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Quantification of Fungal Colonization, Sporogenesis, and Production of Mycotoxins Using Kernel Bioassays
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Kernel density estimation and transition maps of Moldavian Neolithic and Eneolithic settlement
Robin Brigand1, Olivier Weller1
1UMR 8215 (Trajectoires), CNRS & Univ. Paris-I Panthéon Sorbonne, France.
Data in Brief
|June 8, 2018
Summary
This study analyzes Neo-Eneolithic settlement patterns in Romanian Moldavia using kernel density estimation (KDE). It reveals settlement dynamics and changes in occupation intensity across different Neolithic and Eneolithic periods.
Area of Science:
- Archaeology
- Settlement Pattern Analysis
- Salt Exploitation
Background:
- The study builds upon research concerning Neo-Eneolithic settlement patterns and salt exploitation in Romanian Moldavia.
- Previous analyses focused on discrete site distributions, necessitating a more continuous spatial approach.
Purpose of the Study:
- To analyze the spatial dynamics of Neo-Eneolithic settlements in Romanian Moldavia.
- To understand changes in occupation intensity across distinct chronological periods.
Main Methods:
- Kernel Density Estimation (KDE) was applied to create continuous surfaces of settlement intensity.
- Density maps for specific periods (Neolithic I-II, Eneolithic I-IV) were generated.
- Maps of density difference were created to analyze chronological changes.
Main Results:
- The research generated maps illustrating settlement density for key Neo-Eneolithic periods.
- Analysis of density differences revealed the dynamic nature of settlement patterns over time.
- Spatial and temporal shifts in occupation intensity were identified.
Conclusions:
- Kernel Density Estimation provides a robust method for analyzing settlement dynamics.
- The study highlights significant changes in settlement patterns and occupation intensity during the Neo-Eneolithic in Romanian Moldavia.
- This spatial analysis offers new insights into the long-term occupation and resource exploitation in the region.
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