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Kernel density estimation and transition maps of Moldavian Neolithic and Eneolithic settlement.

ABSTRACT: The data presented in this article are related to the research article entitled "Neo-Eneolithic settlement pattern and salt exploitation in Romanian Moldavia" (Brigand and Weller, 2018) [1]. Kernel density estimation (KDE) is used in order to move beyond the discrete distribution of sites and to enable us to work on a continuous surface that reflects the intensity of the occupation in the space. Maps of density per period - Neolithic I (Cris), Neolithic II (LBK), Eneolithic I (Precucuteni), Eneolithic II (Cucuteni A), Eneolithic III-IV (Cucuteni A-B and B) - are used to create maps of density difference (Figs. 1-4) in order to analyse the dynamic (either non-existent, negative or positive) between two chronological sequences.

SUBMITTER: Brigand R

PROVIDER: S-EPMC5988340 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Kernel density estimation and transition maps of Moldavian Neolithic and Eneolithic settlement.

Brigand Robin R Weller Olivier O

Data in brief 20180203

The data presented in this article are related to the research article entitled "Neo-Eneolithic settlement pattern and salt exploitation in Romanian Moldavia" (Brigand and Weller, 2018) [1]. Kernel density estimation (KDE) is used in order to move beyond the discrete distribution of sites and to enable us to work on a continuous surface that reflects the intensity of the occupation in the space. Maps of density per period - Neolithic I (Cris), Neolithic II (LBK), Eneolithic I (Precucuteni), Eneo ...[more]

PMID: 29876417

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