2.1.
1 Bornholm6.2.1.2 Northwestern Zealand6.2.1.3 Thy6.2.
1.4 Central Jutland6.2.1.5 East Holstein6.3 Cluster Analysis6.3.1 Bornholm6.
3.2 Northwestern Zealand6.3.3 Thy6.3.4 Central Jutland6.3.5 East Holstein6.
3.6 Rügen6.3.7 Southeastern Schleswig (Dänischer Wohld)6.3.8 Southwestern Scania6.3.9 Western Scania6.
3.10 Bjäre peninsula and Northeastern Scania6.4 Demographic model6.4.1 Carrying capacity estimation6.4.2 Absolute estimates7 Discussion7.1 How many?7.
2 Comparison7.2.1 Relative demographic reconstructions7.2.2 Absolute demographic reconstructions7.3 Modelling considerations8 ConclusionsReferencesAcknowledgements.