Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Geometric Graphs to Study Ceramic Decoration

Authors: Huet, Thomas;

Geometric Graphs to Study Ceramic Decoration

Abstract

International audience; As with geography, ceramic decorations are essentially spatial organisations of features. Therefore, they should be analysed with spatial indexes. But spatial analyses, at the shard or the complete ceramic scale, are often difficult to set up, mostly because of the contiguity of graphical features.This paper presents a new method to record and analyse ceramic decoration. We use graph theory, with a GIS interface and Python programming, to analyse ceramic decoration in a bottom-up process. A priori definitions are minimal and only concern elementary units (morphological, graphical and plastic) which compose the ceramic.The studied corpus is composed of ceramic decorations belonging to the Mailhac I facies (Late Bronze Age), characterised by complex figurative compositions. Each decoration — complete or fragmented — is considered as a spatialized network (i.e. geometric graph). Graph theory provides tools to record and measure proximities between units and normalised indexes to compare different decorations, whatever their completeness. The GIS offers a graphic interface and ensures the correctness of spatial relationships between these units. The typology of these units is realised in a hierarchical oriented graph. This structure allows processes of generalisation (going up the tree) and specification (going down the tree), permitting comparison between units with different kinds of resolution and/or complexity. The method presented here can be used for other types of mediums(statuary, rock art, etc.).

Country
France
Related Organizations
Keywords

python, [SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory, decorations, graph theory, ceramics, GIS, network analysis

19 references, page 1 of 2

Oceans of Data: Creating a Safe Haven for Information........................................................................................ 3

Theorising the Digital: A Call to Action for the Archaeological Community.................................................... 11

Interpolating 3D Stratigraphy from Indirect Information .................................................................................185

Workflow during the Excavations of the Rozprza Ring-Fort (Central Poland) ..........................................197

Supercomputing at the Trench Edge: Expediting Image Based 3D Recoding ..................................................207

The Role of Representation in Archaeological Architecture ..............................................................................399 Mario DOCCI, Carlo INGLESE, and Alfonso IPPOLITO

Digital Archaeological Dissemination: Eleniana Domus in Rome .....................................................................409 Tommaso EMPLER

On Roof Construction and Wall Strength: Non‑Linear Structural Integrity Analysis of the Early Bronze Age Helike Corridor House ..................................................................................................................421 Mariza Christina KORMANN, Stella KATSAROU, Dora KATSONOPOULOU, and Gary LOCK

An Exploratory Use of 3D for Investigating a Prehistoric Stratigraphic Sequence .........................................433 Giacomo LANDESCHI, Jan APEL, Stefan LINDGREN, and Nicolò DELL'UNTO

Les gestes retrouves: a 3D Visualization Approach to the Functional Study of Early Upper Palaeolithic Ground Stones ...............................................................................................................................447 Laura LONGO, Natalia SKAKUN, Giusi SORRENTINO, Valentina VASSALLO, Dante ABATE, Vera TEREHINA, Andrei SINITSYN, Gennady KHLOPACHEV, and Sorin HERMON

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    Powered byBIP!BIP!
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Digital Humanities and Cultural Heritage