Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 15

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Point Pattern Analysis as Tool for Digital Geoarchaeology: A Case Study of Megalithic Graves in Schleswig-Holstein, Germany

Knitter, Daniel, Nakoinz, Oliver·2018·Natural Science in Archaeology
DOI 10.1007/978-3-319-25316-9_4

Published version of a preprint

Open this paper in CoChat — free account

Abstract

In this contribution, we apply different methods of spatial and geomorphometric analysis in order to present a general approach of data exploration in areas where detailed local information is absent. Our data are based on locations of megalithic graves from Funnel Beaker societies (3700–2800 BCE) in the area of Schleswig-Holstein, Germany. Using these locations, we apply methods of point pattern analysis in order to reconstruct the spatial processes that created the sample: We use density-based measures to show the influence of first-order effects on the dataset. While first-order effects are related to the underlying areal characteristics of the point locations and hence are determinant of their intensity, second-order effects are the result of interactions between points. We conduct distance-related approaches, e.g. focusing on nearest-neighbour characteristics, in order to investigate the interaction between the points. The point pattern analyses are complemented by integrating geomorphometric measures that are indirectly indicative for some general environmental conditions, even in prehistoric times. This helps (a) to relate first-order effects to societal or environmental features and (b) to understand the specific pattern of interactions between the points. The necessary raw data in the form of digital elevation models are freely available for large parts of the globe. All analyses are conducted using free and open-source software in order to provide their limitless ap…

Overview

Integrity signals

Registry

Crossref · 10.1007/978-3-319-25316-9_4

Cites

38 of 38 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 12

  1. Ahnert F (1981) Über die Beziehung zwischen quantitativen, semiquantitativen und qualitativen Methoden in der Geomorphologie. Z Geomorphol Supplement Band 39:1–28
  2. Ahnert F (2003) Einführung in die Geomorphologie. Eugen Ulmer, Stuttgart
  3. Furholt M (2012) Monuments and durable landscapes in the Neolithic of southern Scandinavia and northern Central Europe. In: Furholt M, Hinz M, Miscka D (eds) “As time goes by?” Monumentality, landscapes and the temporal perspective. Proceedings of the international workshop “socio-environmental dynamics over the last 12,000 years: the creation of landscapes II (14th–18th March 2011)” in Kiel, no. 206 in Universitätsforschungen zur prähistorischen Archäologie. Habelt, Bonn, pp 115–132
  4. Legendre P, Legendre L (2012) Numerical ecology. In: Developments in environmental modelling, 3rd english edn, vol 24. Elsevier, Amsterdam
  5. Meynen E, Schmithüsen J (eds) (1962) Handbuch der naturräumlichen Gliederung Deutschlands, vol Band II. Bundesanstalt für Landeskunde und Raumforschung, Bad Godesberg
  6. Müller J (2011) Megaliths and funnel beakers: societies in change 4100–2700 BC. Drieendertigste Kroon-Voordracht, Amsterdam
  7. Müller J (2014) 4100–2700 B.C. monuments and ideologies in the neolithic landscape. In: Osborne JF (ed) Approaching monumentality in archaeology, The Institute for European and Mediterranean Archaeology distinguished monograph series. State University of New York Press, Albany, pp 181–214
  8. Pebesma E, Bivand RS (2005) S classes and methods for spatial data: the sp package. R News 5(2):9–13. ftp://200.236.31.2/CRAN/web/packages/sp/vignettes/intro_sp.pdf
  9. Schmidtke KD (1995) Die Entstehung Schleswig-Holsteins: von der Eiszeit zur Kulturlandschaft, 3rd edn. Wachholtz, Neumünster
  10. Schütt B, Löhr H, Baumhauer R (2002) Mensch-Umwelt-Beziehungen in Raum und Zeit–Konzeption eines Fundstellenkatasters für die Region Trier. Petermanns Geographische Mitteilungen 146(6):74–83
  11. Ssymank A (1994) Neue Anforderungen im europäischen Naturschutz. Das Schutzgebietssystem Natura 2000 und die FFH -Richtlinie der EU. Natur und Landschaft 69(9):395–406
  12. Witt W (1962) Schleswiger geest. In: Meynen E, Schmithüsen J (eds) Handbuch der naturräumlichen Gliederung Deutschlands, vol Band II. Bundesanstalt für Landeskunde und Raumforschung, Bad Godesberg, pp 1018–1021

Cited by

See all 15

Metadata

Authors
Knitter, D., & Nakoinz, O.
Venue
Natural Science in Archaeology
Publisher
Springer International Publishing
Published
2017-09-01
Pages
45-64
ISSN
1613-9712
DOI
10.1007/978-3-319-25316-9_4
Cited by
15
References
38
Licence
creativecommons.org/licenses/by/4.0 (unspecified)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.